Applied science jobs in United Kingdom

You’ll take ownership of the Data and Data Science roadmap, shaping strategy and delivering high-impact initiatives across data pipelines, ETL, and applied data science. Product Manager with a strong data background. Must have worked closely with Data Engineers and Data Scientists to deliver produ

You’ll deliver engaging, inclusive, and high-quality teaching across a range of Science programmes—from BTEC Applied Science (Levels 1–3) and Access to HE, to GCSE Science for adult learners. Join Our Science & Chemistry Teaching Team!. Are you passionate about Science and Chemistry? Do you th

Junior Data Scientist – Master’s Graduate Role.We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI.This is an excellent opportunity for a recent Maste

You will work together with a team of scientist who will coach and train you during your internship. You will join the Entrust Applied Science team as a research intern.

Morela is proud to be supporting our client in recruiting an Ethical & Human Factors SME to ensure AI systems are deployed in a safe, ethical, and human-centred manner. This is a unique opportunity to shape responsible AI adoption in high-stakes operational environments. Contract Details: • Duration: 3+ years, • IR35: Inside, • Clearance: SC or DV required, • Day Rate: £700–£900 (depending on experience) Role Overview: You will lead the integration of ethical principles and human factors into AI assurance processes, ensuring that AI adoption considers societal, cultural, and operational impacts alongside technical reliability. Your guidance will influence design, deployment, and governance of AI systems to be trustworthy, transparent, and aligned with emerging regulatory frameworks. Key Responsibilities: • Integrate ethical, human factors, and societal considerations into AI assurance processes, • Develop and implement frameworks for human oversight, trust, accountability, and explainability, • Conduct ethical risk assessments covering fairness, bias, autonomy, and proportionality of AI decision-making, • Advise on human–machine interaction, including usability, operator trust, and training requirements, • Contribute to TEV&V activities with a focus on safety, resilience, and ethical compliance, • Guide stakeholders on adherence to ethical principles, AI Strategy, and regulatory requirements (e.g., EU AI Act, ISO/IEC 42001), • Deliver training and thought leadership on responsible AI practices to project teams Required Expertise: • Proven experience in responsible AI, human factors, or ethics in technology, • Track record embedding ethical frameworks into AI/ML assurance processes, • Strong understanding of bias, fairness, and explainability challenges in AI, • Applied expertise in human factors, behavioural science, or ergonomics related to technology adoption, • Ability to bridge technical assurance, human-centred design, and regulatory compliance Desirable Experience: • Experience in Defence, Aerospace, or national security environments, • Familiarity with MOD or Defence ethical guidance for AI, • Background in user research, human–machine teaming, or safety-critical systems Why This Role: This is a rare opportunity to influence how AI interacts with humans and society in high-stakes environments. Join a programme where ethical, human-centred design is central to mission success

We are seeking outstanding, enthusiastic, and innovative-thinking global talents who are committed to research and teaching excellence to fill multiple tenure-track or tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: • Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science., • Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography., • Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering., • Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes stable research funding for research equipment acquisition, laboratory technicians, and graduate students and postdocs. The compensation package comes with a full range of fringe benefits, including health insurance, housing allowance, children’s education, and retirement annuity. Application Procedures Qualified candidates must have a Ph.D. or equivalent graduate degree in a related field, a demonstrated record of research achievement with publications in the top journals of their respective fields, and a commitment to teaching and student mentoring. Candidates must have a good command of English and excellent communication and interpersonal skills.

Who we are… Verdantix’s mission is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their most important goals. The role… The Senior Analyst will undertake strategic research covering how AI is applied in practice in enterprises; analysis of major and emerging AI market trends; and technical reviews of vendor offerings and AI concepts. Success in the role requires a strong interest and knowledge of the world of AI in a business context, its use cases, key developments and releases (e.g. MCP, A2A protocol, GPT-5), and the major AI and agent platforms operating in this space. The candidate’s knowledge should extend to a technical understand of how AI and LLMs work, best practices for their implementation and the wider technology ecosystem needed for their operation. The successful candidate will have the ambition to undertake a wide range of qualitative and quantitative research, write high quality written reports, keep up to date with the latest AI news and present research findings to client executives. Our analysts benefit from our structured ‘Analyst Training Framework’ which offers tailored learning which will equip high performers to progress their careers further at Verdantix. Salary opportunity is £55K - £60K, depending on experience level, plus a very competitive quarterly bonus scheme. This is a hybrid role which requires 3 days a week in the office during probationary period, and will decrease to 2 days upon successful completion. Note: This role does not require coding or creation of AI-first products as a significant scope of work. Technical knowledge will support the assessment and differentiation of vendor AI products, AI product enhancement conversations with technical product personas and discussion on the impact of AI developments. What you’ll be doing… • Conducting market research based on the established portfolio of Verdantix methodologies., • Undertaking research interviews and conversations with individuals in leading roles in the AI industry., • Efficiently writing high-quality research documents in English., • Producing reports on technology vendors and market news based on briefings., • Working on consulting projects relating to AI, industrial technologies and enterprise technology strategies., • Develop strong client relationships with individuals in leading roles in the AI industry., • Attending industry events and speaking engagements to help raise the profile of Verdantix in the market., • Developing trusted relationships with Verdantix clients and senior industry decision makers., • Supporting marketing efforts by writing blogs and engaging in social media activities. About you… • Experience working in a software firm, technology analyst firm, market research firm or consulting firm, • Educated to degree level with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD, • Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.), • Experience in conducting research interviews and contributing to the development of research reports, • Proven ability to quickly write high quality reports for a business audience., • Quantitative skills and knowledge of Excel to manipulate large data sets and apply mathematical concepts., • Experience in interviewing senior individuals across product, marketing and other role types to collect business or strategic information., • Demonstrable passion for AI, stays informed on market developments and emerging technologies., • Proactive in identifying hot research topics, commercial opportunities and internal improvements that advance the research function., • Naturally curious, with a strong appetite for understanding technical nuances — especially how AI-first products are differentiated., • Communicates with clarity and precision, both in writing and verbally; can challenge assumptions constructively and back up opinions with logic., • Self-directed and accountable — does not wait for permission to explore high-value questions or conduct work activities. Additional benefits we offer… • Competitive salary (with annual review), • Performance-driven quarterly bonus scheme, • Pension with enhanced employer contribution, • Generous holiday entitlement, accruing an extra day with every year worked (local capping applies), • Quarterly employee recognition scheme, • Hybrid working option, with the aim of promoting flexibility and work-life balance, • Private medical insurance, including online GP service, mental health support and discounted gym memberships, • Enhanced family-friendly benefits, • Weekly ‘flexi-hour’ to extend a lunch break or finish early on your day of choice, • Cycle to work scheme - tax-efficient purchase of a bike, bike accessories, or both, • Time off for volunteering when done through our partner OnHand: an app for local volunteering and climate action, • Multiple social events throughout the year, including Company Ramble & Sports Day, • Strong focus on learning and development with career plans for all employees, • Dog-friendly office, • Fantastic colleagues with a great sense of humour! Why Verdantix... Since our foundation in 2008, we have been built our company around five values. They encapsulate what we stand for, the way we do business and the impact we have on the communities we serve. • Independence, • Accuracy, • Confidentiality, • Curiosity, • Sustainability At Verdantix, we believe innovation and technology have the power to transform how organizations approach their biggest challenges. We are a diverse collective, united by intellectual curiosity and a desire to solve complex challenges with inquisitiveness, rigour, accuracy and unparalleled expertise. We work as one team across research, commercial, and operational functions, valuing impact over hierarchy and transparency over silos. Every team member contributes to the growth of Verdantix, and we make it a priority to include everyone in shaping big decisions, from growth strategies to new product launches. We’re looking for people who are motivated by challenge, energized by collaboration, and who don’t take themselves too seriously - a sense of humour goes a long way here. If you’re excited to join a growing team where your skills and ideas will make a real difference, we’d love to hear from you. Verdantix is a winner of ‘The 2021 Queen’s Award for Enterprise in the International Trade’ category. The Queen’s Awards for Enterprise are the most prestigious awards in the United Kingdom. Verdantix won the Queen’s Award due to its sustained growth in international trade over the last three years – including through the pandemic. This rapid, consistent growth reflects demand for the high-quality research and advisory services that Verdantix provides to clients in seventeen countries. Verdantix is an equal opportunities employer and is committed to providing a work environment that is free from all forms of discrimination. We want our recruitment process to reflect that. Please tell your recruitment partner directly if there’s anything you need to make our interview process more accessible.

Overview GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role/Project Overview GSK has an inspiring ambition: by uniting science, technology and talent we aim to positively impact the health of 2.5 billion people over the next ten years. We will get ahead of disease together with our R&D approach of focusing on the science of the immune system, human genetics and advanced technologies, such as functional genomics and AI/ML. Transformation Operations are key matrix partners helping the organization to deliver strategic programmes that will drive the achievement of this exciting ambition. The goal is to accelerate and embed strategic change by combining our knowledge, network and thriving people to unlock value across the business. The Project Manager will provide strong project management support to the delivery of complex priority R&D transformation programs, including major integrations, step-changes in R&D productivity, digital/tech implementations, operating model and organizational/cultural changes. As part of this the Project Manager may be required to collaborate with other project and change managers as part of a broader project team. The role will involve managing successful project delivery within scope, budget and schedule to realise agreed organizational outcomes and benefits. As part of this they will need to be adept at implementing and operating strong project governance and associated project management controls / processes. They will also be expected to manage the closure and transition of the project to BAU in a controlled manner. The Project Manager may also be required to play a supporting role in helping the Transformation Lead in the upfront shaping of the program approach/structure prior to supporting delivery. This role may also contribute to the ongoing strengthening of Transformation Operations capabilities and culture by supporting internal initiatives. Key Responsibilities • Provides project management support for priority R&D enterprise transformation programmes, with or without the support of additional internal or external project managers (i.e. hands-on role). May be required to support Transformation Lead in shaping the programme approach/structures prior to project managing delivery., • Builds and manages relationships with project business lead, key stakeholders and external resources (as agreed with Transformation Lead who is overall accountable)., • Develops and maintains comprehensive project plans and associated details including scope, objectives, deliverables, timelines, resources and budgets., • Ensures successful delivery of the project through the lifecycle by facilitating project delivery team meetings, effective stakeholder engagement and decision-making processes., • Effectively tracks and reports on project progress, risks, issues and KPIs/benefits. Proactively manages project team delivery / inputs and stakeholder expectations, ensuring ongoing alignment on project scope/objectives and outcomes/benefits. Ensures communications are clear, concise and engaging., • Proactively identifies and assesses project risks, dependencies and issues. Facilitates the development and tracking of effective mitigation plans to minimise impacts on project delivery/success., • Monitors resource capacity/requirements, identifying adjustments as necessary to maintain efficiency and effectiveness of delivery., • Contributes to a collaborative and productive project team environment, ensuring effective communication and coordination among team members and stakeholders., • Manages the development of project documentation / information and storage. Leverages most applicable digital tools to support efficient project ways of working (e.g. Smartsheet, MS Sharepoint/Teams)., • Operates effective quality management processes to ensure that project deliverables meet the necessary quality standards and success criteria. Conducts/facilitates periodic project reviews / health checks to assess project performance and compliance. Manages implementation of corrective actions and continuous improvement initiatives to optimize project processes and outcomes., • Manages effective project closure and transition to BAU in a controlled manner., • Pragmatically leverages and tailors use of the transformation framework depending on the specific contextual needs of the project and stakeholders., • Contributes to internal initiatives to evolve and support ongoing strengthening of project management capabilities/skills and internal processes/culture Requirements Experience • Played a key role in providing project management support to the delivery of complex transformation programmes which have delivered tangible business value. Min 5-7 years experience in project management roles., • Experience working across organisational boundaries in global companies (via industry or consulting roles)., • Experience working on a breadth of types of transformation e.g. operating model, process improvement, digital/tech implementation, cultural change., • Track record of collaborating and interacting with leaders at multiple levels across businesses and geographies., • Demonstrated ability to provide effective project management support within project delivery teams in a matrix management environment to drive well-coordinated and high-quality work, managing multiple initiatives simultaneously., • Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels., • Experience and knowledge of the pharmaceutical industry. Competencies • Expertise in programme/project management (PPM certification such as PMP, MSP, PRINCE2 etc preferred). Working knowledge of other transformation disciplines (e.g. change management, process optimisation, agile ways of working etc) also beneficial., • Ability and agility to tailor approaches / methods pragmatically to the transformation context at hand, ensuring efficiency in delivery and an ongoing focus on value delivery (and to do so across multiple projects if required)., • High learning agility / consulting mindset - able to apply problem-solving approaches to unfamiliar areas or challenges and navigate ambiguity., • Strong business relationship building skills; can confidently partner with leaders (typically up to VP level), navigate multiple stakeholders / competing perspectives and deal with complexity, ambiguity and/or shifting context., • Strong written and verbal communication skills; excellent listener; skilled at tailoring messages to appropriate audience. Able to clearly communicate the approach/structure being applied., • Strong empathy skills, EQ and situational awareness; understands the impact of change on people., • Ability to recognise down / upstream impacts of activities / decisions on business functions and identify solutions to respond in a holistic way., • Ability to make timely and logical decisions with regards to escalations and can create a plan to overcome obstacles., • Able and willing to challenge thinking in the right way and be a thought partner., • A team player and able to work collaboratively with others. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today.

Job Description About Us MediaTek is a key player in the semiconductor industry, with more than 40 offices worldwide. MediaTek Research is our dedicated research lab at the forefront of artificial intelligence. We focus on fundamental AI research aimed at advancing the broader scientific community, as well as applied AI research with potential impact on chip design and communication systems. We are committed to open science and regularly publish in top conferences such as NeurIPS, ICML, ICLR, and ACL. About The Internship We are seeking highly motivated and talented PhD students to join our AI research team for a 3–6 month internship. This is an opportunity to contribute to cutting-edge projects alongside experienced researchers and engineers, while gaining real-world research experience in a collaborative environment. The internship is ideal for individuals who are curious, self-motivated, and excited to work at the intersection of theory and application. Interns are encouraged to explore bold ideas, contribute to meaningful research, and take ownership of their work. Our team operates in two main directions: one focused on applying AI to the design and optimization of semiconductors and communication systems, and the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- • Contribute to ongoing research in machine learning and artificial intelligence, • Help develop and implement algorithms, • Collaborate with researchers and engineers to explore and evaluate new ideas, • Assist in preparing publications and technical reports, • Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field, • Strong interest in research and a background in machine learning or a related area, • Experience with programming languages such as Python, C++, or similar, • Strong problem-solving skills and ability to work independently and collaboratively, • Experience in optimization, reinforcement learning, and/or large language models (LLMs), • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX), • Gain hands-on experience in state-of-the-art AI research with real-world applications, • Collaborate with a team of world-class researchers and engineers, • Contribute to open-source efforts and scientific publications, • Work with and learn from leading academic and industry experts, • Hybrid work arrangement

At Insurwave, we are looking for remarkable people who thrive on making an exceptional contribution. We now have an exciting opportunity for a Data Scientist to play a key role in our Data and AI team. If making a difference gets you out of bed in the morning, then this could be the perfect opportunity and the start of something incredible! What will you be doing? As a Mid-Level Data Scientist, you will play a critical role within a multidisciplinary team of data scientists, analysts, and domain experts, developing advanced AI and analytics solutions for the Insurwave platform. This self-sufficient team is responsible for the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities • Design, build, and deploy machine learning models that meet defined performance and business requirements, • Develop production-ready data science solutions and maintain high-quality, testable code using modern development practices, • Build and maintain APIs, data pipelines, and automated workflows to support model deployment, monitoring, and lifecycle management, • Analyse large and complex datasets, applying statistical and machine learning techniques to solve real-world business problems, • Monitor model performance in production, investigate failure cases or drift, and recommend iterative improvements, • Track and report key performance and operational metrics, • Contribute to best practices in version control, testing, CI/CD, and MLOps, • Share expertise through peer code reviews, documentation, and collaborative learning initiatives, • Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate the core skills for the role, although more importantly if you don’t quite have all the skills, you have a passion and willingness for learning. Here’s what the teams will be looking for: • 3–5 years of professional experience in data science ML, or applied AI role, • Strong problem-solving and analytical skills with the ability to approach complex technical challenges independently, • Proven experience in building, deploying, and maintaining ML models in production (cloud-based environments preferred), • Solid understanding of core machine learning concepts, algorithms, and evaluation metrics, • Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs, • Strong Python programming skills to write clean, modular code and experience with core data science libraries, • Familiarity with software development workflows, including Git, code reviews, and unit testing, • Comfortable working with both structured and unstructured data; experience writing with SQL queries To be a successful Insurwaver, your attitude is as important. Insurwavers, like to Think Big, building with ambition, they put Client’s experience first and are incredible Team Players, who have each other's back. These are our Values which drive our Culture, personified by our Leadership Team and is key to what we are looking for in you. Interview steps • Preliminary phone call with the Talent Team(no video required), • First video interview with our People Experience Manager, • Final interview with the hiring panel,, • Don’t be alarmed if there are other stages in the process, such as technical code tests, it’s all part of the plan for some of our roles. What is Insurwave? Insurwave is a disruptive Insurtech company leveraging the power of AI to consolidate and visualise data, helping clients to understand risk and make smarter risk transfer and insurance decisions. Our platform offers an integrated insurance management experience, from ai-driven data ingestion through to collecting and consolidating risk data providing insight on business exposure changes in real-time. What’s in it for me? You’ll be part of a supportive team, working in a Values led culture, doing the exciting work that you thrive on, making a real difference and having the impact you know you can have. As well as incredible job satisfaction, you’ll also get: • Lots of Holidays !: 25 days annual leave | 8 Bank Holidays, • More than a competitive salary: Private Health Care - Critical Illness Insurance - Life Insurance - 5% pension plan matching - cycle to work scheme - weekly online Yoga sessions, • Great work-life balance - Flexible working options, • A commitment to learning & development opportunities to support you in realising your potential Altogether this makes Insurwave a fabulous place to work with incredible, friendly and supportive people!

Do you want to build models that actually get used in the real world? Have you ever applied your maths to beat complex, high-stakes prediction problems? Are you ready to join a high-performing team trading in global sports markets? Join a City-based investment firm using advanced statistics and data science to model sporting outcomes. With a lean team and flat structure, you’ll own your work end-to-end — from research through to production — in an environment that values rigour, creativity, and impact. This is a chance to work directly with traders and researchers in a collaborative, non-corporate setup where your code and ideas will shape the future of their trading strategies. The Role • Build predictive models for sports outcomes (e.g. football, cricket, tennis), • Analyse real-world data using advanced stats and probabilistic reasoning, • Work cross-functionally with trading and software teams, • Deploy models that directly inform trading decisions globally What They're Looking For • MSc or PhD in a quantitative/STEM field (Maths, Stats, Physics, Engineering), • 5–10 years’ experience in data/quant-focused roles, • Strong coding in Python (R and MATLAB welcome; C# desirable), • Solid understanding of statistics and probability, • Professional experience working with messy, real-world datasets, • Interest in sports (trading background not required) Key Details • Salary: £70,000 – £130,000 + bonus (10–20%, paid twice yearly), • Location: Central London – 5 days onsite, • Visa: Sponsorship available, • Benefits: Health insurance, pension, gym access during working hours, team outings, flat structure, high autonomy Interested? Please apply below.

Lead Data Scientist £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Data Scientist to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

Series A BioTech | £11M Raised | Precision Medicine & Proteomics 💰 Salary: £60,000 – £80,000 + Equity Options About the Company We’re partnered with a Series A BioTech startup that has recently raised £11M to accelerate the development of its breakthrough proteomics platform. By integrating proprietary technology with advanced mass spectrometry and computational analytics, the company is pioneering a new era of biomarker discovery — delivering diagnostic, prognostic, and treatment insights that enable precision medicine at scale. Their platform is already being applied in clinical trials and drug discovery programs across neurodegeneration, oncology, and metabolic disease. Backed by leading venture funds and advisors from world-class academic institutions, they’re building a science-first, data-driven culture dedicated to transforming patient outcomes. The Role As a Senior Bioinformatician, you’ll be at the centre of the company’s data and discovery efforts — analysing, visualising, and interpreting complex proteomics datasets to uncover insights that drive both internal R&D and external collaborations. Reporting directly to the CSO, you’ll develop and automate analytical workflows, build statistical models linking proteomic data to biological and clinical outcomes, and play a key role in scaling the company’s computational capabilities as it grows. This role is ideal for a bioinformatician who wants to combine deep technical expertise with strategic impact — helping shape the future of data-driven biotech. Key Responsibilities • Analyse, visualise, and interpret large-scale proteomics datasets from LC-MS platforms (DIA, DDA, TMT, MRM)., • Apply statistical and machine learning methods (PCA, PLS-DA, regression models, volcano plots) to extract actionable insights., • Build models linking proteomic data to clinical and phenotypic outcomes., • Integrate experimental data with public databases to identify novel biomarkers and biological pathways., • Produce publication-quality reports, figures, and visualisations for internal teams, collaborators, and publications., • Automate and streamline data processing workflows (Python, R)., • Collaborate cross-functionally with wet-lab scientists, leadership, and pharma partners to ensure timely project delivery., • Communicate findings clearly to both technical and non-technical audiences. Why Join? 🌍 Scientific Impact – Your work will directly accelerate drug development and enable more personalised therapies. 📈 Career Growth – As a Series A company, responsibilities and opportunities will grow fast alongside the business. ⚙️ Autonomy & Ownership – You’ll help define the bioinformatics strategy and shape how data drives decisions. 🤝 Collaborative Culture – Work in a dynamic, science-driven environment with global partners and minimal bureaucracy. 💡 Rewards – Competitive salary, meaningful equity, and flexibility (remote/hybrid). Qualifications & Experience • PhD (or equivalent) in Bioinformatics, Computational Biology, Biostatistics, or a related field., • Strong experience in proteomics data analysis and visualisation., • Proven ability in statistical modelling and handling complex biological datasets., • Skilled in Python or R for data analysis and workflow automation., • Strong communicator — capable of presenting complex insights to non-technical audiences. Preferred Qualities • Thrives in a fast-paced, collaborative startup environment., • Excellent organisational and project management skills., • Creative problem-solver with a passion for data-driven discovery., • Motivated by meaningful science and improving human health. If this sounds like you, you'll fit right in. To Note: We regularly share career opportunities, company news, and insights on our LinkedIn page — feel free to follow us and stay in the loop.

STA2122 Introduction to Applied Statistics is a 3-credit course in the Statistics Department aimed at humanities and social science majors with ‘a minimal background in mathematics’. Florida State University in London seeking Instructor in Statistics. Florida State University seeks an instructor

RC317 - Head of Applied Data Science & Strategy. Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI). Get notified about new Head of Data Science jobs in.

Your work will directly influence our commercial strategy and drive the success of both client deliverables and wider business objectives. We are looking for someone with a collaborative and results-oriented approach, capable of identifying new opportunities and leading the design and delivery of co

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, o

Our Marketing Effectiveness team helps ASOS provide the best shopping experience to millions of customers, using techniques such as incrementality testing and media mix modelling to understand, measure and optimise marketing spend. The role sits within the Applied Science domain, which is responsibl

We’re looking for a Senior Applied Scientist to join our Applied Science team in a high-impact individual contributor role.You’ll help drive the end-to-end lifecycle of projects — from identifying opportunities in literature, through proof-of-concept, to production deployment.You’ll convert

UTA seeks a Senior Vice President of Applied Science and Technology. Collaborate with other senior leaders globally to ensure cohesive execution of technology initiatives impacting EMEA.

Senior Applied Scientist, Logistics Network, Japan Transportation BITES (Business Intelligence in Tecnology of Engineesing & Science). Business Insight導出用のData Pipeline・Dashboardソリューションの提供. Business Impactも従来のプロジェクトにくらべ非常に大きくな��

This varied role will see you shaping the strategy of our Behavioural Risk team, focussing on driving the adoption of empirical scientific research methods within the team and across Internal Audit.As well as recruiting, developing, and leading a team of specialists, you’ll build internal and exte

We are looking for a ML Scientist II to join the Private Label Solutions (PLS) Machine Learning Science. This applied scientist role will join our ML team at Expedia Group. This role requires an individual that has a solid foundation in machine learning and engineering, is passionate about driving m

Sign in to set job alerts for “Frontend Developer” roles. You’ll play a key role in shaping the user experience of innovative software solutions, working closely with backend developers and data scientists to bring complex ideas to life. Provide direction and mentoring to more junior frontend

Hire, grow, and develop excellent scientific and analytic talents within the BRP Payment Risk team.

At UnlikelyAI, we’re looking for a visionary Staff Applied Scientist to play a key leadership role in our Applied Science team and across the company.This is a high-impact individual contributor position with mentoring and coaching responsibilities — ideal for someone who combines technical dept

We are a part of Amazon Alexa Devices organization with the mission “delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden”.We are developing an advanced system using Large Language Model (LLM) t

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, o

Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with classical symbolic technology to produce hallucination-resistant artificial intelligence for high-trust applications.

At UnlikelyAI, we’re looking for a Senior Applied Scientist to join our Applied Science team.This is a high-impact individual contributor position.You’ll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world product

Backend Junior Software Engineer - Remote 4 days a week (Europe). Sign in to set job alerts for “Software Engineer” roles. Proven experience of delivering design, development, testing, and deployment of software solutions and holistic understanding of the software development process, from desig

We are looking for an experienced applied data scientist who can combine exceptional technical skills with strategic foresight and the ability to partner effectively with business and technical teams. Are you passionate about Data Science and Artificial Intelligence? Do you thrive at the intersectio

We are seeking dynamic and knowledgeable hourly paid Associate Lecturers to join our School of Computing and Digital Media at London Metropolitan University. Rate of Pay: Associate Lecturer Rate A (£54. All applicants are additionally asked to submit an equality and diversity statement of up to one

Bridge the gap between physics-based risk modelling and applied machine learning. Lead and scale a team of ML Engineers, providing coaching, mentorship, and technical direction. Collaborate with Product, Science, and Engineering stakeholders to translate complex technical ideas into customer-facing

As a Senior Principal Data Scientist in the Advanced Quantitative Scientists group you will be responsible for the discussion and implementation of data science and high-dimensional modelling methodologies applied to patient-level data (including various biomarker, clinical and outcomes data) across

As our Managing Director, you'll be our gateway to the world: an experienced navigator of large organisations and a champion for the value of applied behavioural science.

To be successful as the Applied Science Laboratory Assistant you will need to have an investigative mind and keen to have a career in science. London South Bank University are excited to be recruiting for the post of Applied Science Laboratory Assistant. Practical experience of preparing solutions f

As an Applied Scientist Manager in the Science department in the On-Road Innovation team, you will play a pivotal role at the intersection of technical contribution and team development. You’ll help scale both science and people, driving forward new capabilities in autonomy while enabling others t

You will join the Entrust Applied Science team as a research intern. We develop machine learning and computer vision models for the Onfido product lines, in particular fraud detection and data extraction on government IDs and biometrics data. You will work on unique, large-scale image and video data

Applied expertise in human factors, behavioural science, or ergonomics related to technology adoption.