Data science jobs in CambridgeCrear alertas

Socode are supporting a Cambridge-based battery technology company who are looking to hire a Laboratory Technician to support their battery testing and development work. This is a hands-on lab role. You’ll be assembling and testing coin cells, running experiments, and generating data that feeds directly into engineering decisions. The work is practical, on site, and closely tied to day-to-day R&D activity. This role suits someone who is comfortable working in a laboratory environment, follows procedures properly, and prefers being close to the equipment rather than managing from a distance. What you’ll be doing • Assembling and testing coin cells, • Running battery and electrochemical tests, • Following and contributing to test procedures, • Recording, analysing, and reporting test data, • Maintaining lab equipment and test setups, • Writing and updating laboratory SOPs, • Supporting engineers with lab-based testing, • Ensuring lab safety procedures are followed What they’re looking for • Hands-on laboratory experience (industrial or academic), • Experience with battery testing, cell assembly, or electrochemistry, • Degree in materials science, chemistry, engineering, or similar, • Experience working to test procedures and SOPs, • Comfortable handling experimental data and documentation, • Practical, organised, and reliable in a lab setting

Compiler Engineer - GPU / Semiconductors We are currently partnered with an industry leading semiconductor company looking to expand their headcount with an experienced GPU Compiler Engineer to work on their next generation GPU cores. You will collaborate with cross-functional teams to ensure GPU cores exceed performance targets for next-generation mobile and data processing platforms. This is a permanent position based in Cambridge - please note this is a fully onsite role. Key responsibilities for this Compiler Engineer position: • Architect and optimize GPU cores for peak performance and power efficiency., • Develop high-performance GPU compiler software and drivers to support cutting-edge graphics products., • Build functional model simulations and develop graphics tests to verify architectural correctness., • Program and run graphics tests to identify bottlenecks and ensure power/performance (PPA) goals are met., • Create detailed feature descriptions and technical guides for internal and external stakeholders. Key requirements: • Master’s or PhD in Computer Science, Computer Engineering, or Electrical Engineering., • 5+ years of relevant GPU experience, specifically in hardware/software co-design., • Deep understanding of GPU architectures and graphics pipelines., • Experience in compiler development or graphics driver software. Keywords: GPU Engineer / Compiler Engineer / Graphics Driver / GPU Architecture / Performance Optimization / PPA / Modeling / Simulation / C++ / Semiconductor / Cambridge / Computer Graphics If you are interested in this Compiler Engineer position, please send a CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ___

Front End Engineer / Developer (React TypeScript Data Visualisation) Cambridge / WFH to £80k Are you a technologist looking for an opportunity to work on complex and interesting systems at the cutting edge of technology? You could be progressing your career in a senior, hands-on role, working on real-world problems within a highly successful and scaling SaaS tech company. What's in it for you: • Competitive salary - to £80k, • Private Health Care, • Life Assurance, • Upto 6% employer pension contribution, • 25 days holiday Your role: As a Senior Front End Engineer you'll contribute to the core product, an AI and Machine Learning platform that is used within the automotive sector for a range of purposes e.g. engine calibration. You'll work across the full development lifecycle, designing and developing high quality user interfaces using JavaScript / TypeScript and React, collaborating with UI/UX Designers to display complex data visualisations in a clear and user to use format that delights customers. This is an expanding area for the business, there's lots of new projects and you'll be an integral part of the team. Location / WFH: You can work from home most of the time, meeting up with the team once a month in Cambridge. About you: • You have strong TypeScript and React skills, • You have experience with UI data visualisation and relevant tools e.g. D3.js, • You have experience of working on SaaS products, • You have experience of translating Figma based design prototypes and are comfortable working with Designers, • You have full development lifecycle experience including test automation, • You have a good knowledge of software engineering best practices and Computer Science fundamentals such as OOP, Data Structures, Design Patterns, • You're collaborative with great communication skills and Agile team experience, • You're keen to work in a start-up / scale-up environment, • You are degree educated, 2.1 or above in Computer Science or similar technical discipline Apply now to find out more about this Senior Front End Engineer / Developer (React TypeScript Data Visualisation) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Machine Learning Research Engineer - NLP / LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office / 2 days remote Salary: Highly competitive salary + comprehensive benefits Requirements for Machine Learning Research Engineer • You will have a Ph.D from a world-leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP), • Experience weighted more towards classic machine learning than AI Engineering, • Strong knowledge in LLMs, NLP and Machine Learning / AI, • Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level, • Published papers, • Good understanding of software engineering concepts, • Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn, • Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer • Join a team responsible for investigating the latest research in machine learning algorithms – largely within the NLP field along with some computer vision, • Make suggestions based on the feasibility of research to help shape future projects and products, • Prototyping research concepts, • Determining output quality, efficiency, and feasibility compared with other techniques What this offers • Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates, • Highly interesting work researching the next phases of cutting-edge, machine-learning software, • A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). Keywords: Python/ Deep Learning / Machine Learning / NLP / Natural Language Processing / Computer Vision / Research / Post-Doc / Ph.D. / DPhil / Computer Science / Mathematics / Physics / Engineering/ Text Analytics / Speech processing / Software Engineer / Research / Researching / Journals / AI / Artificial Intelligence / Machine Vision / Neural Networks / Developer / Algorithm RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning sound into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing models that run efficiently on constrained devices, working closely with the CTO on design, optimisation, and deployment. This is a hands-on technical role that offers full exposure to the early-stage startup experience — from prototyping and experimentation to strategic product decisions. Key Responsibilities • Develop, optimise, and deploy machine learning models for on-device health monitoring., • Experiment with architectures and apply techniques such as quantisation, pruning, and compression to improve efficiency., • Collaborate with cross-functional teams to take research prototypes into production-ready systems., • Contribute to broader technical and product discussions, including data collection, validation, and feature development., • Take ownership of projects, working autonomously while supporting the wider engineering team. What We’re Looking For • Ph.D. or Master’s degree in Computer Science, Machine Learning, Information or Biomedical Engineering (or similar)., • Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development., • Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM., • Solid understanding of model optimisation for constrained hardware environments., • Ability to write clean, maintainable, and well-tested code in a collaborative setting., • Curiosity, adaptability, and enthusiasm for working in a fast-paced, early-stage environment., • Experience working with time-series data such as audio or biosignals., • Background in biomedical or signal processing., • Experience writing production-level code or integrating models with embedded systems., • Previous startup experience or exposure to medical device development.

We're looking for someone to take significant ownership across the stack of our Python/JS applications (patient and internally-facing). What You'll Do We're still small, so everyone works across our stack of Python, Typescript and Rust. You'll work on a growing SolidJS/Django/Postgres application, and help us make technology choices going forwards. We work cross-discipline with our clinical product and regulatory colleagues to make sure we're building the right thing for our users. You'll work with company leadership to make strategic decisions, have direct contact with patients your work helps, and invent things to solve problems we haven't yet spotted. Help us shape the way the software team works as we grow, maturing our processes and mentoring new hires. About You • You've built consumer applications across the static/SPA design spectrum, from server-side traditional MVC apps to fully client-side JS apps, • You enjoy working with design and product teams to help shape the product you're building, • You can write Vanilla Javascript but prefer Typescript (or another compiles-to-JS language) for production use, • You've worked in modern Python codebases for large production applications, • You care about your users—you bias towards building the right thing, before building the thing right Bonus Points We don't expect you to have all of these, but be sure to mention any that you do! • Experience with software medical device development (or other regulated industries), • iOS/Android mobile application development (native or otherwise), • Able to design UIs (e.g. in Figma) for a great patient experience, • Experience working in a startup, • Worked with WebRTC or other real-time technologies, • Built DSLs/compilers What We Offer • Interesting and challenging work, • In-person working from a beautiful work space in the Cambridgeshire countryside, • An onsite gym, • A digital health subscription of your choice, • Early stage equity with employee-friendly terms (via an EMI scheme), • Comprehensive medical coverage (including dental and optical) and life insurance, • Optional remote working on Wednesdays, with an annual allowance of 10 extra remote days, • Desk setup allowance for your favourite keyboard / mouse / whatever!, • Regular pulse-checks to help us build a culture we're proud of, • Monthly team BBQs and desserts on Flok, • A fast paced work environment geared towards excellence and professional growth (with annual training budget), • Top notch specialty tea and coffee, • A chance to have a big impact in a small early stage team making a difference to the lives of people across the UK About Flok More than a billion people a year suffer unnecessarily from conditions like back pain, where the right treatment approach is well-established but undeliverable at scale. We’re changing that. Our team has deep expertise across clinical, engineering and machine learning, has a track record of healthtech innovation, and is backed by top-tier VCs and multiple unicorn founder angels. If you like • Solving hard problems at the intersection of software & healthcare/data science, • The pursuit of excellence—helping each other to do the best work of our careers, • Working in an in-person collaborative environment

Job Title: OS Performance Expert Job Type: Permanent Location: Cambridge, United Kingdom Our client are an international semiconductor company. As a Senior OS Performance Expert, you will play a crucial role in optimizing the performance of our new mobile operating systems OS. Responsibilities: Enhancing OS System Performance: • Conduct in-depth research on runtime resource management and control policies., • Investigate kernel task scheduling and SOC frequency modulation mechanisms., • Analyse and collaborate between software/hardware co-design., • Identify and address Operating system performance bottlenecks., • Design and implement solutions to ensure smooth and superior product performance. Researching OS Application Architecture: • Build the competitiveness of key technologies in OS applications., • Improve application interaction and dynamic user experience., • Design and optimize high-performance core modules., • Solve key technical problems in application architecture., • Gain insights into industry trends and research OS application technologies., • Develop high-performance APIs and development paradigms for OS applications., • Ensure applications are easy to develop and provide a smooth user experience. Technical Requirements: • Master's degree in a field relevant to computer systems, including but not limited to Computer Science, Computer Engineering, and Electrical Engineering., • Understanding of data structures and algorithms., • Proficiency in one or more programming languages (e.g., JAVA, C++, Python, JS, HTML, JavaScript, GO), • Extensive experience in engineering roles specializing in operating system performance optimization, systems optimization, or related areas. Desirables: • Experience in developing mobile application software, Internet software or iOS/Android operating systems, • Familiarity with front-end development technologies including but not limited to JavaScript frameworks (e.g., React, Angular, Vue.js), HTML5, CSS, • Knowledge of operating system principles and experience in system architecture, performance, and power consumption optimization., • Experience in publishing academic papers in related fields., • Experience in publishing papers in international conferences or journals. If you’re interested please reach out to to hear more.

We are partnered with a leading semicon and wireless company who are hiring talented engineers to help design and deliver high-performance, power-efficient GPU solutions for next-generation products. This role requires 5 days per week onsite in Cambridge. What You’ll Do • Contribute to the architecture, design, implementation, and optimization of GPU cores with a focus on performance and power efficiency, • Develop functional models, software, and simulations to validate GPU features and ensure correctness, • Create, run, and analyze graphics and compute tests to assess functionality, performance, and power behavior, • Identify, debug, and resolve performance or functional issues across the GPU software and hardware interface, • Collaborate with internal teams, partners, and external stakeholders to guide implementation and align with product requirements, • Develop and maintain driver and compiler software that supports GPU products, • Produce clear technical documentation and feature descriptions to support internal teams and end users What We’re Looking For • Master’s degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field, • 5+ years of relevant GPU experience across architecture, software, or performance engineering, • Strong understanding of GPU performance and power trade-offs, • Experience working with GPU software stacks, including drivers, compilers, or functional models, • Ability to work effectively in cross-functional, collaborative engineering environments By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ___

Job Title: Graduate AI Engineer Location: Cambridge, UK (Hybrid/On-site) Salary: £35,000 – £40,000 per annum Job Type: Full-time, Permanent About The Role We are looking for a talented and motivated Graduate AI Engineer to join our growing engineering team in Cambridge. This is an excellent opportunity for a recent graduate to work on real-world AI and machine learning problems, contributing to the design, development, and deployment of intelligent systems in a collaborative, fast-paced environment. You will work closely with experienced engineers, data scientists, and product teams to build scalable AI-driven solutions while developing your technical and professional skills. Key Responsibilities • Design, develop, and implement machine learning and AI models, • Assist in data preparation, feature engineering, and model evaluation, • Write clean, maintainable, and well-documented code, • Deploy and monitor models in production environments, • Collaborate with cross-functional teams to translate business problems into technical solutions, • Stay up to date with the latest AI/ML research, tools, and best practices Required Skills & Qualifications • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field, • Strong programming skills in Python, • Understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation, overfitting, etc.), • Experience with common ML libraries such as PyTorch, TensorFlow, scikit-learn, or similar, • Solid foundation in data structures, algorithms, and software engineering principles, • Strong problem-solving skills and attention to detail, • Excellent communication skills and a willingness to learn Desirable (Nice to Have) • Experience with deep learning, NLP, or computer vision, • Familiarity with cloud platforms (AWS, GCP, or Azure), • Exposure to MLOps tools, CI/CD, or model deployment pipelines, • Experience working with large datasets or databases (SQL/NoSQL), • Internship or project experience applying AI in real-world scenarios What We Offer • Competitive salary of £35k–£40k depending on experience, • Mentorship and structured learning from experienced AI engineers, • Opportunities for rapid skill development and career progression, • Access to cutting-edge AI tools and research, • Flexible working arrangements, • Friendly, innovative team culture in the Cambridge tech ecosystem

GPU Compiler Engineer - Cambridge (onsite) - Must Already Live in the UK About the Role We are seeking a highly skilled GPU Compiler Engineer to help design and develop next-generation graphics and compute technologies. In this role, you will work on cutting-edge GPU architectures, developing compiler and driver software that enables high-performance, power-efficient graphics and compute workloads. Key Responsibilities • Architect, design, implement, and optimise GPU compiler and driver software, • Develop functional models and simulations to validate GPU behaviour, • Create and run graphics and compute tests to verify correctness, performance, and power efficiency, • Analyse and debug performance and functional issues across GPU software stacks, • Collaborate with internal teams, external partners, and third-party vendors, • Produce clear technical documentation and feature descriptions to support internal and external users Required Qualifications • Strong experience in GPU software development, graphics, or compiler engineering, • Proficiency in C/C++ and low-level systems programming, • Experience working with GPU architectures, graphics pipelines, or compute frameworks, • Solid understanding of performance optimisation and power efficiency Preferred Qualifications • Master’s degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, • 5+ years of experience working on GPU, graphics, or compiler-related technologies, • Experience with compiler frameworks (e.g., LLVM) or GPU programming models In accordance with local employment laws, applicants must have current, valid authorisation to work in Germany at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for the UK cannot be considered. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ()

Principal Computational Biologist (Systems Biologist) (Under the leadership of Alex Kalinka) Internally this is known as Principal Bioinformatician (Systems Biologist) £57,000 - £70,900 plus benefits (includes up to 12% pension contribution and income protection) Reports to: Group Leader - Quantitative Biology Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week Location: Cambridge, Babraham Research Campus, Biomedical Campus (Limited flexibility 3-4 days per week on site) Closing date: 25 January 2026 23:55 This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. Please let us know if there is anything about the recruitment process that you would like to discuss, in particular if there are any changes or adjustments that would make it easier for you to apply. Please contact or 020 3469 8400 as soon as possible. Visa sponsorship: Cancer Research UK can consider visa sponsorship for this vacancy. If this applies to you, please ensure that this is clearly marked on your application. Recruitment process: 1st stage interview via Microsoft Teams, 2nd stage will include a presentation followed by competency-based questions on-site Interview date: We will be booking in 1st stage interviews on an ongoing basis, 2nd stage in planned for 3 and 6 of February At Cancer Research UK, we exist to beat cancer. Cancer Research Horizons are looking to recruit a passionate scientific professional to set and drive our computational strategy for integrating cancer systems biology methodologies into our drug discovery pipeline to motivate key decisions arising in the target ID, target validation, and disease positioning spaces. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) bring new treatments to patients faster and 2) tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, Cancer Research Horizons employs ~200 staff from both industrial and academic backgrounds This is a new role for the team and real chance to make a tangible impact from day one. Utilise your expertise to support CRH in taking take a bigger, more holistic view of cancer. Build robust evidence packages and leverage cutting-edge systems-level predictive modelling to uncover the molecular pathways driving cancer development. You will become an integral part of the Cancer Research Horizon Drug Discovery team helping to progress novel cancer targets towards patient benefit. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers. What will I be doing? Our new strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of projects, from idea to pre-clinical Candidate. Reporting directly to the Leader of our Quantitative Biology team, we are looking for an experienced computational biologist to develop a systems level approach to understanding cancer molecular networks to underpin predictive modelling of patient response that moves beyond single-gene biomarkers. In this role you will take a mechanistic, causative approach to understanding how patient somatic mutations drive the development of cancer and work closely with functional genomics scientists to test novel hypotheses. In this role you will: • Set and drive our computational strategy for integrating cancer systems biology approaches to support key decisions relating to target ID, target validation, and disease positioning., • Develop a patient-data focused biomarker strategy underpinned by a systems level understanding of cancer molecular pathways., • Analyse patient genomic data to uncover key somatic driver mutations and integrate this information with molecular pathways to build a mechanistic understanding of cancer development., • Provide deep expertise in computational biology and its role in oncology drug discovery., • Foster a culture of continuous improvement for our computational and analytical approaches., • Provide scientific and strategic leadership in computational biology across CRH., • Communicate effectively to influence multiple stakeholders and collaborate across projects and sites, including externally., • PhD in bioinformatics, data science, or equivalent, • Experience within a drug discovery environment (i.e pharma, biotech or academic institute), • A strategic thinker with proven scientific leadership, including through matrix management, • Experienced in the use and development of cancer systems level predictive modelling to uncover the molecular pathways underpinning cancer development, • Experience of working with oncology patient datasets and using them to test and generate novel hypotheses, • Experience of integrating multi-omics datasets (genomic, transcriptomic, proteomic, metabolomic) to infer molecular pathways involved in driving cancer, • Experience of using machine learning and AI tools to support a systems level understanding of cancer, • Programming experience with tools such as Python, • Experience adhering to good coding hygiene practices such as documentation, testing, and code review, • Excellent communication skills, ability to describe complex science in an engaging and inclusive manner., • Ability to build open and honest relationships and influence multiple stakeholders. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.

Principal Computational Biologist (Portfolio Generation) (Under the leadership of Alex Kalinka) Internally this is known as Principal Bioinformatician (Portfolio Generation) £57,000 - £70,900 plus benefits Reports to: Group Leader - Quantitative Biology Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week Location: Cambridge, Babraham Research Campus, (Limited flexibility 3-4 days per week on site) Closing date: 25 January 2026 23:55 This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. Please let us know if there is anything about the recruitment process that you would like to discuss, in particular if there are any changes or adjustments that would make it easier for you to apply. Please contact or 020 3469 8400 as soon as possible. Visa sponsorship: Cancer Research UK can consider visa sponsorship for this vacancy. If this applies to you, please ensure that this is clearly marked on your application. Recruitment process: 1st stage interview via Microsoft Teams, 2nd stage will include a presentation followed by competency-based questions on-site Interview date: We will be booking in 1st stage interviews on an ongoing basis, 2nd stage in planned for 3 and 6 of February At Cancer Research UK, we exist to beat cancer. Cancer Research Horizons are looking to recruit a passionate scientific professional to set and drive our computational strategy for the discovery and validation of novel oncology targets, including through the analysis of patient data. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) bring new treatments to patients faster and 2) tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, Cancer Research Horizons employs ~200 staff from both industrial and academic backgrounds This is a new role for the team and real chance to make a tangible impact from day one. We are looking for candidates who can bring strong experience of AI and machine learning to unlock the power of real patient data. We're just scratching the surface, and now's your chance to lead the way. In In this role, you will become an integral part of the Cancer Research Horizon Drug Discovery team helping to progress novel cancer targets towards patient benefit. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers. What will I be doing? Our new strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of projects, from idea to pre-clinical Candidate. Reporting directly to the Leader of our Quantitative Biology team, we are looking for an experienced computational biologist to develop, evaluate, and apply both existing and novel machine learning and AI approaches to integrate multi-modal oncology datasets to generate novel testable hypotheses. As a Principal Computational Biologist, you will work closely with bench scientists, bioinformaticians, and statisticians to design functional genomics experiments to test computational predictions and support the analysis and interpretation of downstream validation experiment In this role you will: • Set and drive our computational strategy for the analysis of patient multi-omics datasets to discover novel oncology targets., • Evaluate, develop, and implement new and existing machine learning and AI approaches to uncover actionable biological insights from large multi-modal oncology datasets., • Provide deep expertise in computational biology and its role in oncology drug discovery., • Foster a culture of continuous improvement for our computational and analytical approaches., • Provide scientific and strategic leadership in computational biology across CRH., • Communicate effectively to influence multiple stakeholders and collaborate across projects and sites, including externally., • Promote scientific excellence, through external publication and presentations., • PhD in bioinformatics, data science, or equivalent, • Experience within a drug discovery environment specifically a pharma or biotech company, • Experienced in the use and development of machine learning and AI approaches for the integration and analysis of large multi-omics datasets, • A strategic thinker with proven scientific leadership, including through matrix management, • Programming experience with tools such as Python, • Experience adhering to good coding hygiene practices such as documentation, testing, and code review, • Excellent communication skills, ability to describe complex science in an engaging and inclusive manner., • Ability to build open and honest relationships and influence multiple stakeholders. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.

Compiler Engineer - GPU / GPU Architecture / Graphics / Performance Optimization We are partnered with a leading technology innovator who is pushing the boundaries of next generation computing experiences. They are looking for a GPU Compiler Engineer to work on advanced GPU cores, helping drive performance and power efficiency across cutting edge products. In this role, you will work closely with cross functional engineering teams to architect, design, implement, and optimize GPU compiler and software solutions that meet demanding customer and product requirements. You will be involved across the development lifecycle and have real influence on performance, power, and software design decisions. What You Will Be Doing: • Applying GPU knowledge to architect, design, implement, verify, and optimize GPU cores with a focus on performance and power, • Building functional model simulations and developing software to validate graphics functionality, performance, and power targets, • Programming and running graphics tests using industry tools and methodologies to identify functional, performance, and power issues, • Collaborating with internal teams, third party vendors, and external users to guide implementation and ensure alignment with technical and product goals, • Developing driver and compiler software to support GPU products, • Writing detailed technical documentation and feature descriptions to support GPU software usage and implementation What We Are Looking For: • Strong background in GPU architecture, graphics, or parallel computing, • Experience developing compiler and or driver software for GPU or graphics related products, • Solid understanding of performance and power optimization techniques, • Hands on experience with simulation, testing, and debugging of graphics or GPU systems, • Ability to collaborate effectively with cross functional engineering teams, • Master’s degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field, • 5+ years of relevant GPU industry experience Location Requirement This role requires 5 days per week onsite in our clients Cambridge office. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (___)

Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. This retrieves key data from your curr

PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Record of applications of data driven modeling methods and AI to synthetic biology. Senior Scientist I, Computational Biology: £75,000 - £117,500.

A leading AI and life-science organization is seeking a Medical Science Liaison to develop communication strategies based on clinical trial data and support AI research initiatives. This remote position offers competitive hourly compensation of $35–$75 and a flexible commitment between 10 and 40 h

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A leading global payment technology firm in the United Kingdom is seeking a Data Scientist Graduate to join their client-facing Data Science Lab team. This position will involve engaging with clients to drive data-driven business decisions.

A leading consultancy is looking for a Senior Data Scientist to enhance their service offerings by driving data science strategy and innovation. The successful candidate will develop data-driven solutions, lead projects, and mentor junior team members. This role demands exceptional communication and

Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Build databases and is responsible for the curation of Data, including experimental data management. Expe

A leading AI-focused company is seeking a Data Science Expert - AI Content Specialist to tackle complex language models and enhance model reasoning. You will design data science challenges and evaluate AI-generated outputs for accuracy. Ideal candidates should have an advanced degree in Data Science

A leading charity organization in London is seeking a Head of Data Science & Analytics to drive data-led decision-making. The role involves leading data teams, transitioning legacy systems to modern tech, and fostering a data culture within the organization. Ideal candidates should possess strong le

A non-profit organization is seeking unpaid volunteer Technology Officers (Data Scientists/DevOps/Full Stack) to support climate action initiatives. This remote role involves engaging in research and analysis, providing technical support for projects, and potentially developing valuable skills in da

A global professional services firm is seeking a Data & AI Science Consultant to join their dynamic team. Ideal candidates should have a strong background in data science, machine learning tools, and the ability to communicate effectively.

Salary: £130K – £170K + Equity.A venture-backed AI technology company is building production-grade intelligent systems used by large, complex organisations to automate high-stakes workflows.The platform focuses on reliability, scale, and safety, turning experimental AI capabilities into tools th

Accenture’s Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. Contribute data science expertise to new sales activities. The Data and AI revolution is changing everything.

Proven experience leading analytics or data science projects from conception to delivery. Collaborate closely with BI and Data Engineering teams to ensure reliable data foundations and scalable analytical solutions. Champion the use of data science across the organisation, embedding a culture of evi

The program includes full data science career training, certification through CompTIA Data+, and practical projects. For a cost of £1495, the program provides a clear pathway into the data science field with ongoing support and a full refund if no role is provided after training. A training organiz

A leading payment solutions company located in Greater London is seeking a Data Science Manager to oversee and mentor a high-performing team. Ideal candidates will have expertise in Python and SQL, with experience in complex data environments.

Translate complex data challenges into impactful, data‑driven solutions. We’re hiring for a Lead Data Scientist!. You will play a crucial role in applying cutting‑edge statistical methods to uncover insights and drive data‑informed decisions.

THE SENIOR DATA SCIENCE AND MACHINE LEARNING RESEARCHER ROLE:. SENIOR DATA SCIENCE AND MACHINE LEARNING RESEARCHER ESSENTIAL SKILLS:. Strong background in data science and machine learning research.

We are looking for an exceptional Data Science Manager to lead and grow our data science capability, driving the development, deployment, and optimisation of machine‑learning solutions that support Zilch’s mission to deliver responsible, real‑time and seamless credit experiences. Ensure Data S

A global cybersecurity education company is seeking a Product Data Analyst to shape data strategies using insightful analytics. This fully remote role offers ownership over data models and visualizations that influence product direction and business growth. Key qualifications include 2+ years of exp

A leading data science firm in Greater London is seeking a Senior Machine Learning Engineer to design and implement cutting-edge data science solutions.

A pioneering fintech company in Greater London is seeking a Data Science Manager to lead the development and optimization of machine learning solutions that enhance customer credit experiences. This leadership role requires collaboration with cross-functional teams and hands-on mentoring of data sci

We seek to appoint a Senior Lecturer in Data Science to join our dynamic team of academics and help shape the future of our computing and data-focused programmes. We are particularly keen to hear from applicants with expertise in areas such as statistical learning, machine learning, data analytics,

Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting‑edge techniques and deliver full‑stack data science projects, from solution design through to deployment. Experience of developing data engineering pipelines,

A leading professional services firm in Greater London is seeking a Data Science and Machine Learning Senior Manager to lead innovative analytics solutions in Audit and Assurance. The position requires extensive experience in managing data science projects, delivering complex AI/ML applications, and

A leading research university in Greater London is seeking a motivated Postdoctoral Research Associate in Genomic Data Science to join the Statistical Genomics team. The role involves developing computational tools for genomic analysis and contributing to research on genetic associations in health d

A leading biotechnology company is seeking a Data Scientist apprentice to support the Bioinformatics team in drug discovery through computational analysis of biological data. This position emphasizes valuable skills like time management and communication and includes part-time study for a fully fund

Hands‑on experience with Microsoft Fabric (OneLake, Lakehouse, Data Engineering/Data Science workloads). Reporting into the Manager of Global Enterprise Data & BI, you’ll be hands‑on designing cloud-native data architectures, modernising legacy pipelines, and mentoring a wider engineering team

As a Manager in the Data Science team, you will be at the forefront of data-driven initiatives. We are on the lookout for a dynamic and innovative Data Science Manager to lead a talented team of Data Scientists in London or Reading. Strategic Leadership: Drive the vision and strategy for the data sc

A data science consultancy is seeking a Lead Software Engineer to oversee multiple client projects, ensuring high-quality, scalable solutions. This is a significant position for contributing to innovative data engineering projects.

Always on lookout for BigData, Azure, GCP, AWS, DevOps, Data Scientist, ECM developers to architects. Proven experience in data science leadership roles with team management. Knowledge of cloud architecture, data engineering, and security best practices.

A technology firm is seeking a Senior Python Developer to design, implement, and maintain high-quality software.This remote role offers flexibility and collaboration opportunities across various UK locations.Candidates should possess strong Python expertise, experience in building production-grade a

A leading global technology firm in the UK is looking for a Data Scientist to lead a team in developing innovative ML solutions. Key responsibilities include managing the data scientist team, delivering predictive models, and collaborating with stakeholders.

Degree in Computer Science or related field. Practical experience applying AI in data platforms.