7 of 7 Permanent Machine Learning Scientist Jobs in the East of England

collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Senior Research Scientist Requisition ID: 121740 Location: Great Baddow - Hybrid working 2 days onsite per week Grade: GG11 Referral Bonus: £5,000 BAE Systems Digital Intelligence Innovation and Technology is seeking to … recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information … diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will More ❯

Workplaces for Millennials, and Best Medium Workplaces lists. Summary Here at Insmed Cambridge, we believe that data drives discovery. We are developing the next generation of computational tools and machine learning models to accelerate therapeutic development for rare genetic diseases. To support this mission, we are seeking a talented and motivated Data Scientist with expertise in Machine Learning to join our growing team. In this role, you will help build a pioneering platform enabling data-driven drug discovery, target discovery and nucleic acid therapy development. You will apply a wide range of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data … analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery, and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML models into production-grade pipelines, APIs and cloud-based services. Building high-quality, well-tested and maintainable code Provide analytical More ❯

Senior AI/ML Research Scientist - Data Science and Machine Learning £60,000 - 70,000 GBP + Bonus & Package Onsite WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Senior AI/ML Research Scientist - Data Science and Machine Learning Location: Chelmsford, UK (with flexible UK-wide options) Job Type: Full-time Permanent … Security Clearance: Must be eligible for UK security clearance Overview: A leading technology and innovation consultancy is looking for a Senior AI/ML Research Scientist to join its growing Data and Decision Support capability. This role focuses on developing advanced algorithms and machine learning solutions for sequential (time-series) data , including sensor signals, RF, radar, sonar … develop prototypes, and mentor junior researchers. Key Responsibilities: Lead delivery of technical research projects, supporting junior researchers and producing high-quality reports, proposals, and demonstrators Conduct novel research in machine learning, signal processing, and decision-making, often in collaboration with universities or research partners Develop proof-of-concept tools and algorithms, primarily in Python Present findings clearly to More ❯

Data Science and Machine Learning Research Scientist Location: Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within … team, youll help shape next-generation tools across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept … exploration to proof-of-concept demonstrators for government R&D sponsors. The team operates at the intersection of data science, autonomy, cyber, and complex systemsblending statistical, symbolic, and machine learning approaches to address high-impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making More ❯

transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We … are seeking a Machine Learning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether you're an early-career researcher or a seasoned expert, you will work with … an interdisciplinary team of scientists and engineers to develop state-of-the-art machine learning models to decode nucleic acid and protein-level mechanisms, analyze large biological datasets, and support the design of therapeutic molecules. This is an opportunity to work at the interface of machine learning and computational biology, making impactful contributions to drug discovery More ❯

Permanent Competitive Hybrid Cambridge, Cambridgeshire, United Kingdom Updated on: 16-07-2025 ROLE OVERVIEW We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods … for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural and … closely with cross-functional teams to ensure effective translation of research into production-ready solutions. ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Machine Learning Scientist we are looking to identify the following on your profile and past history: 1. Relevant degree in a technical discipline (e.g., computer science, chemistry, physics More ❯

Machine Learning Scientists/Engineers, Cambridge, UK Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on Neurological Disorders and Oncology. The Role We are seeking Machine Learning Scientists/Engineers for permanent … and 3-year fixed-term contracts to develop innovative machine learning methods for structure-based drug discovery. You will work on advancing computational tools that impact the design and optimization of therapeutics, leveraging extensive proprietary datasets and cutting-edge AI techniques in a collaborative environment. Responsibilities: Design and implement ML models for structure-based drug design, including protein … with multidisciplinary teams to translate research into production solutions. Profile and Skills: PhD or equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity More ❯