1 to 25 of 31 Machine Learning Jobs in Oxfordshire

solutions to clients across finance, healthcare, energy, and technology. We are seeking a passionate Graduate Machine Learning Engineer to join their growing ML & Data Science team. This is an exceptional opportunity for a recent graduate looking to launch their career in an environment that values innovation, technical excellence … continuous learning. You’ll work alongside experienced data scientists, ML engineers, and software developers to design, build, and deploy production-grade machine learning models. Key Responsibilities Develop, train, and evaluate machine learning models to solve real-world business problems. Support the full ML lifecycle—from data ...

accelerate materials innovation and transform manufacturing. Role Overview We are seeking a Machine Learning Engineer to design, develop, and validate novel ML models that optimise manufacturing processes and material composition. You will collaborate closely with process engineers and materials scientists, identifying meaningful features and translating complex datasets into … impactful insights. You will also help advance our internal ML platforms to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model ...

team members (small group) at regular intervals, weekly or bi-weekly, both onsite and occasionally in conference calls Analyse data in order to design machine learning algorithms Write documentation/technical notes to document the design of the algorithm Use a variety of tools and technologies and coding … language(s) used by the team to develop the machine learning algorithms Show initiative especially regarding learning new things Participate in the wider department and STFC apprentice training programme Work independently at times and ask questions if unsure Take responsibility and aim to deliver work ...

water resources modelling platform, with opportunities to contribute across a broader flood modelling software suite. A key element of the role will involve applying machine learning techniques alongside established hydrological models to enhance performance, insight, and innovation. Key Responsibilities Develop and manage hydrological methods within a national water … resource modelling platform. Contribute to the development and enhancement of UK flood estimation and modelling tools. Identify and implement machine learning approaches to support and extend existing hydrological models. Translate scientific research into robust, user-focused commercial software solutions. Support software testing, validation, and user interface development. Engage ...

tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients … What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality ...

tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients … What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality ...

Qualifications: Bachelor's degree with 1-3 years of experience, or a Master's degree with similar experience. Proficiency in machine learning (ML) areas such as natural language processing, computer vision, and statistical learning theory. Proven experience in an ML engineering or data scientist role, building … optimizing ML models. Strong coding skills in Python, R, Scala, Java, or C++ Experience working with large-scale datasets, uncovering hidden patterns, using data visualization tools, writing SQL, and leveraging GPUs for model development. Skilled in communicating technical concepts to a variety of audiences, including business, technical, and non-technical ...

advanced simulation and design tools. Projects that interface with mechanical and thermal analysis tools like FEA and CFD. Opportunities to engage with technologies like machine learning, agentic AI pipelines, and full-stack frameworks. You’ll bring experience such as... A degree (2:1 or above) in Computer Science … Vue3, TypeScript, Django). Experience with AWS , particularly EKS deployments . Background in mechanical or aerothermal design – FEA, CFD, or turbomachinery principles. Exposure to machine learning pipelines or agentic AI systems . What’s In It for You? A chance to work on genuinely ground-breaking engineering projects. ...

Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 Create flow estimation, flood estimation, and catchment models Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes Develop, manage, and enhance hydrological and modelling methods Work closely with a team to support scientific research … Civil Engineering, Environmental Science, or a cognate discipline Considerable experience of coding, particularly using Python and/or R Demonstrable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-centric environmental science role Confident ability in handling ...

Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 Produce flow estimation, flood estimation, and catchment models Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes Develop, manage, and enhance hydrological and modelling methods Support scientific research Liaise closely with clients and other … Civil Engineering, Environmental Science, or a similar, relevant discipline Demonstrable experience of coding, particularly using Python and/or R Considerable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-based environmental science role Confident ability ...

Develop and manage hydrological methods within national water resource and flood modelling platforms Contribute to industry-standard flood estimation and hydrological software tools Apply machine learning techniques to enhance existing hydrological models Analyse complex spatial and temporal datasets Translate scientific research into commercial-grade software and tools Liaise … Degree (2:1 or above) in Hydrology, Environmental Science, Civil Engineering or similar Strong Python and/or R coding capability Experience applying machine learning to environmental or water datasets Solid grounding in hydrology, flood risk or water resources Confident communicator with both technical and non-technical audiences ...

coding genome to understand the root causes of human disease and enable new therapeutic targets. Combining high-throughput functional genomics with advanced computation and machine learning, the company’s platform integrates vast, complex datasets to drive precision drug discovery. As part of a cross-disciplinary Computational team … scale functional genomics data from raw, unstructured lab outputs to structured, accessible datasets used for analysis and decision-making. You’ll collaborate with bioinformaticians, machine learning specialists, and software engineers to ensure scalability, reliability, and performance across the entire data ecosystem. Key Responsibilities: Develop and manage core data ...

looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers … data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development ...

looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers … data acquisition pipelines, data management and ML model training click apply for full job details ...

Description We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. … This stack covers data acquisition pipelines, data management and ML model training ... ZIPC1_UKTJ ... ...

Highly organised, proactive, and self-motivated Desirable Skills Containerisation (e.g., Docker) ASP.NET Core/Blazor JavaScript or TypeScript (e.g., React) 3D geometry programming WPF Machine-learning model development CI/CD pipelines Infrastructure-as-code (e.g., Terraform for Azure/ ...

independently manage substantial technical projects Desirable Skills Experience with Vue3, TypeScript, Django, or full-stack development Familiarity with AWS EKS deployments Exposure to machine-learning or agentic-AI pipeline development Understanding of FEA, CFD, aerothermal design, or turbomachinery principles This position is only open to NATO passport holders ...

motivated, able to own and independently manage large projects Desirable Skills: * Familiarity with Full stack development including Vue3, Typescript and Django AWS EKS deployments Machine learning model development Agentic AI pipeline development Some understanding on mechanical design processes and tools, specifically FEA and CFD for aerothermal design. Including ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

best practices focused on de-biasing the whole recruitment cycle. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. Our diverse, multi-cultural ...

with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs. Strong Mechatronics understanding Exposure to simulation and validation tools for robotic systems. Knowledge of Machine Learning principles for perception or control. Offices and Lab located in Oxford. Hybrid working c.3 days in office Salary ...

Software Engineer will: Work with a mature Python/Django codebase to further develop clinical products which give diagnostics information to clinicians Work with machine learning concepts to develop existing and new medical image analysis technologies The Company The Software Engineer will be joining an established Oxford-university ...

Month Contract with scope to extend Please apply for the full details. Role Overview My client is seeking a full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than ...

processing and deep learning. Key Responsibilities Developing Algorithms in CUDA. Host Device system management (memory management, data transfers, multi-GPU support). Deployment of ML models using TensorRT within a C++ application. Profiling GPU applications with Nsight Systems/Compute Configuration of GPU hardware to maximise performance. Make recommendations … challenges of GPU solutions to non-technical colleagues. You would be working as part of our Software Engineering team and closely with our Machine Learning and Research teams. We have an informal and friendly company culture and a healthy work/life balance. Required Skills, Knowledge and Expertise ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...