23 of 23 Permanent Machine Learning Jobs in Oxfordshire

Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop … validate novel machine learning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work ...

novels such as Judge Dredd. Job Overview We’re seeking a skilled and innovative Machine Learning Engineer to join our cutting‐edge ML Team. You’ll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming. Position Summary … future of our game products. Key Responsibilities Generate game levels and 3D worlds. Enhance our game products. Develop custom tools for our teams. Integrate ML and deep learning (DL) models into our production workflows and real‐time gaming environments. Implementation, and optimisation of ML algorithms and tools for game ...

take ownership in a fast-moving environment with strong potential for growth. You’ll play a key role in ensuring their AI/ML products are robust and ready for deployment. (This role requires you to work on-site at the client company's Oxford office 2 days per week … responsibilities Deliver high-quality, well-tested features that directly impact early detection and treatment of lung cancer Collaborate with ML scientists and engineering teams to deploy models to production Research and introduce new technologies to maintain competitive edge Participate in Agile processes, including planning and standups Support and enhance cloud ...

developing and improving analytical workflows. Working closely with the Mirico team, you will help drive the next stage of our gas-modelling and ML capability , validate and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse … data from Mirico field deployments Contribute to the development and enhancement of key analytics pipelines, including: Detection of emission events (signal processing, anomaly detection, ML classification) Gas modelling for source localisation and quantification Total site quantification of emissions Research and apply machine learning and AI methods to complement ...

PEOPLE in Oxford is looking for a Machine Learning Engineer to join their innovative ML Team. In this role, you will be responsible for developing and integrating machine learning and deep learning models into real-time gaming environments, collaborating with cross-disciplinary teams, and mentoring ...

vehicle logs and simulation outputs to curated, labelled, and model-ready datasets. This includes handling multimodal sensor data, scaling labelling through both human and ML-based workflows, and enabling intelligent selection of high-value data from thousands of hours of real-world and simulated driving. This role sits close … into training-ready datasets Support hand-labelled and auto-labelled data pipelines, including validation and quality control Help build and scale autolabelling systems, where ML models generate annotations across large datasets Support intelligent data curation and selection from thousands of hours of real-world and simulated driving Generate and process ...

technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values ...

technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values ...

that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake ...

simulation tools (FEA, CFD). Familiarity with CI/CD, containerisation, and infrastructure-as-code tools (e.g. Terraform). Experience or interest in machine learning applications within engineering contexts. Ideal Profile An early to mid-career software engineer (2–5 years’ experience) with strong technical foundations and demonstrable ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

bring their whole, authentic selves to work every day. 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 crew ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...

Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration ...

looking for robust OOP programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and IAC using Terraform would be standout.We are looking for a connection with the Scientific/Applied/Mechanical ...

hardware/software co-design; expertise in one or more of: digital signal processing; wireless PHY design; error-correcting codes; adaptive signal processing; machine learning applied to communications systems; experience conducting RF or over-the-air testing in laboratory environments; familiarity with Linux-based embedded development environments ...

within the wider product platform Develop algorithms across perception, planning, control, and decision-making Collaborate with embedded software engineers, systems architects, and AI/ML specialists to integrate components into the wider system Assist with testing, validation, optimisation, and reliability improvements Contribute to improving software development processes, tooling, and testing ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

bring their whole, authentic selves to work every day. 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 crew ...

software Produce and review compliance documentation such as Software Verification Plans, test cases and verification reports Work closely with software, systems and AI/ML teams to ensure certification readiness Carry out requirements based testing and maintain full traceability using tools such as DOORS or Polarion Support regulatory audits … traceability tools and test management systems Knowledge of software lifecycle processes in certified environments Desirable Skills Experience with assurance or testing of AI or machine learning based systems in regulated environments Experience across different Design Assurance Levels (DAL A to E) Exposure to model based development such ...

Desirable Knowledge, Skills and Experience: Experience in research, higher education, or scientific computing environments Familiarity with HPC, large‐scale data platforms, or AI/ML infrastructure Relevant certifications (e.g. CISSP, CCSP, SABSA, TOGAF with security focus) Experience with advising scientific staff and researchers within an R&D environment Our Benefits ...

quickly together, embracing collaboration and change as part of start‐up life. Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it – not because it is expected every day, but because seeing progress matters. … Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‐based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system ...

quickly together, embracing collaboration and change as part of start-up life.? Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it - not because it is expected every day, but because seeing progress matters. … Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag-based workflows).? Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system.? Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system ...