1 to 25 of 43 Permanent Machine Learning Jobs in Oxfordshire

metal components are conceived, tested, and produced - enabling breakthroughs in aerospace, energy, and beyond. This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact - from inventing new alloys to optimising complex manufacturing processes. You'll collaborate with leading data scientists, engineers … materials researchers to build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production. If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you'll fit right in. ...

from you! Key Responsibilities Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/… stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using ...

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 ...

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 ...

interactive workshop to teach artificial intelligence concepts through guided exercises and discussion Serve as a thought leader, evangelizing the benefits of AI testing & reinforcement learning Maintain deep understanding of competitive and complementary technologies and vendors and how to position Braze in relation to them Collaborate cross-functionally (e.g., sales … engaging presenter: You are an enthusiastic and engaging presenter, with the ability to communicate effectively with a wide range of stakeholders An expert in machine learning: You have a solid grasp of machine learning, including a familiarity with reinforcement learning Mar-tech savvy: You understand ...

Machine Learning Engineer Oxford - Some flexibility on the working times and potential for some hybrid working for the right candidate £Competitive + Excellent Benefits Join a fast-growing, venture-funded technology company developing the next generation of advanced metal components. Our multidisciplinary team of metallurgists, engineers, and software ...

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 ...

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 ...

investigation workflows, and threat analysis. Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end. Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent … platform infrastructure. Use Cynet's ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models. Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions. Requirements: 5+ years of hands-on cybersecurity research experience. Proven ...

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 ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI. Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft ...

interact with customers as effectively as experienced human financial and banking experts. We're a diverse group of people, including data scientists, data engineers, machine learning engineers, software engineers, product owners, DevOps specialists, and many more. We come from a variety of backgrounds across the globe … share a vision of the untapped potential of human and machine intelligence! Our Conversation Memory Platform is leading the way in our efforts to use innovative technology to help Britain prosper. We're currently leveraging the power of Natural Language Processing to analyse unstructured data and are seeking ...

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 ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

/CKA Certification is a plus. Experience and thorough understanding of DBaaS, PaaS, IaaS is plus. Exposure to Splunk, Elasticsearch, BigData, and AI/ML is a plus. Understanding of Networking, Storage, and Security Concepts is desirable. Good senior stakeholder contacts in the region with potential Telecom and Service Provider ...

value‐driven and aligned to GI's strategic priorities. The Head of GenAI helps build a culture that embraces experimentation, responsible innovation and continuous learning—ensuring that GenAI delivers real benefits for customers, colleagues and the business Skills and experience we're looking for Deep expertise in artificial intelligence … with a strong focus on generative AI technologies and their application across insurance operations. Strong knowledge of machine learning, natural language processing, and large language models, including their ethical and regulatory implications. Strong business acumen and commercial awareness, with the ability to assess and communicate the financial impact ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

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 ...

literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality ...

literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality ...