1 to 25 of 132 Machine Learning Jobs in the Thames Valley

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. ...

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 ...

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 ...

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 ...

integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions as you develop your skills in this area. Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus … MLOps, is also a plus. You will be considered a strong fit if you have: Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience. Experience with Generative AI (GenAI) and agentic systems will ...

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 ...

Senior Software Engineer or in a similar role. AWS Expertise : Strong proficiency in AWS services, particularly Amazon Lex and other AI/ML offerings. Tech Savvy : Proficiency in TypeScript and modern JavaScript frameworks. DevOps Knowledge : Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring). Contact Center ...

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/ ...

drive collaboration across engineering, product, security, professional services and customer facing teams Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift Responsibilities for Head of Engineering: Lead and develop engineering managers … Azure/AWS/GCP/SaaS Migration/Microservices/Infrastructure as Code/Kubernetes/CI/CD/AI Engineering/Machine Learning/API Architecture/.NET/Python/Java/JavaScript/C#/Software Development Manager/Software Engineering Manager ...

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 ...

Data Governance teams. Data Architecture & Engineering Oversee the development and maintenance of scalable data infrastructure, pipelines, and platforms (e.g., cloud data warehouses, streaming systems, ML platforms). Ensure data architecture supports performance, security, and cost efficiency. Evaluate and implement new technologies, tools, and best practices. Analytics & Insights Deliver reliable … accurate analytics to support product, marketing, finance, and operations. Partner with business leaders to define KPIs, dashboards, and reporting frameworks. Support advanced analytics and machine learning initiatives. Data Governance & Quality Establish data governance policies, ownership models, and data standards. Ensure compliance with regulatory requirements (e.g., GDPR, CCPA). ...

changes to NHS information standards, data sets, or performance metrics. 7. Innovation and Development of Analytical ToolsAdvanced Data Techniques: Employ advanced analytics techniques, including machine learning and predictive modelling, to identify emerging trends and patterns within the Trusts data. Work to automate routine reporting where possible to free … develop professional knowledge in the field of data analytics, including staying up to date with the latest tools, technologies, and methodologies. Engage in continuous learning to keep pace with NHS developments and best practices.Knowledge Sharing: Actively participate in knowledge-sharing activities, both within the data and information team ...

React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI Spectrum IT Recruitment (South) Limited ...

React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI Spectrum IT Recruitment (South) Limited ...

cloud deployment familiarity Interest in robotics, embedded systems, or IoT Experience with data visualisation or real-time data Exposure to AI/ML or computer vision ...

operational considerations: performance tuning, capacity planning, availability, disaster recovery, security compliance. Stay up to date with new ServiceNow features, modules, trends (e.g., AI/ML, data fabric, Now Assist), assess applicability, and recommend adoption where relevant Required Qualifications & Skills Experience : Typically 10+ years of relevant experience in IT, of which ...

React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity ...

field conditions, including support for field testing and sea deployments. Preferred Experience: Domain Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, or environmental sensing. If you’re passionate about ...

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 ...

owner or similar role Experience of JIRA and Confluence Strong understanding of product management practices? Understanding of Cloud Development, Data Modelling, PowerBI, AI and Machine Learning modelling Experience of SQL server, Azure and Microsoft Fabric Qualification: Preferably educated to graduate level with a bachelor’s degree in business ...