26 to 50 of 96 Machine Learning Jobs in the Thames Valley

their coupling with the atmosphere, including links with atmospheric composition. It works closely with colleagues specialising in atmospheric composition, data assimilation, atmospheric modelling, machine learning, evaluation and operations, as well as with Member and Co-operating States and external partners, to support the delivery of world-leading Earth … related international greenhouse-gas communities, together with knowledge of WMO G3W and its objectives Desirable experience and knowledge Experience with AI or machine-learning methods for Earth-system prediction, particularly for land-surface or carbon-cycle applications Experience developing scientific robust software and conducting large numerical experiments ...

Wednesday. What you'll be doing: Leading and developing a multi-disciplinary pricing and underwriting team. Enhancing pricing and risk models using GLMs, machine learning and actuarial techniques. Driving pricing strategy to meet loss ratio targets while supporting growth in policy volumes and GWP. Owning product and pricing … Proven experience in pricing, product, underwriting or actuarial roles within insurance or financial services. Strong technical capability in pricing models, risk analysis, GLMs, machine learning and data-driven decision making. Confident people manager with experience coaching and developing high-performing teams. Strong understanding of regulatory expectations, including product ...

expertise, our Training Transformation Services is modernising whats possible in the training and preparation of our armed forces. With a real blended approach to learning and using the latest innovative systems and technology, we ensure our service men and women really are prepared for any situation. Role & Responsibilities … cybersecurity, information assurance and interoperability considerations associated with defence and government technology environments.?Familiarity with Synthetic training environments Demonstrable understanding of AI/ML, Generative AI, agentic systems, analytics and knowledge-centric architectures (including RAG) and their application to defence training transformation. Data Analytics techniques LLM and RAG exploitation ...

viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring … issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join ...

organisation Work with other members of the Digital Biology Team to deliver a unified strategy Stay at the cutting edge of bioinformatics, AI/ML for biotech, computational biology, and industry standards What We’re Looking For Strong background in bioinformatics, computational biology, or a related quantitative discipline: a postgraduate … proteomics, metabolomics): from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation Mechanistic modelling and AI/ML pipeline development experience: building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven, or hybrid modelling approach fits ...

working within Agile delivery environments Desirable Experience: Cloud certifications (Azure, AWS, or GCP) TOGAF, DAMA CDMP, or Data Engineering certifications Experience with AI/ML platforms or MLOps Exposure to Data Mesh or Data Fabric architectures Enterprise Architecture experience Experience within Aerospace, Defence, Manufacturing, or other highly regulated industries ...

analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks ...

analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks ...

engage top talent across key skill areas including: Software Engineering (Java, Python, C#/.NET, JavaScript frameworks, etc.) Data & Analytics (Data Engineering, Data Science, ML/AI) Cloud & DevOps (AWS, Azure, GCP, Kubernetes, CI/CD) Build and maintain strong talent pipelines for niche and business-critical roles Utilise ...

that let our AI and hardware teams move fast without breaking things. This is a high-impact, high-ownership role at the intersection of ML research, compiler stacks, and novel hardware. What You'll Do Design and operate end-to-end ML pipelines: data ingest, training, evaluation, quantisation, and deployment … model registry, and versioning infrastructure (e.g. MLflow, W&B, or equivalent) tuned to our hardware-in-the-loop workflows Own CI/CD for ML: automated testing of model correctness, numerical accuracy, and on-chip performance after every change to models, compilers, or firmware Develop and maintain tooling for benchmarking ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy ...

development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly ...

Python (e.g., NumPy, Pandas, scikit‐learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software …/CD pipelines. Experience writing clean, efficient, and modular code suitable for production environments. Desirable Skills or Knowledge Familiarity with AMO physics or quantum machine learning. Experience with MLOps best practices. Knowledge of systems like Apache Kafka, MQTT or real‐time data pipelines. Experience with cloud platforms (AWS, Azure ...

Faculty is seeking a Machine Learning Engineer to deliver bespoke AI solutions for Financial Services clients. You will bring ML from lab to production, contributing to scalable software architecture and best-practice deployment. You will work with clients and cross-functional teams to ensure feasibility, timely delivery … high-quality, production-grade ML systems. Ideal candidates have hands-on experience with Python and ML frameworks, cloud platforms, and container orchestration. #J-18808-Ljbffr ...

journeys. Working with both structured and unstructured data, you will uncover insights and identify opportunities to enhance customer and operational outcomes. You will combine machine learning, NLP, and Generative AI techniques to extract value from text, develop predictive and analytical models, and take ownership of deploying data science ...

systems integration Event-driven and service-oriented architecture Data platforms, analytics and business intelligence Data governance, quality, lineage and master data Artificial intelligence, machine learning and automation Identity and access management Cybersecurity, privacy and compliance DevOps, DevSecOps and platform engineering Containers, Kubernetes and infrastructure as code Enterprise service ...

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

learn and work across the wider platform. Desirable Databricks/PySpark NoSQL/Cosmos DB Infrastructure as Code/DevOps automation AI/ML data integration Automotive or insurance industry experience If this sounds of interest please apply with an up to date version of your CV for immediate consideration. ...

platform services. Experience supporting classified or secure government environments. Strong understanding of hybrid cloud and on-premises infrastructure. Knowledge of Digital Twin, AI, and Machine Learning platforms. Experience with Kubernetes and OpenShift platform administration and architecture. Experience with multi‐cloud environments. Strong knowledge of DevOps, DevSecOps, Platform Engineering ...

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 ...

object detection Investigate challenging technical problems through structured experiments and evidence-based approaches Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate ML development Analyse model performance, identify failure modes, and develop innovative solutions to improve real-world capability Develop tools and processes to improve automation, repeatability … efficiency across the ML lifecycle Provide technical guidance and mentoring to other engineers Support integration, testing, and deployment of algorithms into real-time video processing systems Produce technical documentation, reports, and presentations to support engineering decisions What You'll Need Essential: Degree or equivalent experience in Computer Science, AI, Engineering ...

Learning Engineers for hybrid, fixed-term roles through end of 2027, with potential permanence. You will design, deploy and operate privacy-focused ML systems within a multidisciplinary team, contributing to the CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/ ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … transferred to another Incident Lead What You Will Bring 5+ years of experience leading incident response investigations involving ransomware Experience leading BEC investigations Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident ...

find enablement opportunities to expand adoption and utilization of ACS AI solutions.* Assist customers in understanding the strategic impact of integrating AI/ML into their workflows.* Design and implement AI proof of concepts to showcase the capabilities and potential impact on solving customer challenges.* Develop and deliver training sessions … Solution Engineering and software experience.* Proven experience in a similar role, preferably in AI software sales or solutions engineering.* In-depth knowledge of AI, machine learning, and data science concepts.* Strong presentation and communication skills, with the ability to convey technical concepts to diverse audiences.* Strong proficiency with ...