26 to 34 of 34 Machine Learning Jobs in Oxfordshire

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference Deploying to cloud and edge environments using Terraform, Helm, and Kubernetes (EKS/OpenShift) Automating deployments via CI/CD tools such … About You You’ll bring experience in both AI development and systems engineering, including: Commercial experience building and deploying multi-agent systems Strong Python development skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A More ❯

for our operational beamlines. The postholder will contribute to shaping Diamonds data analysis strategy and lead cross-functional projects that combine experiment management, real-time analysis, and AI/ML-driven optimisation. As a Senior Software Scientist, you will: Collaborate closely with beamline scientists and engineers on automation, mail-in, and remote-operation workflows, supporting the groups strategic goal of … analysis pipelines for SAXS, WAXS, IR imaging, and CD spectroscopy, integrating these with Diamonds information management systems and computational infrastructure. Lead and contribute to the implementation of AI/ML-driven workflows for tasks such as beam and optics optimisation, instrument digital twins, signal and image denoising, and hyperspectral analysis. Work with partners such as the Ada Lovelace Centre (ALC More ❯

lead the development and evolution of a modern enterprise data platform. This strategic, hands-on position involves architecting and optimising scalable data pipelines to support advanced analytics, AI/ML initiatives, and actionable insights across the organisation.You'll take full ownership of the Snowflake platform implementation and adoption, ensuring it becomes the central hub for trusted, secure, and high-performing … Guide and develop data engineers and analysts in best practices and technical excellence. Stakeholder Collaboration: Work closely with business teams to deliver scalable data products for analytics and emerging ML initiatives. Monitoring & Reliability: Establish monitoring, alerting, and cost management strategies to ensure resilience and predictable spend. What You'll Need to Succeed Proven experience designing and delivering cloud-based data More ❯

Please follow this link to apply: Role Summary We are seeking a senior 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 at least four agents. This role blends cutting-edge AI research with hands-on deployment leadership. You … agent workflows for search, reasoning, and automation at scale. - Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. - Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment - Implement, and maintain multi-account, multi-region AWS environments using IaC (Terraform, Helm, CloudFormation). - Manage Kubernetes clusters (EKS/OpenShift), service meshes More ❯

AI Scientist ~x3 Job Openings Location: Oxford Working Model: Onsite every Tuesday & Wednesday About the Company The Applied AI team sits within cience and engineering division, focused on translating ML research into real-world impact across healthcare, climate, and biotechnology. Their current projects include antimicrobial resistance (AMR), plant phenotyping, and patient-journey modelling. About the Roles & Responsibilities Protein & DNA Modelling … building and adapting ML models to biological sequence and structure data, often leveraging foundation models such as ESM and EMO. Computer Vision & 3D Reconstruction – developing applied AI solutions for imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems. LLM Engineering for Autonomous Labs – designing and deploying large language models to automate experimental workflows and scientific protocols. Qualifications PhD in More ❯

curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. EIT is seeking a Product Manager to join the Applied ML team at Ellison Institute of Technology, as we set up our Data Science and Engineering organization and begin the journey of enabling various programmes and opportunities within EIT through the … disparate technical and domain expertise to a single purpose/vision This person would interface directly with our Product Leadership, as well as number of technical (e.g., Data Science, ML Ops), business and operational leads (within the programmes) and own the product strategy, feature definition, and development timelines for products that support programme or Applied ML objectives. Key Responsibilities: Define … and shepherd holistic Applied AI/ML product strategy and delivery in alignment with broader programme, business or research priorities including: Working with programme business leads to identify opportunities for applied AI/ML product and set the product vision and strategy in alignment with the programme mission Act as a link between technical team (e.g., data scientists, data engineers More ❯