1 to 25 of 28 Remote/Hybrid Machine Learning Jobs in the Thames Valley

Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical … hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning ...

defining best practices. Working with clients, and cross-functional teams, you’ll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you’ll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML … implementing Faculty’s standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we’re looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like ...

Role Research Engineer Salary Competitive Contract Perm Location Oxford The Role As our Research Engineer, you will sit at the boundary between frontier machine‐learning research and shipped product. You will take ideas from the research edge, reinforcement learning, RLHF, multi‐objective policy optimisation and LLM post … customers depend on, while connecting that research to OD’s product vision and to what our customers actually need. Responsibilities Apply and adapt machine‐learning and reinforcement‐learning research to OD’s product roadmap, translating research direction into shippable capability. Design, train and evaluate models using reinforcement ...

What you'll do Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … Publish, contributing to papers, technical reports, and conference talks that put the Lab's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. What ...

will help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing and real-time inference workloads. Key Responsibilities Deploy and manage ML models in production using Azure Machine Learning. Design and maintain Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines … ML artefacts. Implement monitoring, logging, security, and governance controls. Manage data pipelines, storage solutions, data versioning, and lineage tracking. Support real-time inference and scalable ML workloads, including auto-scaling. Collaborate with technical and business stakeholders to optimise model performance and platform reliability. Produce and maintain technical documentation. Skills & Experience ...

safely and efficiently into production. This is a key operational, technical and leadership role at the intersection of science, software engineering, high-performance computing, machine learning and 24/7 operational delivery. You will provide technical and people leadership for the team responsible for ensuring that ECMWF … dissemination steps are aligned and robust. It oversees workflows used to produce operational weather forecasts from medium‐range to seasonal timescales, as well as machine‐learning‐enabled forecasts, Copernicus climate reanalyses and atmospheric composition services and Destination Earth Digital Twins. It also monitors the performance of operational suites ...

fully remote for the right person The role This is a genuine dual role: real line management and delivery leadership across the Lab's ML engineering function, plus a meaningful hands-on contribution to technical delivery yourself. You'll manage a growing team of ML Engineers and Scientists, shape ML … stay close enough to the work to actually lead it technically, not just report on it. What you'll do Line-manage and develop ML engineers: coaching, mentoring, feedback, and input into hiring and onboarding. Stay hands-on with technical delivery on selected projects, alongside your leadership responsibilities across multiple ...

behaviour at scale, enabling Kantar’s products to test scenarios and predict outcomes before they happen. What you’ll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

further testing or re-testing. Interpret and curate data on plasmids and mobile genetic elements from genomic and metagenomic datasets. Collaborate with colleagues developing Machine Learning models for AMR prediction from genotype. Contribute to research to identify and investigate novel antimicrobial resistance mechanisms identified by Machine Learning ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Analytics Customer Insights CRM Billing & Charging BSS/OSS Digital Channels & Self-Service APIs & Systems Integration Cloud Data Platforms (AWS, Azure or GCP) AI, Machine Learning or Advanced Analytics Key Skills Product Strategy Product Roadmaps Scrum Agile Delivery Data Products Data Platforms Customer Data Analytics Product Discovery Backlog ...

projects. About You You’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions ...

understanding of data engineering, pipelines, APIs, and scalable data platforms Experience in managing cloud-based infrastructure, ideally including Azure and Databricks Practical knowledge of machine learning and applied AI in business settings On Offer Up to £120,000 plus annual discretionary bonus Pension matched up to 7.5% Private ...

within the squad. Working in partnership with more experienced staff, their responsibilities will expand based on developing capabilities, including growing exposure to AI/ML and GenAI approaches. A key part of the role is collaborating with colleagues across Investment Technology & Distributions, Cloud Teams, and Tech departments including Enterprise Architecture … tools) across the platform's Cloud environment, contributing to ongoing Cloud migration activities. Apply AI-assisted development tooling (e.g. GitHub Copilot) and AI/ML techniques where they add value to accelerate coding, testing, deployment and delivery. Contribute to opportunities to apply AI/ML and GenAI across the platform ...

identify the most modern, digitally enabled ways of delivering those that remain. Agentification and AI: Redesign horizontal process ownership, leveraging intelligent automation, machine learning, and autonomous agentic workflows to eliminate manual activities and build a high-value onshore Centre of Excellence. Sweating the Systems Assets: Maximise value from ...

Abingdon, you will contribute to shaping workflows and data strategies for subsurface interpretation. You will collaborate across disciplines, stay current with AI/ML trends, and help advance customer data initiatives within our R&D environment. Hybrid work with 3 days in the office. #J-18808-Ljbffr ...

helping to build a future that works better for everyone. We move at pace, because what we're building matters - and we're learning as we go. We're proud of the progress we've made, but we're just getting started. Join our Technology team and push … bring experience in security architecture within IT, cloud, digital, or network environments You have hands-on exposure to AI/ML systems, data platforms, or AI-enabled product design (even if you're not a developer or data scientist) You understand AI-specific risks and can confidently translate them into ...

agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on‐premises, or sovereign cloud … principles (ISO 27001, NIST, OWASP) Experience in pharma/bio tech or highly regulated environments is a plus Contributions to open-source AI/ML projects Soft Skills Delivery-focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical ...