26 to 50 of 172 Machine Learning Jobs in the Thames Valley

assessment, and the exploitation of training analytics and After-Action Review (AAR) capabilities Knowledge of Data Analytics, Artificial Intelligence (AI), Machine Learning (ML), digital engineering, and decision-support technologies, Experience defining and implementing LVC architectures, simulation federation approaches, and interoperability standards including HLA, DIS, TENA, and NATO ...

within your specialist market. Manage candidates throughout the recruitment process, from initial approach through to offer and onboarding. Develop strong market knowledge across AI, machine learning, software engineering and adjacent technology disciplines. Use a combination of LinkedIn, headhunting, referrals, networking and creative sourcing strategies to identify hard … Looking For 2–5 years’ recruitment experience , with strong tenure and a proven track record of delivering consistently. Experience recruiting within AI, Machine Learning, Data, Software Engineering or another closely adjacent technology market . Strong delivery capability, with genuine confidence in sourcing and headhunting. Experience recruiting for roles ...

bids, and mentor a high-innovation team of junior engineers. The Toolkit The Sweet Spot: Proven experience implementing hybrid algorithms (classical math + ML) for state estimation, anomaly detection, or information fusion. The Core Math: Deep familiarity with time/frequency domains, Fourier transforms, digital sampling, and filter design. … Frameworks: Practical knowledge of EKF, UKF, Lie Group UKF, or Physics-Informed ML is highly advantageous. The Stack: Fluency across C++, MATLAB/Mathematica, and Python. The Background: Typically a Bachelors, Masters, or PhD in a relevant STEM discipline, paired with few years of recent experience ...

that power business insights, critical business capabilities, and AI-enabled decision‐making. You will work across data engineering, analytics enablement, visualization, and AI/ML engineering, contributing to reliable data pipelines, governed datasets, orchestration frameworks, and data products that enable self‐service analytics and intelligent automation across the enterprise. … reusable, and performant data products SQL, Data Modelling & Analytics Enablement Create well-modelled, trusted datasets that support reporting, visualization, advanced analytics, and AI/ML use cases Enable self‐service data access and governed consumption by building clear data contracts, documentation, and quality controls Contribute to integrated data foundations that ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity, we foster a culture of collaboration, innovation, continuous learning, and career growth. About the Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build … extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability ...

Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. The AWS AI/ML team helps to support and operate some of the most comprehensive artificial intelligence and machine learning services in the world. From SageMaker … Bedrock to Amazon Q, the AI/ML team manage some of the most exciting, rapidly evolving services in AWS. If you join us, you'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity ...

anomaly detection, runbook automation, incident triage, and RCA summarization. Implement RAG (Retrieval‐Augmented Generation) pipelines over operational knowledge bases and runbooks. Integrate AI/ML models into SRE observability tools like New Relic and automation workflows, including monitoring, alerting, and self‐healing. Build and maintain RESTful and async APIs using … driven infrastructure automation using Terraform, Ansible, and Jenkins. Enforce engineering best practices, including code reviews, unit testing, and CI/CD pipelines for both ML and application code. Evaluate and introduce emerging AI frameworks and LLM providers, including OpenAI, Azure OpenAI, Bedrock, LangChain, and LlamaIndex. Maintain Kubernetes‐deployed AI workloads ...

with Microsoft Azure or other cloud platforms (AWS, GCP). Experience with graph databases and graph‐based data modeling. Experience contributing to AI/ML‐enabled tools in a scientific or data‐driven environment. Experience mentoring others or acting as a technical lead or point of reference. Experience with C#. ...

Springboot, or Python and modern application development.* Experience with microservices, APIs, CI/CD, and Agile development.* Experience working with or integrating AI/ML services.LLM integrations, AI-powered API* Working knowledge of AWS cloud services and cloud‐native architectures* Financial services or asset management experience preferred* Bachelors/Masters ...

schematics Familiarity with networking or IT infrastructure Experience with Python or other backend/scripting languages Exposure to machine learning concepts or ML-enabled products Experience working in an early-stage, startup or deep-tech environment Optics/optical fibre handling Most importantly, we're looking for someone ...

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 … related field, or equivalent experience. Desired Skills Ability to write code or scripts (e.g., Python) to build automation directly. Experience building AI/ML‐powered or agentic applications, and with API integrations, CI/CD pipelines, or deploying production‐grade services. Technical background in systems administration, software engineering, cloud security ...

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 … Experience leading BEC investigations Conduct in‐depth digital forensic analysis of data extracted from cloud environments such as AWS, Microsoft Azure, and GCP 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 ...

timely, structured manner to technical and non‐technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. Required Qualifications 5+ years of professional software engineering building and shipping complex, production‐grade applications — not solely scripting, prototyping, or research. ...

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 ...

business challenges across customer behaviour, risk, and pricing. What You'll Do · Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments. · Shape the Platform: Collaborate with Data Engineering and Analytics to build reproducible pipelines and integrate workloads into a Unified, AI-powered … Excellence: Monitor live model performance, guard against data drift, and champion best practices in MLOps. What You Bring ·Proven experience building and iterating on ML models in a commercial setting. ·Expert-level Python skills (pandas, NumPy, scikit-learn, etc.) and strong statistical grounding. ·Experience working within cloud or modern data ...

Systems Administrator to join the Department of Engineering Science at the University of Oxford, working within the newly established The British Open-ended Learning and Discovery (BOLD) Lab, a major new UK Research and Innovation (UKRI) funded initiative that will establish a world-leading AI research laboratory … other job scheduling systems Experience with containerisation and virtualisation technologies Knowledge of cloud computing platforms Familiarity with scientific computing tools and AI/ML research workflows Experience supporting research software or academic computing environments Knowledge of high-performance file systems such as BeeGFS or Lustre The Department holds an Athena ...

security policies and data protection requirements Our main requirements: Evidence of continuing professional development in software engineering, Python development, and/or AI/ML Experience developing, integrating and supporting AI-enabled solutions, including generative AI, machine learning or LLM-based services Software engineering skills with the ability ...

Digital Limited is seeking a Machine Learning Engineer to design, deploy, and operate AI/ML systems in production. You will work across the full ML lifecycle, from data prep to model serving, with a focus on reliability and observability. You will collaborate with multidisciplinary teams, leverage modern ...

Aioi R&D Lab – Oxford is seeking a Senior Machine Learning Engineer to translate research into robust, production‐ready ML services within a privacy‐sensitive, multi‐partner environment. You will set ML engineering and MLOps direction for CODAS workstreams and lead how research gets built, tested, and shipped. ...

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 us at the heart … Data modelling, Data warehousing or analytics engineering, with a strong understanding of data modelling concepts. Exposure to Data Vault 2.0 and an interest in learning Data Vault methodologies would be advantageous. Good understanding of modern data platforms, Lakehouse architecture, cloud technologies and data warehousing concepts. Expertise working with enterprise ...

technical specialists while you develop skills in: Using statistics to understand data and test ideas Presenting data clearly using charts, dashboards and visual tools Machine learning and artificial intelligence, which help computers find patterns and support decision-making Programming using tools such as Python ...

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 ...

gauge the validity of synthetic results; developing LLM-guided adaptive experimental designs to enable the implementation of optimal treatments on-the-fly; implementing representation learning and text-as-data pipelines, employing learned representations of complex data for downstream (econometric) models; working closely with team members (data scientists, software engineers … faculty) to adapt code used for data wrangling, machine learning, and optimisation to the specific needs of projects; and contributing to the workshops and conference programme through which the platform reaches the wider research community. The successful candidate will hold an advanced degree in Computer Science, Engineering, Statistics ...