101 to 125 of 305 MLOps Jobs in England

deployment models across enterprise environments Advising clients on suitable AI use cases and opportunities for enterprise-wide adoption Collaborating with Enterprise Architects, Data Scientists, MLOps Engineers, DevOps teams and business stakeholders to shape and deliver solutions Selecting and implementing appropriate cloud, open-source and commercial AI technologies Leading the delivery … hosting Retrieval Augmented Generation (RAG), vector databases, semantic search and embedding techniques Python development and AI frameworks such as PyTorch, TensorFlow and LangChain MLOps frameworks and AI model lifecycle management API integration and enterprise-wide AI solution delivery Presenting architecture solutions to senior stakeholders, governance forums and architecture boards ...

Senior MLOps Engineer East Molesey, England, United Kingdom Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will improve and manage Machine Learning Operations on Azure and participate in creating, assessing, and advancing … Requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines, including MLflow, Azure ML, Azure DevOps, or similar tools. Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn ...

Looking for experience with: ✔ Python ✔ PyTorch/TensorFlow/Scikit-learn ✔ Production ML systems ✔ AWS/GCP/Azure Bonus points for MLOps, signal processing, maritime or offshore energy experience. If interested, please apply or message directly. ...

Excellent experience as a, ML, or AI Engineer, with evidence of shipping production systems Strong Python skills and experience with FastAPI Experience working modern MLOps tools, ideally Kubeflow Strong experience working closely with LLMs (including fine-tuning, RAG, prompt engineering) Strong problem-solving skills and ability to communicate technical trade ...

capabilities to ensure solutions are secure, well-governed, and scalable. Engineering Excellence: Establish and enforce best practices for the automated SDLC, including DevOps/MLOps pipelines , coding standards, and rigorous testing frameworks. Stakeholder Synthesis: Translate complex business requirements from product owners and stakeholders into actionable, high-level technical plans ...

product selling. Demonstrated success in selling: Generative AI and LLM-based enterprise solutions Predictive and prescriptive analytics Intelligent Automation (RPA + AI) Data Engineering, MLOps, and AI platforms Ability to articulate AI ethics, governance, security, and compliance considerations. Experience selling Managed AI Services and AI-as-a-Service models. Ability ...

product selling. Demonstrated success in selling: Generative AI and LLM-based enterprise solutions Predictive and prescriptive analytics Intelligent Automation (RPA + AI) Data Engineering, MLOps, and AI platforms Ability to articulate AI ethics, governance, security, and compliance considerations. Experience selling Managed AI Services and AI-as-a-Service models . ...

that allow their applied AI team to ship production LLM applications without breaking things. The focus is infrastructure engineering for AI systems — not traditional MLOps or feature engineering. You'll be responsible for: Multi-modal data pipelines — Ingesting video, audio, and structured data at scale; designing processing infrastructure that handles ...

stakeholders to translate business requirements into actionable technical solutions , manage delivery risks, and prioritise backlogs. Establish and enforce engineering best practices , including DevOps/MLOps, coding standards, testing frameworks, and documentation. Design and deliver innovative, scalable, secure, and sustainable solutions aligned with industry standards. Facilitate workshops and stakeholder engagement sessions ...

Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level and mentor senior technical talent ...

security. Excellent program management, communication, and stakeholder alignment skills. Preferred Qualifications Experience rolling out productivity tools and measuring their adoption and impact. Knowledge of MLOps and AI deployment practices at scale. Familiarity with compliance and risk considerations for AI (e.g., data residency, model governance). Hands‐on technical expertise ...

Responsibilities: Research state-of-the-art machine learning algorithms to solve network orchestration problems. Develop machine learning training infrastructure using kubernetes clusters, and managing MLOps tooling. Develop and maintain documentation related to novel algorithms developed by the team. Integrate AI technology with other components of the Spacetime platform to ensure ...

fundamentals. Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing ...

AI. Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical Expertise Represent Datatonic on site at client, at events, conferences, partner sessions, and executive ...

. Familiarity with cloud‐native data architectures and technologies. Desirable Experience with data management tools and processes. Experience with AI and Machine Learning, including MLOps practices. Experience with decentralised Data Mesh and Data Product architecture principles. For all roles in all locations, we offer a competitive, industry‐benchmarked salary. ...

functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable Experience in one or more of: MLOps for Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA ...

. Familiarity with cloud-native data architectures and technologies.* Experience with data management tools and processes.* Experience with AI and Machine Learning, including MLOps practices.* Experience with decentralised Data Mesh and Data Product architecture principles.* Maintain a high-level roadmap for the development of the research data ecosystem, outlining ...

MLOps Platform Manager, Palantir Fully Remote | 6 Month Contract | Outside IR35 | £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus … products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir ...

deliver actionable operational insights. You’ll collaborate closely with data scientists, software engineers, and domain specialists to develop intelligent analytics platforms leveraging modern ML, MLOps, and generative AI technologies within a highly collaborative engineering environment. Key Responsibilities: Design, develop, and deploy production-grade machine learning solutions for predictive analytics … engineering, analytics, and domain experts. Contribute to CI/CD automation, testing frameworks, code reviews, and software engineering best practices. Support end-to-end MLOps processes including deployment, monitoring and model validation. Explore and implement generative AI capabilities including LLMs, RAG pipelines, and intelligent workflow automation. Key Skills: Commercial experience ...

A leading technology firm in the UK is seeking a Machine Learning Engineer for a hybrid role focused on cutting-edge ML research and development. The ideal candidate will have a Master's or PhD ...

Baringa Partners LLP is looking for experienced Machine Learning Engineers to join their Solutions and AI Lab Team. The role involves defining and implementing machine learning projects, establishing ML Ops frameworks, and advising clients on ...

systems into complex banking and capital markets environments Establish and govern evaluation frameworks for AI and agent-based systems Oversee CI/CD, MLOps, and LLMOps practices across delivery teams Work closely with security, risk, and compliance teams to ensure ethical and regulated AI delivery Own and contribute to architecture … similar) Strong understanding of evaluation frameworks for AI/agent systems Experience implementing CI/CD pipelines and modern engineering practices Exposure to MLOps/LLMOps principles Experience working with at least one cloud hyperscaler (AWS, Azure, GCP, or Databricks) Strong Agile delivery experience (Agile, SAFe, XP, Jira, Confluence, etc. ...

focus include: Real-time sports insights & personalisation Computer vision & multimodal AI Live event detection & metadata generation Low-latency ML inference systems End-to-end MLOps & production ML Scalable cloud-native AI platforms What they’re looking for: Strong experience leading ML engineering initiatives in sports, media, streaming, or real-time ...

including challenging delivery plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience ...

thermal, radar) Model optimisation/deployment tooling (ONNX, TensorRT) Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) Familiarity with MLOps tooling (e.g., DVC, MLflow) Relevant open-source contributions in computer vision Interested? If this sounds like you, apply with your CV or get in touch to discuss ...