76 to 100 of 226 MLOps Jobs in London

learning frameworks, and Generative AI/LLM components. Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams. MLOps: Implement model deployment, monitoring, testing, and lifecycle management using standard CI/CD and containerized workflows. Architecture: Contribute to technical design decisions, trade-off analyses … Azure, or GCP) using Docker and Kubernetes. Engineering: Strong software engineering fundamentals, including version control, testing, and API/microservices architecture. Experience with MLOps platforms (e.g., MLflow, SageMaker) or agentic AI frameworks. Familiarity with secure development practices or regulated/high-compliance environments. Background in NLP, computer vision, or data ...

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. ...

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 ...

applications. You’ll drive end-to-end development from discovery to production, work across voice, vision, and text, and leverage LangChain, LlamaIndex, and modern MLOps on AWS/Azure/GCP to deliver scalable, observable AI solutions at scale. #J-18808-Ljbffr ...

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 ...

modelling experience Experience working with large datasets and technologies such as PySpark or Hive Familiarity with version control systems such as Git Understanding of MLOps principles and production deployment practices Exposure to containerisation technologies such as Docker Experience with Kubernetes or workflow orchestration tools Why Join Us? This ...

engineering excellence across the team. Partner with sales and tech leadership to define requirements for high‐value opportunities, deploying specialized experts (Machine Learning Operations (MLOps), Generative Media (GenMedia), or Agentic systems) to key accounts. Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills ...

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 ...

quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics ...

technical or business field. Bonus qualifications: Experience with AI accelerators or GPUs LLM fine-tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary Range: £94,500 - £115,000 GBP #J-18808-Ljbffr ...

integration challenges of deploying AI within regulated market systems.* Strong command of modern AI capabilities: LLMs, agentic frameworks, RAG, ML inference, and MLOps, sufficient to lead technical teams and challenge engineering decisions.* Demonstrated ability to drive AI adoption at scale, navigating organisational complexity, change management, and business stakeholder alignment.* Exceptional ...

partner with the commercial leadership to deliver high-value AI-driven opportunities that enhance efficiency, customer experience, and growth. Establish best practices for MLOps, experimentation, model monitoring, and continuous optimisation. Data Engineering & Architecture Oversee the design and delivery of scalable, secure, and modern data platforms, pipelines, and architectures. Ensure data ...

technical or business field. Bonus qualifications Experience with AI accelerators or GPUs LLM fine‐tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary Range £94,500—£115,000 GBP Benefits Summary SambaNova offers a competitive ...

delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale. This is a technical hardware-and-software architect role, not a strategy-only position. … parallel/high-throughput storage, and orchestration Design the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data ...

hybrid in London, moving AI from prototype to production across cloud-native platforms. Responsibilities include AI solution design, cloud engineering on GCP, data, MLOps, Responsible AI governance, and collaboration with underwriters and operations. Strong Python and LLM experience required. #J-18808-Ljbffr ...

major impact across product quality, infrastructure efficiency and technical direction. What we’re looking for 5+ years’ experience within Applied AI/ML/MLOps Strong Python and production AI systems experience Experience with LLMs, Generative AI, prompt engineering or agentic workflows Exposure to AI infrastructure, deployment, evals or optimisation ...

degree or equivalent experience. What Will Make You Stand Out: Experience delivering AI and automation initiatives that drive measurable business value. Knowledge of MLOps, AI governance and responsible AI frameworks. Experience building modern, scalable data platforms and architectures. A track record of leading organisational change through data and digital transformation. ...

optimisation). Experience leading or managing data scientists on impactful ML/optimisation projects. Excellent Python and SQL skills, with clean, maintainable code. Practical MLOps experience (deployment, monitoring, lifecycle management) in a cloud environment (AWS or similar). Comfortable working with large, imperfect datasets and making sound, pragmatic decisions. Familiarity ...

would be advantageous Reinforcement Learning Digital Twins Physics-informed Machine Learning Simulation Modelling Control Systems Optimisation Graph Neural Networks Distributed or Federated Machine Learning MLOps or Production ML MSc or PhD in a relevant discipline Why Apply? Work on genuinely novel AI research with real-world impact. Join a well ...

Build and maintain the model registry and documentation standards: model cards, model risk ratings, validation reports, approval records and change management documentation• Work with MLOps teams to embed governance into the model deployment pipeline: automated validation checks, staging environment requirements and production deployment gates• Manage the model governance committee: chairing ...

platforms, AI‐enabled applications or machine learning solutions into production environments Deep understanding of modern AI architecture patterns and real‐world operational delivery, including MLOps/Evals Strong Python engineering capability and experience working across cloud‐native engineering environments Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems ...

infrastructure strategy for R&D, enabling an integrated ecosystem of Agentic AI solutions. Ensuring robust and scalable delivery of AI capabilities (data foundations, infrastructure, MLOps), with a strong focus on quality, traceability, risk management, and governance readiness. Developing and executing short‐ and long‐term strategies for AI engineering ...

enterprise-scale operating models and shared services environments is beneficial. Required Skills AI & Agent Platforms: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry Data & MLOps: Databricks, Azure SQL, ADLS, Azure AI Search Cloud & Integration: Microsoft Azure, API Management, Containers Identity & Security: Azure Entra ID, Key Vault, RBAC Observability & Governance: Logging ...

multiple projects Its a Plus If You Also Have These Skills Experience building AI platforms or reusable frameworks and patterns Familiarity with LLMOps/MLOps and production evaluation practice Experience embedding AI into core business processes or enterprise systems Experience working in large‐scale or regulated enterprise environments What ...

technical or business field. Experience with AI accelerators or GPUs. LLM fine‐tuning or inference knowledge. Familiarity with SambaNova products or similar MLOps platforms. Enterprise SaaS or PaaS background. MBA or advanced technical degree (preferred). Base Salary Range Base Pay Range EEO Policy SambaNova Systems is an Equal Opportunity ...