226 to 250 of 271 MLOps Jobs in the UK excluding London

collaborate across teams to enhance CI/CD, observability, and security. You’ll mentor colleagues, influence cloud patterns, and partner with Security, MLOps, and Product Engineering to deliver scalable, compliant systems. #J-18808-Ljbffr ...

mentoring engineers, delivering MVPs to production, and shaping the AI strategy across the business. You'll work with GCP Vertex AI, LangGraph, LangChain, and MLOps pipelines to ensure scalable, secure, and cost-effective solutions. #J-18808-Ljbffr ...

leaders. You are aligned and accountable.You are comfortable with ambiguity, fast cadence, and ownership. Excuses do not ship parts. Execution does.You have MLOps and production deployment experience at scale.Great plus:Background in composites, advanced manufacturing, aerospace, automotive, or defense.Experience with computer vision applied to automated inspection, generative design, reinforcement learning ...

leaders. You are aligned and accountable. You are comfortable with ambiguity, fast cadence, and ownership. Excuses do not ship parts. Execution does. You have MLOps and production deployment experience at scale. Great plus: Background in composites, advanced manufacturing, aerospace, automotive, or defense. Experience with computer vision applied to automated inspection ...

fine‐tuning foundation models (LoRA/QLoRA), and deploying multi‐agent autonomous systems that have run in production not just proofs of concept. Cloud & MLOps fluency: AWS/GCP/Azure, containerization, serverless architectures, and MLOps/LLMOps tooling (Weights & Biases, LangSmith, MLflow). A product‐first mindset: Fluency with ...

supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into … prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design ...

with the Client Developing and optimising machine learning models, AI architectures, and intelligent automation capabilities. Building and maintaining AI pipelines, model deployment processes, and MLOps capabilities. Collaborating with Data Engineers and key business stakeholders to develop high-value AI use cases. Implementing responsible AI practices, ensuring compliance with governance, security … Python skills and hands‐on experience with ML frameworks and libraries. Experience with Generative AI, LLMs, RAG, and prompt engineering . Strong understanding of MLOps, model deployment, CI/CD, and monitoring. Experience with large datasets, cloud-based data platforms, and ideally Microsoft Azure. Head Resourcing is committed to being ...

infrastructure changes. Azure DevOps Pipelines : Design, build, and maintain secure, high-speed CI/CD pipelines within Azure DevOps to automate code promotion and MLOps workflows. Incident Management : Lead the response, containment, and resolution of critical platform outages, serving as a primary escalation point for high-priority cloud and infrastructure … requirements, post-mortems, and engineering strategies effectively to both technical and non-technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self-service infrastructure tools, deployment templates, and continuous training/inference pipelines to eliminate friction. ...

ensuring alignment with enterprise standards and technology strategy.You will also contribute to the evolution of ScottishPower's AI engineering practices, establishing reusable patterns, improving MLOps capabilities and supporting the adoption of modern cloud-native architectures. This includes AI model deployment, monitoring, automation, CI/CD pipelines and responsible AI practices … expertise in Python and modern machine learning frameworks, alongside experience with cloud platforms such as AWS and Azure. Knowledge of LLM frameworks, RAG architectures, MLOps tooling, container technologies and enterprise data platforms will be highly valued.Beyond technical capability, you will be an effective communicator who can influence both technical ...

deliver an enterprise-grade Microsoft Azure AI Foundry platform in a Leeds-based environment. You will operate across Azure infrastructure, AI platform engineering, security, MLOps and FinOps to establish technical standards and scalable, reusable patterns for AI adoption. The role emphasizes governance, cost management and hands-on engineering leadership ...

Strong working knowledge of ISO 27001 (Information Security Management) and ISO 42001 (Artificial Intelligence Management System). Hands-on understanding of data management principles, MLOps lifecycles, and model auditing. Must have active UK SC clearance (or active DV clearance). #J-18808-Ljbffr ...

leadership, HoITs and service owners; ensure alignment from discovery to go-live.Own the build-to-run handover (including support models, SLAs/OLAs, runbooks, MLOps/monitoring) and maintain the OE relationship post go-live.What you bring Proven experience in steering IT delivery or IT programs and translating business problems ...

. You will bridge the gap between complex enterprise data strategies‐spanning Cloud Migrations, Data Mesh architectures, Real‐time Streaming, and Generative AI/MLOps pipelines‐and precise execution across globally distributed engineering pods of 100+ people. The Impact By pairing technical depth with executive gravitas, you will de‐risk … Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real‐time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands‐on architect. Cloud & Platform Mastery Expertise ...

Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will … Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. ...

lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable … Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including ...

capabilities like anomaly detection, forecasting, predictive alerting, noise reduction, and automated root-cause analysis into the productOperationalise LLM capabilities with strong AI engineering and MLOps, and deliver production-grade LLM features (NLQ over telemetry, summarisation, incident triage, on-call copilots) using prompt engineering, RAG, evaluation, and guardrails; collaborate with … capabilities (e.g., anomaly detection, forecasting, features) including familiarity with LLM APIs, prompting/RAG/embeddings/vector DBs, and the model lifecycle/MLOps basicsFrontend engineering background JavaScript/TypeScript with React/Angular/Vue, building performant, maintainable UIsSolid understanding of SQL/NoSQL and handling time-series ...

expert driving innovation and market-leading practices across multiple clients and industries- Strong understanding of cloud-centric solution design, the full data lifecycle, and MLOps/AIOps- Experience mentoring engineers and architects, building capability in junior team members and client counterparts- You will be required to hold active SC clearance … healthcare orsimilar)- Experience with modern data warehouse and lakehouse ecosystems (Redshift, Snowflake, Databricks, BigQuery, Synapse)- Familiarity with SQL and Python or Java- Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services- Strong understanding of CI/CD and modern approaches ...

Role: Head of Data Engineering Location: Manchesterbased office – Hybrid working Package: £90k OTE PHMG is continuing to develop and mature its data capability, focusing on modernising our data platform and enhancing the way we work. ...

This is an exciting opportunity for someone who is passionate about technology, data, and machine learning, and is eager to contribute to a forward-thinking, collaborative environment.The Data Scientist will be responsible for building and ...

acceleration platform that enables complex workloads to run faster, more efficiently, and at significantly lower cost than traditional approaches.This is an opportunity for an MLOps Engineer to join a highly talented team to develop a breakthrough computing platform with the potential to transform large-scale AI deployment.What they're looking … MLOps experience- building and maintaining production ML pipelines ML infrastructure expertise- experiment tracking, model management, and deployment Strong Python skills- experience with PyTorch, JAX, or similar frameworks Platform engineering- Docker, Kubernetes, Slurm, and distributed systems CI/CD knowledge- automating testing, validation, and deployments Performance optimisation- profiling and benchmarking ...

business insights. You will mentor engineers, collaborate with data scientists, analytics engineers, product managers and developers, and uphold responsible AI practices while advancing our MLOps maturity. The role is based at Chester HQ with hybrid working. #J-18808-Ljbffr ...

place where everyone can grow, develop and fulfil your potential with meaningful careers.The Role:We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining … architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards.You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. ...

place where everyone can grow, develop and fulfil your potential with meaningful careers. The Role: We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable … defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross ...

Engineering Glasgow/Remote Consultant Contract As a Senior DevOps/MLOps Engineer at Kodamai, you will own the end-to-end infrastructure strategy, from setting up and maintaining our GCP-based internal environments to advising clients on optimal deployment architectures. You will design, implement, and continuously improve the pipelines … . Ensure high pipeline reliability, fast feedback loops, and clear rollback mechanisms. Champion DevOps best practices across engineering teams - documentation, runbooks, and post-mortems. MLOps Support the operationalization of ML models - model versioning, experiment tracking, and deployment workflows. Work with data science teams to configure MLOps tooling such as Vertex ...

pipelines and Azure-deployed services for PE and professional services clients. Suits an experienced AI or software engineer with advanced Python, agentic frameworks and MLOps skills. Europe (Remote), Europe (Remote), United Kingdom Contract Location: Brighton (Hybrid)/Europe (Remote) Position: Full-Time, Permanent Join our engineering team building applied … pipelines and Azure-deployed services for PE and professional services clients. Suits an experienced AI or software engineer with advanced Python, agentic frameworks and MLOps skills. Brighton, Sussex, United Kingdom Full Time Position: Full-time, permanent, remote-first (UK preferred, with easy access to London; open to Northwestern Europe ...