51 to 75 of 89 MLOps Jobs in the UK excluding London

commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across various fields. #J-18808-Ljbffr ...

Unity Catalog, governance, RBAC and platform security Experience improving platform reliability, scalability and developer experience Desirable: Databricks Asset Bundles (DABs) Azure DevOps, MLflow and MLOps exposure This role will focus on building scalable platform capabilities, enabling domain-led data products, and driving best practice across a modern data ecosystem. ...

cloud platforms and modern data architectures Proven ability to design and govern large-scale data and AI solutions Experience with CI/CD, MLOps and infrastructure-as-code approaches Confident communicator able to work with both technical and non-technical audiences Eligible for SC clearance (5+ years continuous UK residency ...

Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling … stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with ...

technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally … data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days ...

MLOps Platform Manager (Databricks) London £550-£650 Outside IR35 Per Day Fully Remote Start date: ASAP The Company They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform … estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work. The Role and Deliverables Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance ...

monthly billing Promotion to Consultant within 6 months based on performance Structured, hands-on training from experienced AI recruiters Strong market demand across GenAI, MLOps, and data science Year 1 OTE £40k, Year 2 £50k, Year 3 £65k Early exposure to founders and technical hiring managers Clear targets and transparent ...

infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

Develop agentic workflows across areas like underwriting and claims Work closely with business stakeholders to define requirements and shape solutions Deploy models using modern MLOps practices (APIs, microservices, CI/CD, containers) Collaborate with engineers, product teams, and senior stakeholders across the business Tech stack Python & SQL (essential) GCP (preferred … flexible depending on experience) LLMs/GenAI/RAG/agentic frameworks (LangChain, LlamaIndex etc.) MLOps tools: Git, CI/CD, Docker, Kubernetes, APIs What you bring Core requirements 5+ years in data science/machine learning Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling) Hands-on experience ...

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. ...

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 ...

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 ...

Develop generalisable, multi-task manipulation policies Advance RL pipelines for fine-tuning beyond imitation learning Build sim-to-real transfer workflows Collaborate across perception, MLOps, and robotics teams Contribute to research direction and publish at top-tier venues Requirements MSc/PhD in ML, Robotics, Computer Science or similar Strong ...

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 ...

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 ...

experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Provide hands on technical leadership, contributing to architecture decisions and best practice. … delivery focused partner to stakeholders, confidently explaining trade offs and recommendations. Your Skills & Experience Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background. Proven ability to deploy, operate and maintain machine learning systems in production. Hands on experience with cloud based data ...

Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most ...

Data Scientist (MLOps/GenAI Focus) Location: Bristol | Salary: Competitive + Benefits Join a cutting-edge AI team working at the forefront of GenAI, MLOps, and secure cloud deployments within highly regulated environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building … based systems Acting as the SME for ML engineering and deployment Tech Focus Python, Docker, Linux, Git AWS or Azure CI/CD and MLOps pipelines Exposure to RAG, computer vision, or multimodal AI Why Apply? Work on next-generation AI use cases Strong focus on innovation and career progression ...

Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol | Onsite/Hybrid | Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most … programmes, only candidates holding active UK Developed Vetting (DV) clearance can be considered for this role . This opportunity sits at the forefront of MLOps, machine learning, and GenAI , working within a specialist team delivering high-impact solutions in complex, high-assurance environments. The position combines hands-on engineering with ...

Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol | Onsite/Hybrid | Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most … programmes, only candidates holding active UK Developed Vetting (DV) clearance can be considered for this role . This opportunity sits at the forefront of MLOps, machine learning, and GenAI , working within a specialist team delivering high-impact solutions in complex, high-assurance environments. The position combines hands-on engineering with ...

solutions and operating models across multi-cloud and hybrid estates-selecting services based on client constraints, risk posture and total cost. Proven in MLOps frameworks, delivery governance from strategy to production, compliance and enterprise standards. Generative AI & LLM Architecture: RAG systems, embeddings, prompt orchestration, tool/function calling, evaluation, safety … guardrails Cloud Architecture (multi-cloud): GCP (Vertex AI, BigQuery, GKE), Azure (Azure OpenAI, Azure ML, AKS), AWS (SageMaker, Lambda, API Gateway) AI DevOps/MLOps: CI/CD, Terraform/IaC, model & prompt versioning, LLM evaluation (LLM-as-Judge, RAGAS), monitoring/observability (Langfuse), cost optimisation Delivery Governance: programme planning ...

/ML Infrastructure Engineer (MLOps) – Robotics - Hybrid in Bristol We’re working with a cutting-edge robotics company building intelligent systems capable of learning real-world physical tasks. They’re now hiring an AI/ML Infrastructure Engineer to own the end-to-end infrastructure that powers model training, data … real-world robotic systems. This is a highly technical role sitting at the intersection of machine learning, distributed systems, and robotics - not a generic MLOps position. Key Responsibilities: Build and scale GPU-based training infrastructure for large ML workloads Develop robust data pipelines for multi-modal datasets Own experiment tracking ...

helping to build out the wider ML function. You'll operate as a hands-on technical leader, setting best practice across ML pipelines, MLOps, and data products while working closely with Data Scientists, Engineers, and senior stakeholders. Key responsibilities include: Leading and championing ML Engineering as a core capability across … organisation Designing, building, and productionising end-to-end ML pipelines aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine ...

MLOps Platform Manager (Palantir) London Rate: £550-£650 Outside IR35 Per Day Work Type: Fully remote Start: ASAP The Company They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex … central platform function focused on operational excellence. The Role and Deliverables Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience. Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks. ...

solutions (forecasting, optimisation, predictive models, etc.) Ensure solutions are scalable, secure and aligned to governance and regulatory standards Lead best practice across MLOps, model governance and lifecycle management Work with complex healthcare data to deliver meaningful, real‐world impact Skills & Experience Essential Strong technical background in AI/ML (Python … cloud – Azure/GCP/Snowflake) Experience with MLOps, scalable ML infrastructure and model governance Strong stakeholder management – able to influence both technical and non‐technical audiences Experience working closely with business teams, aligning AI solutions to priorities Experience building and developing data teams, including capability frameworks Curious, adaptable, accountable ...