351 to 375 of 705 MLOps Jobs in the UK

Required: Demonstratable years' experience in a Data Scientist position Strong Python development skills with experience building and deploying machine learning solutions Experience working with MLOps frameworks and best practices Strong understanding of CI/CD principles and deployment processes Experience developing, tuning, testing, and optimising machine learning models Good understanding ...

optimisation The ability to debug and improve model performance systematically Also Valued Knowledge of distributed training or large‐scale data processing Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning) A background in applied research or publishing Familiarity with retrieval systems, embeddings or ranking models Ideally ...

unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates are not expected to have experience across every area. Alongside ...

optimisation The ability to debug and improve model performance systematically Also Valued Knowledge of distributed training or large-scale data processing Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning) A background in applied research or publishing Familiarity with retrieval systems, embeddings or ranking models Ideally ...

Hampshire base and for possible European client travel. Preferred Qualifications Experience conducting formal estate assessment, discovery, or technical due diligence work. Experience with MLOps or model lifecycle tooling such as MLflow, model registries, or feature stores. Experience with workflow orchestration tools such as Airflow, dbt, or Databricks Workflows. Experience with ...

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 ...

deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js/TypeScript). Ability to explain ...

infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

development through to production. Security, scalability, maintainability, data protection, and production readiness are key priorities throughout the project. Role Purpose As a DevOps and MLOps Engineer, you will build and operate the delivery pipelines, environments, and runtime platform the project depends on, as well as the model-serving path. ...

plus if you also have these skills**· Experience contributing to AI platforms or reusable frameworks and patterns· Familiarity with LLMOps/MLOps and production evaluation practices· Experience embedding AI into core business processes or enterprise systems· Experience working in large-scale or regulated enterprise environments* 26 days holiday, rising ...

Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual Company Bonus Based on company performance 25 Days holiday not including bank holidays ...

Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual Company Bonus – Based on company performance 25 Days holiday not including bank holidays ...

solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy. Stakeholder ...

networks, graph-based and sequence-based architectures Providing technical leadership to raise levels of expertise and best practices, including mentoring others Working with the MLOps team to drive tooling for rapid model iteration and lifecycle optimisation You should apply if What we’re doing at Monzo excites you. Multiple-year ...

networks, graph-based and sequence-based architectures Providing technical leadership to raise levels of expertise and best practices, including mentoring others Working with the MLOps team to drive tooling for rapid model iteration and lifecycle optimisation You should apply if What we’re doing at Monzo excites you. Multiple-year ...

datasets to solve business challenges. Experience within insurance, financial services, or another regulated environment would be beneficial, as would exposure to cloud platforms (AWS), MLOps, GenAI technologies, or equivalent relevant experience. Whatyou'llget for this role: Our purpose - with you today, for a better tomorrow - is a promise we make ...

tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Comfortable working ...

Experience using Python and R to develop and deploy models in cloud environments (Azure experience is advantageous). Understanding of machine learning lifecycles and MLOps principles. Experience working with databases, APIs and collaborative development tools. Sharp problem‐solving and analytical skills, with attention to detail and sound judgement. Confident communication ...

benchmarks to elevate engineering excellence across the team. Partner with Sales and Tech Leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts. Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build ...

plus) and SQL; rigorous evaluation (MAE/RMSE, MAPE, pinball loss) Experience productionising models (APIs/batch jobs), experiment tracking (e.g., MLflow) and basic MLOps Being able to evaluate the right tools for the job given business requirements & experiment with new ways of doing things to continuously improve Comfort combining ...

. Python programming experience is necessary. AI experience consisting of building advanced AI workflows with tools like LangChain, LangGraph, etc. and experience with MLOps tools/environments. Not required but experience with container orchestration (e.g. Kubernetes) and CI/CD pipeline integration is helpful. Proficiency in articulating technical concepts ...

quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity or scoring models that integrate into CRM/CS platforms Familiarity with industrial software or enterprise SaaS ...

quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity or scoring models that integrate into CRM/CS platforms Familiarity with industrial software or enterprise SaaS ...

environment Prior experience working with highly imbalanced datasets for binary classification problems Event streaming data engineering tools such as Flink or Spark Experience with MLOps and tools such as Airflow, BentoML and MLFlow Use of Docker CI/CD and SDLC (e.g. JIRA, Git, Jenkins, Octopus) Job type Permanent Skills ...

model lifecycle: problem framing, feature representation, model development, validation, deployment, monitoring, and iteration. Partner closely with Risk Strategy, Operation, MLOps and Data Engineering to ensure models are scalable, explainable, and production-ready in real-time or near-real-time environments (e.g. AWS SageMaker) Act as a technical authority for advanced ...