301 to 325 of 698 MLOps Jobs in the UK

architectures Qualifications 7+ years in enterprise architecture or AI/ML engineering Experience with cloud environments (AWS, Azure, GCP) Knowledge of AI governance and MLOps tools Work Environment A truly hybrid and flexible working environment, with the chance to shape how AI-driven advisory is delivered — working on cutting-edge ...

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 ...

technology services or consulting environmentsProven track record delivering complex data, analytics or AI programs at scaleHands-on experience with AI/ML delivery including MLOps, data pipelines and AI SDLC frameworksAdvanced stakeholder management skills with experience engaging C-level executives and engineering teamsFamiliarity with multi-geography delivery models and distributed ...

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 Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle‐to‐work ...

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 ...

practices CI/CD pipeline management Infrastructure as Code (IaC) Nice-to-Have Hands-on experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow ...

operations. Measure and demonstrate the value delivered by analytical solutions. What you'll bring Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, Data Scientist or similar quantitative role. Experience supporting the development, deployment or operation of forecasting, optimisation or machine learning models within a business environment. Strong Python ...

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 ...

skills Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus ...

skills Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus ...

/GenAI/Agentic AI topics. Open-source contributions, including maintaining or meaningfully contributing to ML/GenAI GitHub repositories (libraries, tooling, eval harnesses, MLOps components). Experience with ML accelerators and performance optimization (e.g., GPUs/TPUs), including profiling, distributed training, and inference optimization. #J-18808-Ljbffr ...

related field, or equivalent practical experience. Desirable Experience with financial services or other regulated industries. Contributions to open-source projects. Experience with MLOps and the deployment of machine learning models. What we’ll provide you This is a unique role that will put you in the position to be part ...

delivering successful, production-scale machine learning solutions (ideally on AWS SageMaker)**.You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. This is a hands-on lead role requiring recent expertise in building, deploying, monitoring ...

insight). Position AI Agents within the context of the industry, and explain how data proximity, governance, and operational coherence (e.g., Machine Learning Operations [MLOps]) on Vertex AI create an engaged advantage. Leverage a team of Field Sales Representatives and Customer Engineers, and activate Partners to scale industry-specific plays ...

technical command of modern AI application architecture and lifecycle engineering, including generative and agentic AI, retrieval and grounding, integration, human-in-the-loop design, MLOps, LLMOps or AgentOps, observability and operational support. Practical experience of responsible AI, evaluation, risk tiering and controls in environments where security, safety, privacy, resilience, auditability ...

required to prevent recurrence. Deep expertise in Kubernetes, alongside experience operating infrastructure across hybrid on-premises and cloud environments. Experience building, running or evolving MLOps infrastructure, ideally including notebook environments such as Kubeflow, GPU compute for distributed training and model serving. Familiarity with batch compute for data-intensive scientific workloads ...

including an understanding of performance, scaling and system architecture Strong programming skills in Python, with familiarity with ML frameworks and development workflows Experience with MLOps or production-oriented workflows, including environment management, reproducibility and deployment considerations Nice to have Experience training or optimizing ML systems Experience solving optimisation/MILP ...

SanTalk solutions, including experimentation, business readiness, testing, deployment, adoption, maintenance and transition into business-as-usual support. Provide technical direction to Data Scientists, Engineers, MLOps specialists and Product Owners, ensuring solutions are scalable, reliable, secure, maintainable and production-ready. Own the ongoing performance and continuous improvement of deployed solutions, defining ...

SanTalk solutions, including experimentation, business readiness, testing, deployment, adoption, maintenance and transition into business-as-usual support.* Provide technical direction to Data Scientists, Engineers, MLOps specialists and Product Owners, ensuring solutions are scalable, reliable, secure, maintainable and production-ready.* Own the ongoing performance and continuous improvement of deployed solutions, defining ...

develop expertise across a range of software engineering disciplines, including front-end development, site reliability engineering, data engineering, solutions architecture, machine learning operations (MLOps), user experience (UX), Agile delivery and cloud engineering. You’ll also benefit from mentoring, coaching and collaboration with experienced engineers, helping you broaden your technical knowledge ...

National Gas Transmission PLC in the United Kingdom is seeking a Senior Data Scientist to develop advanced analytics, forecasting and ML solutions that support the safe and efficient operation of Britain's gas transmission network. ...

Ricoh is seeking a DevOps Engineer for Enterprise AI to configure, integrate and operate AI platforms across cloud and hybrid environments. You will work with AI specialists, data scientists and engineers to build secure, scalable ...

KDR Talent Solutions Ltd seeks an experienced ML Engineer to drive end-to-end ML development, including pipeline building, model deployment, and ML Ops. You will collaborate with cross-functional teams to integrate ML into ...

Aioi Nissay Dowa Europe is seeking a Senior Software Engineer 1 (ML Ops) to design, build, and operate cloud infrastructure for a privacy-preserving AI research programme. You will contribute to model hosting, training infrastructure ...

Proximie Limited is hiring a machine learning engineer to own the training and deployment infrastructure for our production ML models. You will manage the training and inference workloads on AWS SageMaker, build reproducible training runs ...