101 to 125 of 219 MLOps Jobs in the UK excluding London

generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling … learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your ...

with governance. You will collaborate with stakeholders, promote best practices in SQL, Python, data modelling and AI development, and drive adoption of AI and MLOps to deliver innovative #J-18808-Ljbffr ...

develop GenAI/Agentic AI applications, integrate with tools and data, and ensure secure, reliable production services. The role emphasizes modern AI engineering workflows, MLOps, and scalable cloud deployments on AWS, using Java and/or Python, APIs, and CI/CD. Strong collaboration across stakeholders is essential. #J ...

using LLMs and emerging AI technologies. * Support autonomous capabilities using ROS 2 and similar frameworks. * Implement robust software engineering, testing, CI/CD and MLOps practices. * Support bids, demonstrations, workshops and customer engagements. * Ensure adherence to Responsible AI, cyber security and safety standards. Essential Experience Experience delivering ...

Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). About You We're looking for a Data or Software Engineer who has experience delivering production data solutions and enjoys solving complex data problems. ...

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 ...

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 ...

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 ...

frameworks: OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2 Experience with supervised & unsupervised ML, including CV, NLP, and LLM based systems Experience with ML/MLOps pipelines for AI application development and deployment Solid understanding of ML/DL fundamentals, including CNNs, object detection, segmentation, and related algorithms Understanding of neural ...

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. ...

Rentokil Initial Group is scaling its Group AI Team to deliver production‐grade AI solutions. You will lead engineering, mentor engineers, and drive end‐to‐end implementation of agentic AI systems across global operations. You ...

integration. Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems. Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and responsible AI. Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms. Drive enterprise adoption … Experience with Kubernetes, Docker, Terraform, Bicep, CI/CD, and Infrastructure as Code. Proficiency with GitHub Actions, GitLab, and Jenkins. Knowledge of LLMOps and MLOps, model governance, AI security and guardrails, LangSmith, Arize, and monitoring and evaluation frameworks. Master's degree in Computer Science, AI, Data Science, or related discipline ...

generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling … machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering,customisationand integration Generative and Agentic AI MLOps& cloud computing It’sall live lectures, tutor-led groupworkand real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan ...

generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling … machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering,customisationand integration Generative and Agentic AI MLOps& cloud computing It’sall live lectures, tutor-led groupworkand real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan ...

design, build, and operate the infrastructure that enterprise AI and Generative AI workloads run on: the platform layer beneath LLMs, agents, and MLOps pipelines. This spans GPU-accelerated compute and container platforms, model serving and gateway infrastructure, evaluation and guardrail systems, and the MLOps/LLMOps tooling that takes … operate core AI platform components: model serving and gateway infrastructure, agent orchestration and tool-calling frameworks, evaluation harnesses, and guardrail/governance layers• Implement MLOps and LLMOps pipelines (model deployment, monitoring, retraining, and fine-tuning where relevant) using Infrastructure-as-Code, GitOps, and CI/CD• Establish observability, security ...

C#/.NET services. Performance & Scalability : Optimize GPU/CPU utilization, batching strategies, and memory management. Plan for multi-model and multi-tenant scenarios. MLOps & Lifecycle Management : Implement model versioning, artifact registries, and deployment workflows. Set up monitoring, logging, and alerting for solver performance. Security & Compliance : Apply best practices ...

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 ...

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. ...

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 ...