326 to 350 of 635 MLOps Jobs in the UK

information and KPIs. Lead, support and encourage initiatives to modernize BAU through AI and data science : automate repetitive tasks, implement workflow optimization, and deploy MLOps practices for reliable model lifecycle management. To be successful in this role, we're seeking the following: High attention to detail with a desire ...

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 ...

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 ...

areas including: Artificial Intelligence and Machine Learning Data Science and advanced analytics Generative AI and Large Language Models Modern AI/ML engineering practices MLOps and production AI Emerging technologies and developments across the AI landscape You'll work with technical audiences ranging from engineers and data professionals through ...

degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsTrack record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etcExperience monitoring, maintaining, enhancing existing models over an extended time periodSpecialism in NLP or Computer VisionSolid understanding of fundamentals ...

AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience with Retrieval-Augmented Generation (RAG) architectures and Machine Learning Operations (MLOps). Strong stakeholder engagement skills, with the ability to communicate technical solutions clearly to both technical and non-technical audiences. It would be great ...

technical or business field. Bonus qualifications Experience with AI accelerators or GPUs LLM fine‐tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary Range £94,500—£115,000 GBP Benefits Summary SambaNova offers a competitive ...

multi cloud with strong AWS depth). Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments ...

multi cloud with strong AWS depth). Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments ...

workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype ...

workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype ...

workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype ...

workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype ...

technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience ...

Engineering, Telecommunications, Computer Science, Artificial Intelligence or a related discipline, or equivalent practical experience. Professional certifications or continued learning in AI, machine learning, MLOps or AI safety. What's in it for you? Competitive salary and bonus opportunity. 25 days annual leave with the option to purchase ...

robotics, or a related field Authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, TPAMI) Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance An understanding of different sensor modalities, their trade-offs ...

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) Why Zempler Bank What ...

product portfolio (e.g. intelligent automation, decision support, anomaly detection and AI-driven insights for air-cargo customers), and own the platform foundations (data, MLOps/AI tooling, inference hosting and cost) that make this possible. Keep the organisation current as AI engineering practices evolve and build the team ...

MLOps Technical Manager West London, UK (Hybrid – 2-3 days on-site)| Permanent About the Role We're recruiting on behalf of a major, well-established organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with … scalability, reliability, and alignment with business goals Drive the ongoing migration from MLflow to AWS SageMaker, maintaining continuity and minimising disruption Define and enforce MLOps best practices across model training, serving, monitoring, and deployment MLOps & Engineering Design and maintain scalable ML infrastructure supporting batch and real-time environments Oversee ...

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 ...

Marlin Selection Ltd seeks an expert in ML-driven forecasting to develop and productionise time-series models for energy generation. You will build forecasting pipelines, collaborate with data engineering to onboard data feeds and monitor ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...