176 to 182 of 182 MLOps Jobs in the UK

ML Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data ...

PRINCIPAL DATA ENGINEER £80,000 + BENEFITS LEEDS (Hybrid) Looking for a role where you can truly influence how data engineering is done-while still getting stuck into the tech yourself? THE COMPANY: I'm ...

As the Presales AI Solutions Architect within our AI Practice, you'll play a key role in technological advancement, developing a team and leading successful projects in all UK sectors. You will have the opportunity ...

ingestion pipelines to the deployment of advanced GenAI models. This is a hands-on leadership role requiring a deep understanding of modern data architecture, MLOps, and the orchestration of agentic workflows. Key Responsibilities Lead Delivery: Oversee the end-to-end lifecycle of data-intensive platforms and AI solutions aligned with … architecture. Technical Direction: Provide guidance across cloud engineering, data modeling, and ML model monitoring. Engineering Excellence: Enforce best practices in coding standards, DevOps/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs for engineering teams. Innovation: Evaluate emerging GenAI/LLM tech ...

external presence. 12 months: DS is a recognised, embedded function with a track record of delivery. Experimentation is a working discipline used beyond DS. MLOps maturity has stepped up. The team has grown in line with what was needed to get here. What You Bring Must‐Haves 4‐5 years … Haves Experience in the marketplace, SaaS, or fintech businesses. Familiarity with our stack: SageMaker, Snowflake, dbt, Docker. Built or contributed to feature store, MLOps, or experimentation platform infrastructure. Experience in establishing experimentation and A/B testing as an organisational practice. Thought leadership – blog posts, talks, open‐source contributions. Experience ...

This hybrid role involves leading the design of ML platforms and infrastructure, ensuring effective deployment and monitoring of models. The ideal candidate has extensive MLOps experience, strong software engineering skills, and familiarity with cloud platforms such as GCP. Join a diverse team at iProov, working at the intersection of technology ...

proof of concept into scalable production systems Align machine learning initiatives with product, commercial, and operational goals Advise on architecture across LLMs, agentic systems, MLOps, data pipelines, and model deployment environments Support leadership teams with AI roadmap prioritisation, delivery oversight, and capability planning Improve collaboration between product, data, and engineering … 10+ years of experience across machine learning, AI, or data-driven environments Experience leading ML teams within production-scale businesses Strong understanding of LLMs, MLOps, AI platform architecture, and scalable ML systems Experience operating within high-growth SaaS, AI-native, TechBio, or data platform businesses Ability to connect technical ...

hiring for - Senior MLOps/Python Cloud Engineer job location : London UK Job Type : Permanent job details: We are hiring a Senior MLOps/Python Cloud Engineer The project centres on building a next-generation parametric pricing engine taking a robust Python prototype and transforming it into a production-grade ...