351 to 375 of 409 MLOps Jobs in London

LEGO Group seeks a Senior MLOps Engineer for a 16-month parental cover to bring ML models into dependable production environments. You will connect data science, data engineering and software engineering to deliver reliable solutions that scale while preserving stability. The role focuses on deployment, monitoring and risk management across ...

JPMorgan Chase in London seeks a Lead MLOps Platform Engineer to design a scalable ML platform for training, deployment and monitoring. You will work with data scientists and engineers, driving product-enabled fintech solutions across squads and mentoring teammates on best practices. You will leverage cloud, CI/ ...

About Unifeye Unifeye is a delivery-led, Databricks-first consultancy helping organisations unlock the full value of their data and AI. We're a lean, high-growth team based in London, working at the intersection ...

An AI Solution Architect is responsible for designing and overseeing the implementation of technical solutions, specifically those involving how we build and operate with AI. The role exists within our Corporate function to enforce keeping ...

Senior Solutions Architect, Data & AI, AGS UKI Data & AI Solutions Architecture Job ID: 10581665 | AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is seeking an experienced Senior Solutions Architect to join our Data & AI ...

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering ...

Senior Data Scientist £75,000 + benefits | Holborn, London | Office-based Monday-Thursday Build AI-powered products that turn customer data into commercial impact. Join an established analytics and technology business developing cutting-edge SaaS ...

LEGO Group is seeking a Senior MLOps Engineer for a 16‐month parental cover in London. You will drive production deployment, monitoring, and reliability of customer-focused ML solutions, working with data science, data engineering and software engineering teams. You’ll help evolve our ML operations framework, align deployment decisions ...

EPAM Systems, Inc. in London is seeking an MLOps Engineer to build, deploy and maintain production-ready ML solutions with strong CI/CD and cloud infrastructure focus. You will work on ML lifecycle tooling, model serving, monitoring and extend capabilities toward LLMOps, RAG and agentic AI workflows. You will ...

Checkatrade is hiring an MLOps Engineer to own how ML/AI run in production. You will turn data scientists' models into live, reliable services and build secure foundations for AI workloads. Reporting to Head of Data Engineering, London (hybrid) or Barcelona (on-site). You will deploy, monitor ...

About the Job you are considering:We are seeking experienced Cloud MLOps Engineer Databricks Specialist with strong expertise in Banking domain who will overseeing the planning, execution, and successful delivery of projectsHybrid working:The places that you work from day to day will vary according to your role, your needs … sites, and your home; noting that you will be unable to work at home 100% of the time.Your Role:Purpose Implement ML workloads and MLOps capabilities on the Global AI PlatformConfigure and optimise Databricksbased ML development and deployment frameworksImplement model training deployment monitoring and governance capabilitiesAdapt or develop frameworks required ...

build and deploy production-grade ML solutions, spanning the full ML lifecycle from experimentation to deployment and monitoring. The role focuses on Generative AI, MLOps, and scalable production systems, with emphasis on performance optimisation and close collaboration with software engineering and AI teams. #J-18808-Ljbffr ...

knowledge-graph retrieval, partnering with product, data science, and Responsible AI teams to deliver scalable, governed systems using cloud platforms and industry-standard MLOps tools. #J-18808-Ljbffr ...

MLOps Engineer (Platform/DevOps) - AI Platform - 3 days per week onsite We're partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps/Platform Engineer to build and scale infrastructure supporting advanced AI solutions. The Role You'll play a key role ...

Capgemini is seeking an experienced Cloud MLOps Engineer Databricks Specialist to lead ML workloads and MLOps on the Global AI Platform. You will configure Databricks-based development and deployment frameworks, implement model training, deployment monitoring and governance, and build CI/CD pipelines for ML lifecycle management. You will drive ...

reliable production use. Working as part of our Enterprise AI team, you'll sit at the intersection of DevOps, cloud engineering, AI and MLOps , helping us create the technical foundations that allow AI solutions to be deployed effectively across the organisation. This is a great opportunity for someone with … capabilities across cloud and hybrid environments, giving you the opportunity to work with a broad range of technologies while developing expertise in AI platforms, MLOps and responsible AI delivery . What you will be doing Configuring and maintaining secure, scalable environments and services for AI workloads. Building repeatable deployment processes ...

workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute … driven role where you apply and deepen your expertise across modern tools and platforms — including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring — while making meaningful contributions to infrastructure that enables AI-driven business outcomes. THE WORK Write, review, and debug code, scripts, and infrastructure ...

implementation and delivery. Provide technical governance and oversight across multiple AI initiatives. Define approaches for prompting, RAG, fine-tuning, evaluation, and AI guardrails. Establish MLOps and LLMOps capabilities to ensure solutions are scalable, observable, secure, and production-ready. Create architectural standards, reusable frameworks, and best practices across the AI practice. … Large Language Models, agent frameworks, orchestration patterns, and API-driven architectures. Strong cloud platform and modern software engineering experience. Hands-on expertise in MLOps/LLMOps, including deployment automation, monitoring, evaluation, and optimisation. Strong Python development skills and the ability to prototype and validate technical approaches. Experience balancing multiple projects ...

enterprise sales cycles and co‐own the technical win Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path Architect, build, and deliver highly‐technical, customised product … delivery in a complex enterprise sales environment Proven track record of earning trust with highly technical audiences (ML engineers, MLOps, data engineers) while communicating value clearly to senior business stakeholders Experience navigating enterprise security, compliance, and architecture reviews as part of a technical sales or implementation process Prior experience ...

accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that … been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you\'ve worked alongside or directly supported ...

discovery, consulting and solution conversations from initial opportunity through to delivery. AI engineering excellence. Setting high standards across architecture, engineering, testing, CI/CD, MLOps/LLMOps, evaluation, security and AI governance. Production AI. Ensuring solutions move beyond experimentation into reliable, scalable and governed production environments. Solution design. Challenging architecture … prototype through to reliable production use. Strong software engineering fundamentals including system design, APIs, version control, automated testing and CI/CD. Experience of MLOps/LLMOps and operating AI systems in production. Experience with modern cloud AI technologies and platforms. Led engineers building AI systems while retaining strong technical ...

reliable, well-monitored, cost-effective models in production - deployment, retraining, monitoring and governance - and the service levels (SLAs) of the ML organization. Partnering with MLOps infrastructure team. Partner across the company. Translate commercial strategy into an ML roadmap with Product, Engineering, Design, and Analytics leadership; represent ML in executive planning … across Product and Engineering and shaping strategy, not just execution. A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics — A/B testing, causal inference, and rigorous measurement ...

We're one of Europe's fastest-growing fintech companies – on a mission to create the world's most empowering way to pay. We launched the product in 2020 and achieved double unicorn status, valued ...

TL;DR: We're looking for a Data Labeling Lead to build our annotation team from zero – setting quality standards, designing evaluation frameworks, and running the labeling operations behind our safety evals, RLHF, and benchmarks. ...

Radiant is redefining AI infrastructure with a senior/principal Product Manager - MLOps who owns strategy, roadmap, and delivery of the ML platform and cloud services. You will collaborate across GPU compute, training, inference, orchestration, model lifecycle, tooling, observability, and platform integrations with engineering, SRE, security, commercial teams, and customers. ...