651 to 675 of 707 MLOps Jobs in the UK

business. Bridge our Machine Learning, Product and Platform Engineering capabilities We have an extremely talented pool of full-stack machine learning and MLOps engineers and an exceptional platform engineering team. We need software 'glue' expertise and capability to bring these two things together optimally. With our other software engineers … startup or small team Are confident using AWS and Kubernetes Experience with workflow orchestration systems (e.g. Temporal) Can venture into Data Engineering, MLOps and/or Platform Engineering About us Unitary is a remote‐first team of 25+ people spread across Europe who are fiercely passionate about making the internet ...

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 … Establishing engineering standards and operational excellence. Implementing feature stores, Lakehouse architectures, and enterprise data quality frameworks. Coaching engineers, reviewing designs, and driving technical direction. MLOps, Deployment & Operations Deep hands‐on experience with SageMaker Pipelines, Training, Processing, Model Registry, Endpoints, Monitoring, and deployment workflows. CI/CD, infrastructure as code, model ...

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 ...

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. ...

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 ...

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you ...

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. ...

operate AI infrastructure for enterprise AI workloads. You’ll work across hybrid and multi-cloud environments, delivering GPU-accelerated compute, model serving, and MLOps tooling while guiding clients through transformations. You will lead architecture reviews, workshops, and implementation of observability, security, and governance frameworks for AI systems. #J-18808-Ljbffr ...

Recruitment Limited is partnering with a leading organisation on a high-profile AI initiative to recruit an experienced MLOps/Platform Engineer. You will design, deploy, and operate a secure, scalable platform for AI workloads and agents, working closely with Data Science and Engineering teams to ensure robust infrastructure ...

powering forecasting solutions, working with data scientists and platform partners to productionize models and maintain high-availability production systems. You will design and operate MLOps pipelines, deployment workflows, and runtime infrastructure across cloud environments, aiming for performance, scalability, and cost efficiency. #J-18808-Ljbffr ...

owning deployment, monitoring and retraining, and building reusable components on the semantic layer. You will work with Data Scientists and Data Engineers to shape MLOps practices, implement CI/CD pipelines, monitor data drift, and optimize cost and performance of the model estate in a hybrid London office environment. #J ...

Junior DevOps/MLOps Engineer We are looking for a Junior DevOps/MLOps Engineer to help build, automate and maintain the infrastructure and pipelines that deliver software and machine learning models into production. Working alongside software and AI engineers, you will support reliable deployments, improve automation and help ensure ...

technologies that businesses can use to automate tasks and gain insights from their data. Key responsibilities include building complex models, designing and managing MLOps pipelines for CI/CD, monitoring, and model retraining. Mentoring junior members, influencing technical decisions within the team, and handling complex, non-routine problems. Our work … deploy complex machine learning models, ensuring high standards of quality, performance, and scalabilityDecide what model is most suitable for use in products and services MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining, to ensure efficient ...

technologies that businesses can use to automate tasks and gain insights from their data. Key responsibilities include building complex models, designing and managing MLOps pipelines for CI/CD, monitoring, and model retraining. Mentoring junior members, influencing technical decisions within the team, and handling complex, non-routine problems. Our work … deploy complex machine learning models, ensuring high standards of quality, performance, and scalabilityDecide what model is most suitable for use in products and services MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining, to ensure efficient ...

CoreWeave is seeking an experienced MLOps Engineer to own the end-to-end ML lifecycle—experimentation, training, packaging, deployment, serving, and retirement. You will define MLOps practices, establish SLOs/SLAs, and build automated CI/CD and continuous training pipelines for production readiness. You will implement observability, data/ ...

work across the full ML lifecycle, from experimentation and development through to deployment, monitoring and optimisation in production. You’ll help establish robust MLOps practices and ensure Machine Learning services are scalable, reliable and performant. There will also be a strong focus on performance and optimisation, including improving Python workloads … with frameworks Experience building and deploying Machine Learning models in production Experience working with Generative AI and modern Machine Learning technologies Strong understanding of MLOps, CI/CD and model deployment Experience building APIs for Machine Learning If you’re a Senior Machine Learning Engineer who enjoys taking sophisticated Machine ...

will develop, test, deploy, and enhance platform capabilities, resolve issues within existing analytics services, and provide hands-on engineering support to Data Scientists and MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges, requiring strong problem-solving … lifecycle. Design, develop, test, and deployment of a new analytic hosting platform. Bugfixes and feature requests for existing mission facing analytics. Engineering support to MLOps engineers and Data Scientists. These are unpredictable and highly variable requirements, potentially using unfamiliar technology, so a flexible style is required. In this role ...

research or AI engineering, including hands-on work with LLMs, model fine-tuning and agentic systems. Experience with computer vision, model evaluation frameworks and MLOps practices would be highly beneficial. This is an excellent opportunity for someone who thrives in a fast-paced environment and wants to work on genuinely … Strong experience with LLMs, prompt engineering and model fine-tuning Experience building, testing or deploying agentic AI systems Knowledge of model evaluation, benchmarking and MLOps best practices Passion for emerging AI technologies and solving real-world problems Reference Number: BBBH(phone number removed) Rise Technical Recruitment Ltd acts an employment ...

Infrastructure Associate Engineer role focusing on storage and networking, you’ll need: Domain knowledge in 1 or more areas from SysOps, NetOps, DevOps, SecOps, MLOps or Research Software Engineering. Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with … member of diverse, technical teams and to follow operational procedures. Domain knowledge in 1 or more areas from SysOps, NetOps, DevOps, SecOps, MLOps or Research Software Engineering. Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with a high degree ...

agentic AI, including memory, tools/skills, data access and integration with your client's governed data platform Design and oversee AI/MLOps lifecycle capabilities, including monitoring, tracing, evaluation, operational readiness and controlled transition into production Define and guide API-first and MCP-based integration patterns, including secure access … experience with Microsoft Copilot capabilities including Cowork, Agent Mode, Agent Builder, Copilot Studio and Power BI You understand agentic AI architecture patterns, AI/MLOps lifecycle requirements, monitoring and evaluation, and the transition of AI solutions into controlled operations You have experience with MCP/API-first development practices ...

Parser Limited is seeking an experienced MLOps Technical Manager to lead the design, architecture, and delivery of ML infrastructure across backend and frontend, while guiding a 5+ engineering team. The role focuses on deploying scalable ML systems, migrating MLflow to AWS SageMaker, and enforcing MLOps best practices, with collaboration across ...

Sopsai is seeking a Machine Learning Engineer in Greater London to frame, model and ship ML solutions that drive client profitability. You will translate business challenges into modelable solutions and deploy advanced ML algorithms. Ideal ...

Klarna, brieflyAt Klarna, we're building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most ...

Senior Data Science Manager – Strategic Data Solutions Cambridge, Massachusetts, United States Corporate Functions Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder ...

Engineering Lead to design and deploy scalable ML systems for legal content products. You will act as SME for ML/AI, guide architecture, MLOps, and responsible AI practices while influencing engineering teams across regions. You will mentor engineers, collaborate with software/data engineers and stakeholders, and ensure production ...