676 to 700 of 706 MLOps Jobs in the UK

robust deployment pipelines. The role covers AI systems deployment, model serving, and data pipelines, with focus on performance, cost, and scalability, across InfraOps and MLOps domains. #J-18808-Ljbffr ...

responsible deployment, and you will document and hand over monitoring tools for ongoing operation. The role demands proven production ML delivery, strong Python and MLOps discipline, and availability at short notice, with a hybrid London setup #J-18808-Ljbffr ...

Architect for AI who will own end-to-end delivery of AI/ML engagements, from silicon and data center design to software and MLOps governance. This hands-on role spans GPU infrastructure, high-performance networking, model training, and responsible AI frameworks. The candidate will lead technical delivery teams, chair ...

world. This is a role for someone who shows up with substance, who can hold a real conversation about model training and MLOps tooling in the morning and cluster networking in the afternoon, and who finds the space between infrastructure and application more interesting than either on its own. About … Account Solution Architect covering Northern EMEA, you’ll move across the full stack depending on what the customer needs, from ML training workflows and MLOps platforms like Weights & Biases to bare metal GPU infrastructure and physical AI deployments. This isn’t a role built around a single layer ...

personalised product recommendations, ranking, search optimisation) Collaborate with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions Implement and maintain MLOps pipelines to support continuous integration, delivery, and monitoring of models Ensure scalability, performance, and reliability of ML systems within Azure cloud infrastructure Work with large … deployment, and governance YOUR KEY SKILLS: Strong experience as an ML Engineer in a production environment Proven expertise with Azure Hands-on experience implementing MLOps frameworks (CI/CD, model versioning, monitoring, automation) Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches) Strong proficiency in Python and common ...

advisor on AI transformation and advanced analytics. Drive business development through AI thought leadership, proposal development, and innovative solution design. Establish data science standards, MLOps frameworks, and responsible AI practices across the organisation. Lead recruitment, development, and performance management of data science professionals. Shape the future of Movar … thought leadership in AI, machine learning, and data science. Technical Stack Core: Databricks (advanced ML capabilities) Strategic: Multi-agent systems Responsible AI frameworks Leadership: MLOps at scale AI governance AI strategy and roadmapping What You'll Bring: Hands‐on professional experience in data science or AI, with significant leadership responsibility. ...

environments. Lead the integration, validation, testing, and troubleshooting of complex HPC and AI solutions to ensure successful deployments. Implement and optimize AI orchestration, MLOps platforms, GPU resource management,and AI/ML workloads in production environments. Collaborate closely with customers, technology partners, and internal project teams throughout the entire project … expertise with Kubernetes, OpenShift, containerized workloads, GPU orchestration platforms, and AI/ML technologies such as Kubeflow, MLflow, JupyterHub, Run:AI, Rafay, ClearML, and MLOps solutions. Experience with HPC workload scheduling and resource management tools such as Slurm and PBS Pro, as well as deploying and integrating high-performance storage ...

Atos SE is seeking a skilled Software Engineer to develop scalable APIs and data services for analytics, and to build modern web applications using React, Angular or Vue. The role involves integrating REST/GraphQL ...

Intellectual Capital Resources Ltd is seeking a senior MLOps/System Administration engineer to join their growing tech team. You will provision and maintain multi-rack GPU server clusters for inference and training workloads, enabling cutting-edge AI and deeptech research. This hands-on role sits in a small team ...

Fosse Associates, partnering with a UK heritage brand, is accelerating a large-scale AI and data transformation in London. The role leads MLOps maturity, setting foundations and standards to deliver ML at enterprise scale. You'll drive model monitoring, governance and drift management, collaborating with business stakeholders and acting ...

exciting growing tech company focused on building cloud platform services for the AI and deeptech research community. They are looking to expand their MLOps and System Administration team by hiring a further senior engineer, to continue building/supporting their infrastructure, which is used for research and development. The role … pivotal role in achieving success for this company. Key skills/experience required: Significant engineering experience in roles such as System Administration, HPC Engineering, MLOps Engineering Modern GPU server deployment, tuning and management Advanced networking technologies (Infiniband, RDMA, RoCE) Advanced Linux skills and experience working with servers running hypervisors/ ...

London is seeking a Senior MLOps Engineer to join our Algorithmic Underwriting team. You will develop and extend our MLOps system to improve underwriting models and enable faster, safer production deployments. Collaborate across the business to tackle technical challenges, expand model lifecycle governance, and drive adoption of best practices while ...

Insurance in London is seeking a Senior MLOPs Engineer to join our Algorithmic Underwriting team. You will develop and extend our MLOps platform to improve underwriting algorithms and model lifecycle management. Join a commercially focused, cross-disciplinary team delivering high-impact features with an iterative, data-driven approach, collaborating with ...

seeking an MLOps Engineer to join its Algorithmic Engineering team in London. You will help build and scale a production-ready MLOps platform to empower the underwriting algorithm, collaborating with colleagues across the business to formalize model governance and deployment practices. You will work on feature stores, model registries ...

into wider systems, working with engineering teams to ensure AI components connect reliably with existing platforms and applications. Develop in-depth knowledge of the MLOps lifecycle, including retraining cadences, model versioning, drift detection, and rollback procedures, to support robust and reliable production AI systems. Contribute to technical proposals, architecture diagrams … practice. Working knowledge of at least one of: agentic AI and LLM application patterns, ML model serving and monitoring, data pipeline design, or MLOps practices. Ability to think beyond implementation. You can ask “why are we building this?” and “how does this fit into the wider system?” as well ...

Fospha, a world-leading measurement platform for online retail, invites a Core Data Engineer to design, build and optimise data pipelines, data models, and governance across analytics and ML workflows in London. You will own ...

Unity Advisory is seeking a client-facing AI Architect to design and deliver scalable AI architectures for enterprise clients. You will collaborate with engineers and consultants to turn ambitious ideas into production-ready systems. The ...

Accenture is seeking an AI/ML Computational Scientist to design, build, and operate AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will manage ...

customers and project teams to ensure successful production handover. The role covers data centre infrastructure, networking, storage, and containerized workloads, with emphasis on Kubeflow, MLOps, and GPU orchestration. #J-18808-Ljbffr ...

Insurance is seeking an MLOps Engineer to join our Algorithmic Engineering team. You will help build and scale our MLOps system, enabling underwriting models to grow and scale, with autonomy to design and implement high-impact features. You'll collaborate across the business to generalise the system for actuarial ...

evaluation checklists). Configure/enable client tools (e.g., Microsoft Purview for governance/lineage/labels; Azure ML/Databricks/Fabric for MLOps, model registry, monitoring; Power BI governance). Contribute to assurance reviews and quality gates; maintain well-structured evidence for audits and approvals. Consulting & collaboration Work … Purview, Azure ML, Databricks/MLflow, Azure Fabric, Power BI governance; plus experience with data catalogues (e.g., Collibra, Alation) is a bonus. Exposure to MLOps processes (model registry, approval workflows, monitoring, incidents & rollbacks) and risk/control libraries (e.g., bias, robustness, security, IP, privacy). Awareness of secure development ...

JPMorgan Chase in London seeks an Applied Artificial Intelligence & Machine Learning Associate to advance client onboarding and software engineering practices. You will work with software engineers, stakeholders, and ML experts to identify improvements and implement ...

AXIS Capital is seeking a Data Science & AI Delivery Lead to helm AI delivery across strategic and standalone use cases. You will work closely with the Head of Data Science & AI Delivery, driving technical delivery ...

Amazing opportunity for an experienced, end to end ML Engineer to play a key role for a well established data company who embarking on the next phase in their growth journey! A very grown up ...

gets built, governed, and evaluated across the team. You'll define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. What you'll do Define standards for responsible … model governance, and production MLOps that get adopted broadly across the Global Public Sector team Build or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt. Architect AI systems designed to prevent systemic failure, and lead the resolution ...