Latest mlops Jobs

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platform, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and implement complex AI agent workflows, support the development of RAG pipelines, and collaborate with technical teams across partners and NVIDIA to deliver full-stack AI solutions. A strong focus is placed on evangelizing accelerated computing and Agentic AI through technical engagement and solution design.

NVIDIA

Senior Data Engineer

This role involves working within a high-growth data and machine learning team, focusing on delivering impactful projects for investment firms and their portfolio companies. Responsibilities include embedding into client organizations, defining and solving business problems, and deploying machine learning solutions across various use cases like pricing and fraud reduction.

Harnham - Data and Analytics Recruitment London, United Kingdom £90,000 – £120,000 pa

On-site Permanent

Senior Machine Learning Engineer

This role involves designing, building, and deploying machine learning models into production environments, with a focus on MLOps workflows, API development, and DevOps best practices. You will work closely with data scientists and engineers to deliver robust, scalable solutions that drive commercial outcomes.

Harnham - Data and Analytics Recruitment London, United Kingdom £90,000 – £110,000 pa

Hybrid Permanent

Treasury AI Engineering Lead - NatWest Group

The role involves leading the adoption of Generative AI and machine learning in Treasury operations, focusing on liquidity forecasting, capital optimisation, and risk management. You'll design and deliver AI solutions, migrate systems to secure cloud environments, and promote responsible AI practices while mentoring engineers and shaping technical strategy. The position requires strong leadership in AI engineering, collaboration with stakeholders, and oversight of data governance and scalable architecture.

eFinancialCareers London, United Kingdom

Senior AI/ML Engineer

This role involves leading AI initiatives to build intelligent, scalable learning experiences using large language models and modern cloud infrastructure. The engineer will design production AI systems for personalisation, tutoring, content generation, and learner support, while establishing best practices in AI governance and mentoring engineering teams. Collaboration with product, data, and learning design teams is central to delivering impactful educational technology.

eFinancialCareers London, United Kingdom £90,000 – £110,000 pa

Hybrid Permanent

Forward Deployed Engineer - Emerging Enterprise & DNB

This role involves working directly with enterprise and digital-native clients to design and implement data and AI solutions on the Databricks platform. You'll lead technical projects including data engineering, cloud integration, and MLOps, while providing architectural guidance and resolving complex technical challenges. The position emphasizes customer delivery, collaboration with cross-functional teams, and translating real-world feedback into product improvements.

Databricks London, United Kingdom

Hybrid Permanent

Platform Engineer

This role involves designing and scaling Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services, and supporting machine learning workflows. The engineer will enhance CI/CD pipelines, implement monitoring and disaster recovery systems, and collaborate closely with data science and ML teams to optimize infrastructure for drug discovery. The position is central to enabling scalable, secure, and reliable computational platforms for biomedical innovation.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges using AI. The role involves building scalable, reliable ML data pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable tools and products. Frequent customer site visits across multiple continents are expected to support on-site solution development and deployment.

PhysicsX England US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

Staff Machine Learning Software Engineer, Research

Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.

PhysicsX London, United Kingdom

On-site Permanent

Senior Machine Learning Engineer (E3)

A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.

Ocado United Kingdom

Hybrid Permanent

Lead Machine Learning Engineer

This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid Permanent

Senior Machine Learning Scientist

This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid Permanent

Associate Director, Platform Engineering

Lead and develop the platform engineering team responsible for hybrid infrastructure, Kubernetes-based clusters, and scientific compute environments that support machine learning and drug discovery workflows. Define platform strategy, ensure robust CI/CD, observability, and security, and act as a technical leader across engineering and data science. The role involves shaping a developer platform tailored to computational scientists and genomic data pipelines in a high-impact TechBio environment.

Relation Therapeutics London, United Kingdom

Permanent

W

Release Manager — AI Models

This role involves managing the end-to-end lifecycle of AI models for autonomous driving systems, from training and evaluation to on-road testing and fleet-wide deployment. The Model Release Manager ensures reliable, timely releases by defining promotion gates, resolving bottlenecks, and improving processes across ML and engineering teams. It requires balancing structured release practices with the non-deterministic nature of machine learning in a fast-moving, safety-critical environment.

Wayve London, United Kingdom

Hybrid Permanent

W

Senior SRE, AI Infrastructure

This role involves building and scaling the reliability foundations of an AI cloud platform, including model development and GPU compute systems. The engineer will define SRE frameworks, ensure platform resilience, and enable scalable AI deployment through automation and observability. It's a founding role requiring deep expertise in distributed systems, Kubernetes, and cloud infrastructure.

Wayve London, United Kingdom

On-site Permanent