Latest MLOps Engineer Jobs

Senior AI Engineer - Perm - London

This role involves designing and building scalable AI data pipelines and cloud-native microservices, with a focus on productionising machine learning, NLP, and generative AI models. The engineer will collaborate closely with data scientists and software engineers to transform research into robust, cloud-based systems using modern MLOps practices. Emphasis is placed on technical leadership, mentoring, and shaping engineering standards within a global AI team.

Infused Solutions London, United Kingdom £65,000 – £75,000 pa

Research Data Engineer

Design and build scalable data systems to support multi-omics and machine learning in drug discovery. Focus on data pipelines, storage layouts, and infrastructure for high-dimensional biological datasets. Collaborate closely with ML scientists and research engineers to enable efficient model training and experimentation.

Relation Therapeutics London, United Kingdom
Hybrid Permanent

Staff Applied AI Engineer

This role involves designing and governing high-stakes AI systems for public sector clients, with a focus on responsible AI, model evaluation, and production MLOps. The engineer will establish technical standards, lead incident resolution for model safety, and build reusable AI capabilities like fine-tuned models and agent architectures. They will also mentor senior engineers, advise on technical roadmaps, and act as a trusted advisor to government clients on AI strategy and deployment.

Scale AI London, United Kingdom
Hybrid Permanent Clearance Required

Senior ML Engineer

Design and deploy production-grade NLP systems and large language models tailored for financial services, with a focus on scalability, data governance, and regulated environments. Develop fine-tuned, low-latency AI workflows integrated into cloud infrastructure, while mentoring engineers and advancing evaluation methodologies for LLM outputs. Work across the full ML lifecycle from research to deployment in a remote-first, innovation-driven team.

Aveni United Kingdom
Remote Permanent

Staff Software Engineer - Machine Learning

This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.

Capital One Bunhill, London, United Kingdom
Hybrid Permanent

Machine Learning Ops Engineer

This role involves designing, building, and deploying machine learning models in Azure Machine Learning Studio to support actuarial and analytics teams in a pensions and insurance context. The engineer will manage the full MLOps lifecycle, including model monitoring, retraining pipelines, and integration with data workflows using Azure Data Factory and CI/CD practices. A key focus is ensuring model reliability and translating technical outputs into actionable business insights for both technical and non-technical stakeholders.

Proactive Appointments London, United Kingdom £45,000 – £60,000 pa
Remote Permanent

Data & AI Engineer

Design and build scalable data pipelines and AI solutions on Snowflake and Azure platforms, supporting analytics and machine learning workloads. Collaborate with technical and non-technical stakeholders to implement best practices in data engineering and drive adoption of generative AI technologies. Work within Agile frameworks to continuously improve data platform performance and support MLOps and governance standards.

Hastings Insurance Services Bexhill-on-Sea, TN39 3JX, United Kingdom

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
PhysicsX logo

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
Wayve logo

Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and reliability of machine learning models throughout Wayve’s development lifecycle. The engineer will define and enforce release standards across complex training phases, improve ML delivery pipelines, and collaborate with platform, CI/CD, and evaluation teams to enhance automation, observability, and evaluation methodology. The position plays a critical role in maintaining model integrity and safety for embodied AI in autonomous vehicles.

Wayve London, United Kingdom
Databricks logo

Senior Forward Deployed Engineering - Architect

This role involves working directly with enterprise customers to design and implement end-to-end data and AI solutions on the Databricks platform. The engineer leads architectural decisions, builds production-grade systems, and integrates data pipelines with ML/AI models and applications. Emphasis is placed on customer collaboration, reusable solutioning, and influencing product development through real-world feedback.

Databricks London, United Kingdom
Hybrid Permanent
PhysicsX logo

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.

PhysicsX United Kingdom £150,000 – £190,000 pa
Remote Permanent

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa
Hybrid Permanent Clearance Required

Senior AI/ML Engineer

This role involves designing, building, and deploying AI-driven systems using state-of-the-art large language models and agent-based systems. You will work closely with cross-functional teams to translate complex problems into scalable AI solutions, optimize system performance, and contribute to the overall AI strategy. The company is at the forefront of applied AI, focusing on automating manual workflows and enhancing decision-making processes.

Platform Recruitment London, United Kingdom £90,000 – £120,000 pa
Hybrid Permanent Flexible

Principal Machine Learning Engineer

A Principal Machine Learning Engineer will lead technical innovation in speech AI by developing and deploying advanced machine learning models, translating research into scalable production systems. The role involves mentoring engineers, shaping long-term ML strategy, and solving complex modelling challenges across the organisation. Work spans distributed training, inference optimisation, and MLOps best practices within a hybrid working environment.

Speechmatics Cambridge, United Kingdom