Latest mlops engineer Jobs

Spotlight

ML Runtime Engineer

Design and develop high-performance ML runtime systems for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to optimize inference performance. Build low-level runtime components in Rust and contribute to the full stack of ML inference infrastructure.

Fractile London, United Kingdom

Hybrid Permanent

MLOps Engineering Manager

Lead the design, migration, and delivery of scalable ML systems while managing a team of 5-10 engineers. Drive technical strategy in a cloud-native environment during a key transition from MLflow to AWS SageMaker, supporting predictive maintenance and component lifecycle optimisation. Balance hands-on engineering with people leadership in a hybrid setup involving regular collaboration with data scientists and stakeholders.

Uniting Ambition Ruislip Manor, London, United Kingdom £100,000 – £120,000 pa

Senior MLOps Engineer

Develop and maintain MLOps infrastructure to productionise advanced AI and computer vision models, from distributed training to deployment on cloud and GPU-accelerated edge devices. Work closely with research and engineering teams to build scalable CI/CD pipelines, model registries, and monitoring systems. Operate in high-assurance environments with exposure to defence and security applications.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Hybrid Permanent Clearance Required

Machine Learning Engineer

This role involves deploying and managing machine learning models in production using Azure Machine Learning, with a focus on building and maintaining scalable MLOps infrastructure. The engineer will design CI/CD pipelines for ML artifacts, implement monitoring and security controls, and support real-time inference workloads. Collaboration with data scientists, developers, and architects is key to optimizing model performance and platform reliability.

Queen Square Recruitment Wokingham, Berkshire, United Kingdom £460 pd

Lead AI Engineer

This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, applying best practices in MLOps and DevOps, and collaborate closely with product teams and senior leadership.

Harnham - Data and Analytics Recruitment London, United Kingdom £85,000 – £95,000 pa

Hybrid Permanent

Platform Engineer

This role involves designing and maintaining the MLOps and deployment infrastructure that enables data scientists to transition machine learning models from exploration to production. The engineer will work across AWS, Azure, and GCP to build scalable, containerised systems using Kubernetes and infrastructure-as-code tools. The focus is on creating reliable, secure, and high-performance platforms that support client-facing AI solutions.

Faculty AI London, United Kingdom

Hybrid Permanent

AI Engineer

Design and implement AI models across the full development lifecycle, from prototyping to deployment, with a focus on generative AI and LLMs. Collaborate with cross-functional teams to build responsible, scalable solutions using modern ML and MLOps tooling. Work across diverse client projects in an agile, consultancy environment.

Peregrine Preston, Lancashire, United Kingdom

Machine Learning Engineer

Design and implement automated machine learning pipelines for insurance risk modelling and pricing, focusing on tuning, deploying, and maintaining models in a DevOps/MLOps environment. Work closely with data science teams to productionize state-of-the-art methods using TDD and SOLID principles, while mentoring junior engineers and driving coding excellence across motor, home, and commercial lines.

Vermelo RPO M43Aq, United Kingdom

Senior Specialist Solutions Engineer (AI/ML)

Design and implement production-grade machine learning and GenAI solutions on Databricks' platform, with a focus on MLOps, RAG architectures, and LLM deployment. Provide technical leadership during sales cycles by building MVPs, guiding architectural design, and mentoring teams. Create tutorials, lead hackathons, and drive platform adoption through thought leadership in AI/ML innovation.

Databricks London, United Kingdom

On-site Permanent

Forward Deployed Engineering - Senior Architect

This role involves leading the design and implementation of end-to-end data and AI solutions for enterprise customers using the Databricks platform. The Senior Architect will work hands-on to build production-grade systems, integrate ML/AI models, and deliver scalable data architectures while collaborating closely with technical and business stakeholders. The role emphasizes customer immersion, reusable asset development, and influencing product strategy through real-world deployment insights.

Databricks London, United Kingdom

Hybrid Permanent

Senior Applied Engineer

Develop and scale physical foundation models for AI-driven engineering simulation, bridging research and production. Work across the full stack from distributed training on multi-GPU cloud infrastructure to robust software implementation, collaborating with scientists and engineers to solve real-world physics problems. Contribute to reusable libraries and mentor team members in a high-impact, research-led environment.

PhysicsX United Kingdom

Hybrid Permanent

Senior AI Engineer - Perm - London

Design and build scalable AI data pipelines and cloud-native services, productionising machine learning and NLP models into reliable systems. Collaborate with data scientists and engineers to deliver intelligent products, while mentoring junior staff and shaping engineering standards. Work with cutting-edge technologies including LLMs, Kubernetes, and cloud platforms in a hybrid environment.

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

Hybrid Permanent

Research Data Engineer

Design and build scalable data systems for multi-modal scientific data, enabling efficient analysis and machine learning in a high-performance research environment. Focus on data pipeline architecture, storage optimization, and seamless integration between wet lab and ML teams. Work across cloud-native infrastructure to support large-scale, GPU-intensive model training and rapid iteration.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Machine Learning Ops Engineer

This role involves designing, deploying, and maintaining machine learning models in production using Azure Machine Learning Studio, with a focus on MLOps practices such as automated retraining, model monitoring, and pipeline integration. The engineer will collaborate with actuarial and analytics teams to improve predictions in areas like longevity and investment risk, while building scalable data pipelines using Python, SQL, and Azure Data Factory. A strong emphasis is placed on CI/CD, model lifecycle management, and translating technical outputs into actionable business insights.

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

Remote Permanent

Principal ML Engineer

This role involves providing technical leadership in machine learning while remaining deeply involved in hands-on development of large-scale production systems. You'll design and optimise models for recommendation engines, bidding algorithms, and customer lifetime value prediction, with a strong focus on MLOps, model observability, and infrastructure. The position offers influence over ML strategy within a profitable AI-driven scale-up operating in AdTech and digital personalisation.

Harnham - Data and Analytics Recruitment Germany, United Kingdom €120,000 – €150,000 pa

Senior Machine Learning Engineer

Design and deploy production-grade machine learning and generative AI systems for national security applications, using AWS and modern MLOps/LLMOps practices. Lead model development from experimentation to deployment, with a focus on scalability, security, and responsible AI. Collaborate with data scientists and engineers in a high-impact technical consultancy environment.

eFinancialCareers London, United Kingdom £75,000 pa

Hybrid Permanent Clearance Required