Latest MLOps Engineer Jobs

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

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems for internal and external customers, focusing on MLOps pipelines, distributed training, and inference performance. Build open-source tools and reference architectures to scale AI workloads on NVIDIA platforms and cloud partners. Act as a technical advisor for complex production issues across hardware, software, and infrastructure layers.

NVIDIA £292,500 – £650,000 pa

Remote Permanent

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems, focusing on MLOps pipelines, distributed training, and inference performance across cloud and on-prem environments. Collaborate with internal teams and external customers to solve complex infrastructure challenges, particularly around LLMs and new hardware integration. Build open-source tools and reference architectures to scale AI workloads effectively.

NVIDIA PLN 292,500 – PLN 650,000 pa

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

Platform Engineer (DevOps / MLOps Focus)

Design and maintain cloud-native infrastructure to support large-scale AI and machine learning workloads, with a focus on Kubernetes, Terraform, and platform automation. Collaborate with engineering and data science teams to optimise deployment workflows and improve platform reliability, scalability, and observability for production AI systems.

The Portfolio Group London, United Kingdom £100,000 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

Machine Learning Engineer

Design and deploy machine learning and generative AI systems for national security applications, transitioning models from experimentation to production using AWS-based MLOps and LLMOps platforms. Develop scalable ML pipelines, LLM-powered capabilities, and robust monitoring systems while ensuring compliance with governance and responsible AI principles. Collaborate with cross-functional teams and mentor junior engineers in a high-impact, security-cleared environment.

eFinancialCareers London, United Kingdom £65,000 pa

On-site Permanent Clearance Required

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

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 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

W

Model Release Engineer

About usFounded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision...

Wayve London, United Kingdom

Senior AI Engineer

Lead the design and deployment of scalable AI and generative AI solutions, including LLM-powered applications for enterprise search, document summarization, and conversational AI. Develop retrieval-augmented generation systems using vector databases and cloud platforms, while mentoring teams and shaping enterprise AI strategy. Work across data engineering and MLOps to deliver production-grade AI with measurable business impact.

Appcast Enterprise Cork, 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 use cases like liquidity forecasting, capital optimisation, and risk management. You will design and deliver AI-driven solutions, oversee cloud migration for scalable experimentation, and promote responsible AI practices. The position emphasizes technical leadership, innovation, and cross-functional collaboration within a financial services environment.

eFinancialCareers London, United Kingdom