Latest mlops Jobs

Spotlight

Programme Manager (Forward Deployed)

Act as a Programme Manager embedded within a client's technology programme, owning delivery while identifying inefficiencies that can be automated using AI. You'll run programme governance, manage risks and dependencies, and prototype AI workflows to solve real delivery bottlenecks. The role blends hands-on client delivery with innovation to scale solutions through the M-1 platform.

M-1 Intelligence London, United Kingdom £60,000 – £75,000 pa

Remote Permanent

MLOps Engineer

Design and operate a secure, scalable AI platform infrastructure, building CI/CD pipelines and deployment workflows in collaboration with data science and engineering teams. Focus on observability, automation, and high availability using cloud-native technologies. Support AI workload deployment and agent infrastructure with a strong emphasis on performance, cost efficiency, and security.

DGH Recruitment London, City And County Of the City Of London, United Kingdom £80,000 – £100,000 pa

MLOps Engineering Manager

Lead and mentor a team of MLOps engineers while driving the architectural and technical delivery of machine learning systems, including a migration from MLflow to AWS SageMaker. Collaborate with data scientists and cross-functional teams to build scalable solutions for predictive maintenance, fault detection, and component lifecycle optimisation. Balance hands-on technical work with people leadership in a hybrid environment with regular office presence.

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

MLOps Engineer

This role involves owning and developing the MLOps infrastructure for a growing AI platform, building and maintaining orchestration pipelines, deploying ML workloads on Kubernetes, and implementing CI/CD and monitoring systems. You will work closely with Data Scientists and ML Engineers to scale deployments and support real-world impact.

Harnham - Data and Analytics Recruitment London, United Kingdom £75,000 – £85,000 pa

Senior MLOps Engineer - DSX Enablement

Develop and optimize scalable AI/ML infrastructure solutions on NVIDIA platforms, supporting both internal and external customers. Focus on MLOps pipeline development, distributed training, inference optimization, and deep-stack performance tuning across hardware and software layers. Contribute to open-source tools and collaborate with engineering teams to enhance AI frameworks and cloud integrations.

NVIDIA Germany PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on cloud platforms, with a focus on MLOps pipelines, distributed training, and inference optimization. The engineer will act as a technical advisor for internal and external customers, diagnose full-stack AI/ML system issues, and contribute to open-source tools and reference architectures. Work includes performance profiling, supporting new hardware in frameworks, and collaborating on scalable AI infrastructure.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer

This role involves building and maintaining MLOps infrastructure to productionise advanced AI and computer vision models, from distributed training to deployment on cloud and edge devices. The engineer will optimise inference, manage model registries, and develop CI/CD and monitoring pipelines while working closely with research and software teams. The position requires strong hands-on skills in Python, containerisation, and GPU-accelerated systems, particularly NVIDIA Jetson platforms.

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

Hybrid Permanent Clearance Required

Senior Software Engineer 1 (MLOps)

We’re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future.We’re looking for dynamic,...

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

Platform Engineer (DevOps / MLOps Focus)

This role involves designing and maintaining cloud-native infrastructure and Kubernetes environments to support large-scale AI and machine learning workloads. You'll use Terraform for Infrastructure as Code and collaborate closely with engineering and data science teams to optimise deployment workflows and platform performance. The position focuses on building scalable, secure, and observable platforms for AI in a high-visibility environment.

The Portfolio Group London, United Kingdom £100,000 pa

Hybrid Permanent

Senior Specialist Solutions Architect (AI/ML)

Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.

Databricks London, United Kingdom

Hybrid Permanent

Agentic AI Software Engineer

Develop and deploy agentic AI and LLM-based applications within a cloud-native environment, focusing on intelligent agent systems and AI platforms. Work closely with scientific teams to support cutting-edge research through scalable backend services and MLOps infrastructure. The role involves strong ownership of development, deployment, and observability in production environments.

Adecco London, United Kingdom

Infrastructure & Platform Specialist Solutions Architect (SSA)

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on GenAI, MLOps, and LLMOps. The individual will guide enterprise customers through technical challenges, build MVPs, and lead deep-dive sessions during sales cycles. They will also contribute to product roadmaps, create technical content, and drive AI thought leadership through conferences and hackathons.

Databricks London, United Kingdom

Hybrid Permanent

Platform Engineer

This role involves designing, building, and maintaining scalable analytics platforms and cloud infrastructure to support data science and MLOps teams. The engineer will work across the full software development lifecycle, troubleshooting issues, optimising performance, and delivering secure, high-performing solutions in a regulated defence environment. The position requires strong skills in Python, Kubernetes, and CI/CD, with exposure to MLOps, Spark, and graph databases a plus.

Apex Resources Gloucester, Gloucestershire, United Kingdom £55,000 – £75,000 pa

Senior DevSecOps Engineer

This role involves designing and delivering secure CI/CD pipelines, building and supporting Kubernetes/container platforms, and embedding security controls into engineering workflows. You'll work closely with data and AI teams to improve platform reliability and deployment standards, with a focus on DevSecOps and automation.

SF Partners United Kingdom £80,000 – £95,000 pa

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 Machine Learning Engineer

This role involves designing, building, and deploying high-performance Machine Learning solutions, working across the full ML lifecycle from experimentation to production. You'll collaborate with engineering and AI teams to ensure robust MLOps practices and optimize model performance in production environments.

Data Idols London, United Kingdom £80,000 – £90,000 pa