Latest mlops engineer 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 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

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 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 scalable AI solutions on cloud platforms, with a focus on MLOps pipelines, distributed training, and inference optimization. You'll act as a technical advisor for internal and external customers, solving complex full-stack AI system issues and contributing to open-source tools. The position emphasizes deep systems knowledge, performance tuning, and collaboration with infrastructure teams to support cutting-edge AI workloads.

NVIDIA PLN 292,500 – PLN 650,000 pa

MLOps Platform Developer / Full-Stack AI Engineer

This role involves end-to-end ownership of a full-stack engineering platform integrating AI, real-time telemetry, and building management systems. You'll operate and evolve an LLM serving stack with fine-tuning pipelines, maintain a React/TypeScript frontend with offline-first mobile capabilities, and manage large-scale PostgreSQL databases and MQTT-based data ingestion from IoT systems. The position combines MLOps, full-stack development, and domain-specific engineering intelligence in the context of energy transition infrastructure.

Anonymous London, United Kingdom

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

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 MLOps infrastructure and CI/CD pipelines. The engineer will support real-time inference, data pipelines, and scalable ML workloads while collaborating with data scientists and DevOps teams. Responsibilities include monitoring, security, governance, and technical documentation within an Azure cloud environment.

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

Analytical platform Engineer

Design and maintain scalable analytics platforms and cloud infrastructure for defence-sector data solutions. Work across the full development lifecycle, troubleshoot performance issues, and support Data Scientists and MLOps teams in a secure, regulated environment. Collaborate using modern DevOps practices and technologies including Kubernetes, Docker, and CI/CD pipelines.

Apex Resources Gloucester, Gloucestershire, United Kingdom £475 – £500 pd

Hybrid Contract Clearance Required

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 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

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

Platform Engineer

This role involves building and maintaining the MLOps and deployment infrastructure that supports data science teams in transitioning machine learning models from exploration to production. The engineer will work across multiple cloud platforms, design containerised microservices architectures, and implement DevSecOps and infrastructure-as-code practices. Collaboration with customer-facing teams ensures platform solutions are scalable, secure, and effectively integrated into client environments.

Faculty AI London, United Kingdom

Hybrid Permanent

Machine Learning Engineer

Design and deploy automated machine learning pipelines for insurance risk modelling and pricing, using MLOps practices and cloud platforms. Focus on tuning, deploying, and maintaining high-performance models in production with test-driven development and SOLID principles. Mentor junior engineers and collaborate with data science and underwriting teams.

Vermelo RPO M43Aq, United Kingdom

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

Forward Deployed Engineering - Senior Architect

This role involves leading the design and implementation of production-grade data and AI systems for strategic customers using the Databricks platform. The Senior Architect will work hands-on to build end-to-end solutions, integrating data engineering, machine learning, and application development while guiding customers on architecture and best practices. The position emphasizes customer immersion, reusable asset creation, and cross-functional collaboration to drive transformational impact.

Databricks London, United Kingdom

Hybrid Permanent