Latest Machine Learning 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

Machine Learning Engineer

Design and optimize machine learning models for hardware acceleration on platforms such as GPUs and QPUs, focusing on low-latency distributed systems and simulation. Work independently within an established team to support international clients using cutting-edge technologies. The role involves algorithm development in C++, Python, or Rust, with a strong emphasis on performance and hardware integration.

Hexwired Recruitment Limited London, United Kingdom £80,000 – £120,000 pa

Machine Learning Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. The engineer will lead technical architecture decisions, operationalise models using frameworks like TensorFlow and PyTorch, and develop scalable ML infrastructure. Collaboration with cross-functional teams and direct client engagement are key, with a focus on translating complex AI concepts into real-world solutions.

Faculty London, United Kingdom

Hybrid Permanent

Machine Learning Engineer

This role involves designing, building, and operationalising advanced machine learning solutions for UK national security objectives. The Senior Machine Learning Engineer will work in a multidisciplinary AI environment, leading experimentation cycles, transitioning models to production, and ensuring robust and scalable deployments using AWS and MLOps tools.

eFinancialCareers London, United Kingdom £65,000 pa

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

Machine Learning Engineer / ML Engineer - Roleplay Sessions

Build and improve the AI engine powering interactive roleplay training with AI avatars, focusing on real-time performance scoring, feedback generation, and dynamic response logic. Work on applied machine learning models integrated into a product-driven environment, collaborating closely with engineering and product teams to enhance learning-by-doing experiences. The role emphasizes fast iteration and delivering tangible impact through scalable AI systems.

Synthesia London, Europe, United Kingdom

Permanent

Machine Learning Engineer Modelling

Develop advanced mathematical and machine learning models for complex industrial and scientific systems by combining first-principles physics with AI techniques. Work across the full modelling lifecycle using large-scale sensor and operational data to build predictive digital representations of physical processes. Collaborate with a high-calibre team to improve model performance through experimental design and real-world validation.

Newton Colmore Guatemala

Hybrid

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

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

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Machine Learning Engineer (Synthetic Data)

Build and scale next-generation world model architectures to generate high-fidelity synthetic data for autonomous driving systems. Bridge ML research and engineering by optimizing generative models, ensuring training-grade video output, and integrating synthetic data into real-world training pipelines. Work across GPU-scale infrastructure, 3D geometry, and multi-sensor simulation to accelerate development across new vehicle platforms and safety-critical scenarios.

Wayve London, United Kingdom

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Machine Learning Engineer, Driving Product

Develop and optimize end-to-end AI driver models for autonomous vehicles, focusing on training, evaluation, and deployment across real-world and synthetic data environments. Work closely with production and validation teams to deliver high-impact driving behaviors for L2 to L4 systems, with ownership from data curation to on-road testing. Engage in fast iteration cycles to improve model performance in safety-critical automotive applications.

Wayve United Kingdom

Hybrid Permanent

Machine Learning Engineer, Platform

This role involves building and owning end-to-end machine learning components within a generative AI platform, with a focus on retrieval systems, knowledge representation, and RAG pipelines. The engineer will design and implement systems for knowledge retrieval, vector indexing, and context engines that power enterprise AI agents. Work includes developing evaluation frameworks, integrating with enterprise data sources, and collaborating across ML, product, and infrastructure teams to deliver high-impact AI solutions.

Scale AI London, United Kingdom

Hybrid Permanent

Machine Learning Engineer, Global Public Sector

Design and build reliable, multi-step agentic systems for high-stakes government applications, focusing on AI safety, red-teaming, and model optimization in regulated environments. Develop novel architectures and evaluation frameworks to ensure sovereign AI systems are performant, unbiased, and production-ready at scale.

Scale AI United Kingdom

On-site Permanent Clearance Required

Senior Machine Learning Engineer (E3)

A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.

Ocado United Kingdom

Hybrid Permanent

Principal Machine Learning Engineer

This role involves leading the design and implementation of scalable, high-impact machine learning systems within complex enterprise and government environments, particularly in the defence sector. The Principal Machine Learning Engineer will act as a technical authority, shaping architectural direction, solving cross-project challenges, and mentoring engineering teams. Work includes strategic innovation, system integration, and hands-on technical leadership in ethical, real-world AI applications.

Faculty London, United Kingdom

Hybrid Permanent

Lead Machine Learning Engineer

This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.

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

Hybrid Permanent

Senior Machine Learning Engineer - National Security (TIRE)

Develop and deploy advanced machine learning and AI solutions for national security challenges in collaboration with cross-disciplinary teams. Lead technical projects, build scalable data systems and microservices, and provide technical leadership while working at the intersection of research and real-world impact. Mentor team members and contribute to research proposals and capability development.

The Alan Turing Institute Cheltenham, South West England, United Kingdom £57 – £62 pa

Contract