Latest ML Engineer Jobs

Senior ML Compiler Engineer

Design and develop a high-performance machine learning compiler stack for novel AI accelerator hardware. Work closely with hardware, runtime, and ML teams in a full-stack co-design environment to optimise execution of large language models. Define core compiler architecture including IR, optimisations, and lowering strategies from the ground up.

Fractile London, United Kingdom

Modelling Engineer

Develop pre-silicon software models of AI accelerator hardware to support architecture design, performance analysis, and early software development. Work collaboratively across hardware, software, and machine learning teams using a co-design methodology. Contribute to the development of high-performance computing solutions for large language models.

Fractile Bristol, United Kingdom

Software Engineer

Design and operate scalable cloud infrastructure for AI and agentic systems, with a focus on model serving and production reliability. Build cloud-native solutions using GCP technologies and support scientists with robust, high-performance services. Work across the full software lifecycle in an agile environment alongside ML engineers and domain experts.

Experis London, United Kingdom £750 – £830 pd

Hybrid Contract

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Software Engineer

This role involves building and maintaining scalable Python libraries and tools that support machine learning engineers and researchers in training, evaluating, and scaling AI models. You'll work on creating robust abstractions for distributed training, data pipelines, and model evaluation workflows, with a focus on reliability, performance, and usability across large GPU clusters and cloud infrastructure. The position is embedded within an AI platform team driving autonomous driving technology development.

Wayve London, United Kingdom

Platform Engineer

Design and deploy secure, scalable cloud infrastructure for AI and machine learning workflows using AWS and Azure. Enable data scientists and ML engineers through infrastructure-as-code, reusable libraries, and best practices. Work cross-functionally to solve complex technical challenges in life sciences and other sectors.

Faculty London, United Kingdom

Hybrid Permanent

Safety Engineer - Free Tier Abuse

Design and build scalable backend systems for detecting and preventing abuse of free-tier services, focusing on AI-driven moderation and guardrails. Develop production-grade APIs, data pipelines, and observability frameworks while collaborating with ML engineers to deploy models at scale. Own end-to-end technical execution of safety infrastructure across a multimodal AI platform.

ElevenLabs United Kingdom

Remote Permanent

Senior Machine Learning Engineer

Design, train, and optimise machine learning models using TensorFlow and TFX, building scalable production pipelines and deploying models into live environments. Monitor performance, improve systems iteratively, and collaborate with engineering and product teams to deliver business-impacting ML solutions. Work with large-scale datasets and focus on end-to-end MLOps practices in a hybrid setup.

Maxwell Bond Marylebone High Street, London, United Kingdom £58,000 – £60,000 pa

Staff Software Engineer - Machine Learning

This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.

Capital One Bunhill, London, United Kingdom

Hybrid Permanent

Applied AI Engineer

An Applied AI Engineer will work directly with enterprise customers to design, build, and deploy AI systems that solve real-world business problems. The role involves hands-on coding, system integration, and technical leadership to guide AI solutions from prototype to production, with a focus on reliability, safety, and measurable impact. The position requires deep technical expertise and strong collaboration with both customer teams and internal OpenAI groups.

OpenAI London, United Kingdom

Hybrid Permanent

Applied AI Engineer

An Applied AI Engineer will work directly with enterprise customers to design, build, and deploy production-grade AI systems that solve high-impact business problems. The role involves hands-on coding, architecture design, integration, evaluation, and guiding technical decisions across safety, reliability, cost, and governance. Engineers will transition prototypes into scalable, reliable systems while contributing reusable tooling and influencing product development through real-world deployment insights.

OpenAI United Kingdom

Hybrid Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.

Isomorphic Labs United Kingdom

Hybrid Permanent

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

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

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