Latest ML Engineer Jobs

W

Staff ML Performance Engineer (Compiler)

Optimise machine learning inference for edge accelerators and GPUs, focusing on efficient execution of large transformer models on low-power devices. Work across compilers, runtimes, kernels, and embedded deployment to deliver high-performance, reliable in-vehicle computing systems. Collaborate with model developers and contribute to technical roadmaps in an early-stage, high-impact environment.

Wayve London, United Kingdom

W

Machine Learning Engineer (Closed Loop)

Develop next-generation generative world models for autonomous driving, focusing on real-time simulation, closed-loop training, and scalable deployment. Work on high-performance diffusion and transformer-based models to enable efficient, interactive, and physically faithful driving simulations. Integrate models into production systems and mentor research teams in a fast-paced AI environment.

Wayve London, United Kingdom

Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

This role involves owning and developing large new areas of Scale AI's enterprise Generative AI platform, working across backend, frontend, and ML systems. The engineer will solve complex scalability and reliability challenges while rapidly delivering high-quality experiments. Close collaboration with customers and engagement across the full product lifecycle—from concept to production—is expected.

Scale AI London, United Kingdom

Hybrid Permanent

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business goals. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI solutions in production.

Mastercard Donabate, Fingal, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business goals. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, risk, and product teams to ensure ethical, compliant, and high-performing AI solutions in production.

Mastercard Lusk, Fingal, Ireland

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites to implement solutions on-site. The position focuses on turning research into practical, high-impact tools using Python, PyTorch, and cloud/on-prem infrastructure.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Control Red Team - Research Engineer/Research Scientist

This role involves designing and conducting machine learning experiments to evaluate the effectiveness of AI control measures such as monitors, sandboxing, and permission systems. The researcher will develop adversarial attacks to test frontier AI models, build experimental infrastructure, and produce actionable insights for both companies and government stakeholders. Work combines technical depth in ML with strategic red-teaming to uncover real-world risks in advanced AI systems.

AI Security Institute London, United Kingdom

Principal Machine Learning Engineer

This role involves deploying and scaling machine learning models for high-fidelity engineering simulations, working directly with customers to integrate AI into production environments. The Principal ML Engineer will lead technical architecture, build robust data and inference pipelines using Python, PyTorch, and Kubeflow, and mentor teams across global customer sites. The position bridges advanced physics-based challenges with practical AI solutions in industries like aerospace, energy, and semiconductors.

PhysicsX United Kingdom

Hybrid Permanent

Senior Technical Program Manager (InfoSec), London

This role involves translating the company's information security strategy into actionable engineering initiatives, managing complex security projects across cloud infrastructure, identity access management, and secure software development. The person will act as a bridge between security and engineering teams, ensuring robust protection of AI models and sensitive drug discovery data while maintaining research velocity. Key responsibilities include building automated dashboards for risk visibility, securing emerging AI workflows, and navigating the Google/Alphabet ecosystem.

Isomorphic Labs London, United Kingdom

On-site Permanent

AI Implementation Engineer ( Data Science / ML Background)

Lead the end-to-end delivery of AI solutions, from strategy and proof of concept to production deployment, with a focus on LLMs, RAG pipelines, and AI agents. Collaborate across data, infrastructure, and business teams to integrate scalable AI tools into enterprise workflows and drive measurable operational impact.

Adria Solutions Manchester, United Kingdom £65,000 – £95,000 pa

AI Infrastructure Engineer, Serving Platform

Design and build scalable, fault-tolerant systems for serving large language models (LLMs) in both research and production environments. Develop internal platforms for LLM capability discovery and integration, with a focus on performance, observability, and system health. Collaborate closely with researchers and engineers to optimize model deployment and support cutting-edge AI applications.

Scale AI London, United Kingdom

AI Engineer - FDE (Forward Deployed Engineer)

Design and deploy production-grade generative AI applications in close collaboration with customers and internal teams. Focus on implementing cutting-edge GenAI solutions such as RAG, multi-agent systems, and fine-tuned models using frameworks like LangChain and HuggingFace. Work across the full lifecycle from prototyping to deployment, leveraging cloud platforms and advising on best practices in LLMOps and MLOps.

Databricks United Kingdom

Remote Permanent

Senior AI Engineer X 2 (Agentic AI)

This role involves designing, building, and integrating AI applications into end-to-end workflows, embedding agentic AI into customer and operational processes, and collaborating with cross-functional teams to deliver robust, production-ready solutions. The focus is on turning emerging AI capabilities into practical, high-value implementations while ensuring reliability, resilience, and safety.

Adria Solutions Manchester, United Kingdom £70,000 – £85,000 pa

Hybrid 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

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on reliability, performance optimization, and debugging across hardware, networking, and training dynamics. The engineer will run experiments to improve training efficiency, respond to incidents during model launches, and collaborate closely with research and systems teams. It’s a high-impact, operational role blending deep technical engineering with empirical research in a fast-paced, safety-focused AI environment.

Anthropic London, United Kingdom £260,000 – £630,000 pa