Latest ai researcher Jobs

ML Platform Engineer

Design and improve platform systems for model training, evaluation, and production serving. Build reliable, scalable infrastructure and tooling for ML workloads, with a focus on automation, observability, and developer experience. Collaborate with researchers and engineers to develop abstractions that reduce operational overhead in GPU and cloud environments.

Synthesia London, United Kingdom

Remote Permanent

Principal ML Platform Engineer

Design and build scalable, reliable systems for training, serving, and operating generative AI models in production. Develop internal tooling and agentic workflows to reduce manual effort and improve automation across research and product teams. Collaborate with researchers and engineers to enhance platform observability, debugging, and developer experience at scale.

Synthesia London, United Kingdom

Remote Permanent

Full-Stack Engineer (Back-End Leaning)

This role involves building and maintaining scalable backend systems that power AI-driven voice and creative tools used by millions. You'll work on enhancing platform functionality, integrating with enterprise solutions, and improving infrastructure performance and security. Collaboration with frontend, growth, and sales teams ensures customer needs are met through robust, innovative engineering.

ElevenLabs United Kingdom

Remote Permanent

Systems Architect

This role involves designing and maintaining a modern, AI-powered revenue operations stack using Salesforce as a core platform. You'll build intelligent automations with Flows and Apex, develop custom integrations including AI tooling and MCP servers, and create SQL-based data pipelines for reporting. The role bridges Salesforce administration and backend development, working closely with engineering to implement scalable GTM systems that reflect real business workflows.

ElevenLabs United Kingdom

Remote Permanent

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to build a unified AI model for enterprise data.

NVIDIA Germany

On-site Permanent

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA

Regional Research Economist, Economic Research

This role involves conducting empirical economic research on AI's impact across labor markets, productivity, and economic transformation, using novel measurement systems and large-scale datasets. The economist will develop region-specific insights through the Anthropic Economic Index, collaborate with external partners, and translate findings into policy recommendations. Work includes methodological innovation in econometrics and machine learning, with a focus on real-world AI adoption patterns and societal outcomes.

Anthropic London, United Kingdom £180,000 – £190,000 pa

On-site Permanent

Staff Software Engineer, Kubernetes Platform

This role involves owning and scaling the Kubernetes control plane for large AI training clusters, including customizing the scheduler for topology-aware ML workloads and ensuring high availability under extreme scale. The engineer will build core platform services like service discovery, develop controllers and operators, and collaborate closely with research and infrastructure teams. The position demands deep expertise in distributed systems, Kubernetes internals, and debugging complex production issues across cloud environments.

Anthropic London, United Kingdom £325,000 – £485,000 pa

On-site Permanent

PhD Software Security - 2026 summer placement

This role involves researching and prototyping secure systems in defence and security contexts, with a focus on emerging threats, post-quantum cryptography, and trusted execution environments. You'll work on embedded and distributed software in adversarial settings, conduct threat analysis, and collaborate with experts across disciplines including AI, autonomy, and RF. The position supports full-cycle development from design to validation within multidisciplinary R&D teams.

Cambridge Consultants United Kingdom

On-site Internship Flexible Clearance Required

Software Engineer, ChatGPT Infrastructure

Design, build, and operate reliable, scalable systems supporting AI products like ChatGPT and the OpenAI API. Focus on performance optimization, system resilience, automation, and developer experience across distributed infrastructure. Collaborate with research, product, and engineering teams to improve reliability, scalability, and observability at global scale.

OpenAI London, United Kingdom

On-site Permanent

Research Scientist, Wayve Labs

This role involves advancing embodied AI for autonomous driving through research in world modeling, reinforcement learning, and 3D spatial understanding. The scientist will develop foundation models, scalable decision-making systems, and sim-to-real transfer techniques, working at the intersection of machine learning, robotics, and simulation. The position emphasizes long-horizon prediction, cross-embodiment learning, and evaluation framework development in a research-driven environment.

Wayve London, United Kingdom

On-site Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves designing and operating distributed training infrastructure for large physics models using NVIDIA DGX B200 systems, with a focus on optimizing training pipelines, data I/O performance, and model serving. The engineer will work closely with research scientists and ML engineers to enable efficient, scalable AI training and deployment in high-performance computing environments, while also building observability and reproducibility into the research workflow.

PhysicsX United Kingdom

Principal Machine Learning Infrastructure Engineer

This role focuses on designing and operating scalable machine learning infrastructure for training and serving large physics-based models. You'll work closely with research scientists and ML engineers to optimize distributed training pipelines, improve data I/O performance, and build reliable model serving systems. The position emphasizes systems-level problem-solving, infrastructure automation, and enabling fast, reproducible experimentation on high-performance GPU clusters.

PhysicsX London, United Kingdom

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

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

Hybrid Permanent Clearance Required

Senior Research Infrasructure Engineer

Senior Research Infrastructure EngineerLocation: Hampshire, South Coast / Hybrid Working AvailableThe OpportunityWe're supporting a leading research-led organisation in the search for a Senior Research Infrastructure Engineer to play a key role in the development and delivery of advanced research computing...

Tate London City Southampton, United Kingdom £51,000 – £63,000 pa