Latest researcher Jobs

Staff Software Engineer, Infrastructure (Distributed Systems)

This role involves leading the design and implementation of large-scale distributed systems that support AI model training, serving, and security. You'll drive architectural decisions, improve reliability and scalability, and collaborate closely with research and product teams to evolve infrastructure in line with evolving needs. The position emphasizes technical leadership, operational excellence, and mentoring within a high-impact AI research environment.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Product Manager, Business Technology

This role involves owning and driving the development of internal products powered by Claude, Anthropic's AI system, across departments like Legal, IT, Finance, and Security. The Product Manager will identify inefficiencies, define problem statements, and ship automation solutions that measurably improve team outcomes. Success is measured through adoption, business impact, and effective change management, requiring close collaboration with engineering, security, and business leaders.

Anthropic London, United Kingdom £190,000 – £240,000 pa

Senior Performance Engineer

Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. Design and execute performance studies to establish baselines, diagnose regressions, and quantify bottlenecks. Define evaluation methodologies and success metrics for AI workloads, using profiling and data analysis to drive optimization. Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

NVIDIA

Senior Performance Engineer

This role involves analyzing end-to-end performance of large-scale AI workloads across compute, networking, storage, and software stacks. The engineer will design performance studies, diagnose bottlenecks, and develop optimization strategies for AI systems running on NVIDIA's DGX Cloud infrastructure. Work includes close collaboration with deep learning engineers, platform teams, and architects to deliver measurable performance improvements at scale.

NVIDIA

Medical Fellow - Human Frontier Collective (UK)

This role involves applying clinical expertise to evaluate and shape advanced generative AI systems in healthcare contexts. Fellows will design clinical scenarios, assess AI decision-making for safety and accuracy, and contribute to research publications. The position emphasizes interdisciplinary collaboration, structured feedback, and advancing human-centered AI in real-world medical applications.

Scale AI United Kingdom

Remote Freelance Flexible

STEM Fellow - Human Frontier Collective (UK)

This role involves collaborating on high-impact AI research projects by designing domain-specific challenges and datasets to evaluate advanced generative AI systems. Fellows contribute expert insights to improve model reasoning and performance, co-author technical publications, and engage with a global network of leading researchers. The position is research-intensive, interdisciplinary, and focused on advancing human-centered AI through applied, domain-driven evaluation.

Scale AI United Kingdom

Remote Contract Flexible

Research Scientist (Virologist), Chem-Bio

This role involves designing and interpreting technical evaluations of AI systems with biological capabilities, focusing on virology and biosecurity risks. The Research Scientist will translate complex scientific questions into rigorous empirical assessments, evaluate model outputs for biological plausibility, and communicate findings to government decision-makers. The position sits at the intersection of AI safety, virology, and policy, requiring deep technical expertise and discretion in handling dual-use research.

AI Security Institute London, United Kingdom

Research Associate for Machine Learning Modelling for Next-Level Fast Nonlinear Wave-Structure Interaction

Develop fast, physically interpretable models for nonlinear wave-structure interaction on floating offshore platforms using analytical and computational hydrodynamics, BEM, and reduced-order modelling. Integrate machine learning where beneficial and validate models using numerical, experimental, and field data. Collaborate with academic and industrial partners and contribute to publications and postgraduate supervision.

The University of Manchester Manchester, Northern England, United Kingdom £37 – £46 pa

Contract

Software Engineer (Data Services), London

You'll work on building and scaling data services for a cutting-edge AI-driven drug discovery platform, integrating and serving large-scale scientific datasets. The role involves close collaboration with ML researchers and scientists in a fast-paced, interdisciplinary environment. You'll help design robust data architectures and systems that power high-velocity research and digital biology innovation.

Isomorphic Labs London, United Kingdom

On-site 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

Applied AI Architect, Education

This role involves serving as the senior technical advisor for education-sector customers, guiding institutions through the strategic adoption of OpenAI's technologies across teaching, research, and administration. The Applied AI Architect designs secure, scalable AI solutions tailored to academic environments, leading discovery, use-case development, and production deployment while navigating complex stakeholder landscapes and responsible AI practices.

OpenAI London, United Kingdom

Hybrid Permanent

Senior Research Engineer - Data

This role focuses on building and enhancing large-scale data pipelines for generative AI models, working with vast amounts of video and audio data to improve model performance through data quality, curation, and feature extraction. The position bridges applied research, data engineering, and ML infrastructure, collaborating closely with model training teams to deliver high-impact datasets. It emphasizes ownership in shaping data strategy and infrastructure within a fast-moving AI research environment.

Synthesia London, United Kingdom

Remote Permanent

Software Engineer (Principal level)

A Principal-level Software Engineer will lead backend architecture and stability initiatives across a large engineering organization, driving cross-team projects and long-term technical strategy. The role involves solving systemic challenges in a high-scale SaaS environment, working across React and Python monolith systems, and aligning engineering outcomes with commercial goals. Unique exposure to in-house AI research and enterprise-grade video generation technology provides a distinctive technical context.

Synthesia London, 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

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