Latest Research Jobs

[Expression of Interest] Research Engineer / Scientist, Alignment - London

This role involves conducting experimental research in AI safety and alignment, focusing on risks from advanced AI systems. You'll design and run machine learning experiments—such as testing safety robustness, developing control methods, and stress-testing alignment—to improve the reliability and steerability of AI. The work is highly collaborative, involving contributions to research papers and close coordination with teams like Interpretability and Fine-Tuning.

Anthropic London, United Kingdom £260,000 – £370,000 pa

Hybrid Permanent

Elite Quant Researcher -Global Systematic Investment Firm/ London/ USA

This role involves researching and developing mathematical and statistical models for systematic investment strategies, using advanced techniques in machine learning and large-scale data analysis. The researcher will work across the full lifecycle—from hypothesis generation and model testing to production implementation—within a collaborative environment alongside portfolio managers and engineers. The position emphasizes original, rigorous research applied to global financial and alternative datasets.

eFinancialCareers London, United Kingdom

Quant Fund Recruiting Experienced Statistical Arbitrage Researcher Location

This role involves partnering with the research team to develop and refine intraday and systematic trading strategies using statistical arbitrage. You will analyze large-scale market data, build predictive models, and collaborate with technology teams to integrate these models into advanced trading infrastructure. The position is ideal for those who want to be involved in all aspects of the research, trading, and coding process in a collaborative start-up environment.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Member of Technical Staff, Integration/RL Team (Research Engineer)

This role involves developing and scaling machine learning algorithms and infrastructure for large-scale, distributed reinforcement learning. You will design and implement high-performance software, optimize post-training algorithms, and collaborate with engineering and scientific teams to enhance the quality of the post-training codebase.

Cohere London, United Kingdom

Remote Permanent

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives in a high-performance computing environment, focusing on scalable AI models for multi-physics simulation in engineering and science. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, mentoring junior staff, and shaping technical strategy. Work spans cloud and on-premise infrastructure with a strong emphasis on MLOps, software engineering best practices, and real-world deployment across advanced industries.

PhysicsX 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

Senior Solutions Architect, Higher Education and Research

Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate on high-impact research projects at supercomputing scale, integrate NVIDIA frameworks into scientific workflows, and deliver training and technical content. Bridge researcher needs with product development by prototyping solutions and providing feedback to engineering teams.

NVIDIA Reading, United Kingdom

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will drive adoption of NVIDIA technologies by integrating frameworks into large-scale research projects, supporting publications, and delivering technical training. Key responsibilities include prototyping solutions, mentoring researchers, and providing feedback to engineering teams based on emerging trends in LLMs and open models.

NVIDIA Cambridge, United Kingdom

Forward Deployed Engineer - Software Engineer - United Kingdom

This role involves working closely with ElevenLabs' most strategic customers to design and implement high-impact technical solutions. Responsibilities include full ownership of major projects, collaborating with customer teams, and driving innovation through coding and problem-solving.

ElevenLabs London, United Kingdom

Remote Permanent

Developer Experience Engineer

This role focuses on enhancing the developer experience for ElevenLabs' AI platforms by building and maintaining open-source SDKs, improving API design, and creating developer tooling. The engineer will act as 'customer zero' for new products, contribute to technical content, and support developer adoption through hands-on engineering and community engagement. The position emphasizes full-stack development, API craftsmanship, and active participation in the open-source and developer conference ecosystem.

ElevenLabs London, United Kingdom

Remote Permanent

Software Engineer, Cloud Infrastructure

Design and build scalable, secure cloud infrastructure platforms that support OpenAI's products, including ChatGPT and the API. Work with Kubernetes, networking, and cloud abstractions while ensuring system reliability and contributing to a safety-first culture. Participate in on-call rotations and help scale systems to meet growing demand.

OpenAI London, United Kingdom

Permanent

Machine Learning Scientist

This role involves designing and prototyping novel generative machine learning models for protein design, with close collaboration between computational and experimental teams. The scientist will build scalable data pipelines, optimize deep learning models for performance, and iteratively refine models based on wet lab feedback. A strong emphasis is placed on code quality, interdisciplinary collaboration, and translating model outputs into real-world biological functions.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab validation cycles. Work in a cross-disciplinary team to build scalable data pipelines, optimize model performance, and deploy models that function in real-world biological assays. Engage in continuous learning of protein and cell biology to inform model development and contribute to scientific advancement in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Forward Deployed Engineer - London (Spanish-speaking)

This role involves leading end-to-end technical deployments of cutting-edge AI models for strategic customers, from prototyping to production. The engineer will build full-stack systems, deeply integrate with customer teams, and translate field feedback into product and model improvements. Success is measured by real-world adoption and measurable impact on customer workflows.

OpenAI London, United Kingdom

Permanent

Senior Machine Learning Engineer

This role involves working on complex R&D projects in speech technology, collaborating with a diverse team of engineers, and staying current with the latest developments in machine learning. The focus is on training and deploying advanced speech recognition models, with an emphasis on innovation and best engineering practices.

Speechmatics Cambridge, United Kingdom