Latest research scientist Jobs

Principal AI Developer Technology Engineer

This role involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and other AI workloads. You'll collaborate with technical experts in industry and academia to deeply analyze and optimize complex AI and high-performance computing (HPC) algorithms for modern CPU and GPU architectures. The position also includes influencing future hardware and software design at NVIDIA and sharing optimization insights through blogs and conferences.

NVIDIA

On-site Permanent

Principal AI Developer Technology Engineer

Research and optimize AI workloads for GPU acceleration, focusing on deep learning, machine learning, and HPC algorithms across modern CPU and GPU architectures. Collaborate with experts in academia and industry to analyze and improve performance, while contributing to developer education and future hardware/software design. Publish findings and influence next-generation computing platforms through deep technical optimization and innovation.

NVIDIA Bristol, United Kingdom

Sr. Manager, Data Science , GBR)

Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral threat analysis, and AI-driven security automation. Translate business needs into technical research objectives and collaborate across security, engineering, and product teams to deliver production ML systems at scale. Work on high-impact problems involving reverse engineering, decompilation, and adversarial dynamics within a platform processing trillions of daily events.

CrowdStrike

Remote

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 translating R&D into practical tools using technologies like PyTorch, Kubeflow, and fastAPI. Frequent international travel is required for on-site collaboration.

PhysicsX United Kingdom

Hybrid Permanent

Principal CFD Engineer

Lead the development and delivery of high-fidelity, multi-physics simulation models integrated with AI tools, working directly with customers in aerospace, defense, and advanced industries. Focus on CFD, parametric CAD, and automation to enable design optimization and machine learning workflows. Mentor junior engineers and improve simulation practices while traveling globally to support on-site implementations.

PhysicsX England US$200,000 pa

Hybrid Permanent Clearance Required

Associate Director, Data Engineering

Lead the development and strategy of a unified data platform integrating wet and dry lab data to support drug discovery. Manage data engineering teams, optimize scientific compute pipelines using Nextflow and Seqera, and ensure FAIR data principles with strong governance and lineage. Operate in a highly interdisciplinary environment bridging biology, machine learning, and engineering.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Product Designer - Defence

Lead the design of bespoke, AI-native solutions for high-stakes defence clients, shaping intuitive user interfaces from concept to delivery. Conduct user research, develop wireframes and prototypes, and evolve design systems in collaboration with ML engineers and data scientists. Operate at the strategic level, influencing product direction and driving design excellence across the organisation.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

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

Senior Software Engineer

This role involves developing a scalable neurosymbolic AI platform, focusing on core systems like document ingestion, symbolic reasoning engines, and public API infrastructure. The engineer will solve novel problems at the intersection of LLMs and classical AI, such as encoding regulatory rules and improving system accuracy through feedback loops. Work spans backend development, cloud deployment, and cross-functional collaboration in a high-growth startup environment.

Unlikely AI London, United Kingdom

Hybrid Permanent

Staff Software Engineer

This role involves designing and building a scalable neurosymbolic AI platform that combines LLMs with symbolic reasoning for enterprise applications in compliance and financial services. You'll work on core systems including document ingestion, knowledge representation, and public API architecture, within a cross-functional monorepo environment. The role emphasizes technical leadership, production-quality engineering, and solving novel problems at the intersection of classical AI and modern generative models.

Unlikely AI London, United Kingdom

Hybrid Permanent

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

Research Engineer, Pretraining

This role involves conducting research and engineering to advance large language models, focusing on model architecture, optimization, and scalable training infrastructure. You'll work across the full stack—from low-level system optimizations to high-level model design—while contributing to scientific experiments and tooling. The position emphasizes collaboration, interpretability, and AI safety within a cohesive research team.

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

Research Infrasructure Engineer

This role involves supporting and developing large-scale research computing environments, including HPC, AI, and data-intensive infrastructure. The engineer will work closely with researchers to deliver secure, reliable, and scalable technical solutions, while also contributing to automation, documentation, and user training. The position supports advanced computing platforms in a hybrid working environment.

Tate London City Southampton, United Kingdom £41,000 – £49,000 pa

Hybrid Permanent

Senior Research Engineer - Video Foundation Models (Pre - Training)

This role involves developing and scaling latent video diffusion models for human-centric video generation, with a focus on improving control, fidelity, and efficiency. The engineer will work on distributed training strategies, evaluation frameworks, and inference optimization to deliver production-grade foundation models. The position bridges applied research and engineering, emphasizing real-world product impact through rapid experimentation and deployment.

Synthesia London, United Kingdom

Remote Permanent

Applied Research Engineer - Post-Training

The role involves owning the full post-training lifecycle of biological foundation models, designing pipelines to align them with therapeutic contexts, and validating performance against biological data. You will lead technical decisions, run end-to-end experiments on distributed GPU infrastructure, and ensure model outputs are scientifically meaningful for real drug discovery applications. Collaboration with ML infrastructure and biology teams is key, along with contributing to open-source tooling and advancing production systems.

Helical London, United Kingdom

On-site Permanent