Latest Data Science Jobs

Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to develop advanced compiler features and contribute to next-generation compute platforms. Analyze real-world workloads to drive improvements in both compiler toolchains and future CPU architectures.

NVIDIA Cambridge, United Kingdom

Senior CPU Compiler Performance Engineer

This role involves developing high-performance CPU compilers for NVIDIA's next-generation computing platforms, with a focus on AI and HPC workloads. You'll work on hardware-software co-design, optimising compiler toolchains for NVIDIA CPUs like Grace, and contributing to open-source projects such as LLVM and GCC. Collaboration with pre-silicon teams and upstream communities is central to improving performance across data centres and supercomputing environments.

NVIDIA

Research Scientist (Machine Learning), London

A Research Scientist in machine learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Senior Software Engineer (Inference Platform), London

Design and optimize large-scale AI/ML infrastructure for biotech research, focusing on GPU/TPU systems, Kubernetes orchestration, and inference platform reliability. Build robust monitoring, CI/CD, and job scheduling systems to support high-throughput model serving and digital biology breakthroughs.

Isomorphic Labs London, United Kingdom

On-site Permanent

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Work across the full ML lifecycle, from scalable architecture design to operationalisation, using cloud platforms and containerisation tools. Collaborate with cross-functional teams to deliver ethical, reliable AI solutions in real-world environments.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Full Stack Software Engineer

Build and scale AI-powered full-stack systems for global clients in regulated industries, collaborating with data scientists and product managers. Take ownership of frontend and backend architecture, turning machine learning outputs into production-ready solutions. Work in a technically rigorous environment focused on responsible AI deployment and long-term maintainability.

Faculty AI London, United Kingdom

Hybrid Permanent

Forward Deployed Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Develop scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle from prototyping to deployment using modern cloud and containerisation technologies.

Faculty London, United Kingdom

Permanent

Senior Forward Deployed Engineer

Design and build scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Lead technical architecture, deploy secure AI solutions on cloud platforms, and mentor engineering teams. Work cross-functionally to translate complex AI concepts into operational systems while adhering to rigorous ethical and security standards.

Faculty London, United Kingdom

Permanent

Sr. Software Engineer, Cloud Detection , London)

Design and scale backend services for a next-generation security detection platform processing internet-scale data streams. Focus on building resilient, high-performance systems using distributed technologies to enable real-time threat detection across the Falcon ecosystem. Collaborate across teams to innovate and improve platform architecture and execution.

CrowdStrike London, United Kingdom

Hybrid Permanent Clearance Required

Sr. Security Researcher , DEU)

Develop automated tools for large-scale data analysis, perform vulnerability research, reverse engineer exploits, and support threat intelligence efforts. Collaborate across teams to reproduce vulnerabilities and publish findings. Work on cutting-edge security challenges involving malware, infrastructure, and zero-day exploits.

CrowdStrike Germany

Remote Permanent

W

Director AV Product Engineering

Lead the Product Engineering group within AI Engineering, defining technical vision and strategy to deliver production-level autonomous vehicle capabilities using advanced AI models. Drive data-centric approaches and eval-driven development to meet KPIs across multiple OEM partnerships. Build and mentor engineering teams focused on Driving, ADAS, Parking, and HMI systems while establishing robust ML practices and scalable data pipelines.

Wayve United Kingdom US$440,000 – US$580,000 pa

Hybrid Permanent

W

Director of Platform Management for Simulation, Evaluation & Validation

Lead the product vision and strategy for Wayve’s simulation, evaluation, and validation platforms used to develop and test AI-driven autonomous vehicles. Guide cross-functional platform teams to build unified, high-performance developer tools that ensure safety, reliability, and rapid iteration. The role involves deep collaboration with engineering and science teams, setting quality standards, and shaping how AI systems are validated before real-world deployment.

Wayve United Kingdom US$332,000 – US$415,000 pa

Hybrid Permanent

Applied Scientist I

This role involves developing and training advanced machine learning models for digital identity verification, with a focus on areas like deepfake detection, bias mitigation, document understanding, and efficient on-device ML. The candidate will conduct research, build multimodal models using synthetic data, optimise training performance across GPUs, and collaborate with engineering teams to deploy solutions globally. Work includes creating large-scale datasets, benchmarking vision-language models, and improving fairness in biometric systems.

Entrust London, United Kingdom

Senior Machine Learning Research Engineer

Develop and scale generative and predictive machine learning models for cellular behaviour using multi-omic biological data. Build robust distributed training and inference systems, bridging ML research and production deployment in close collaboration with scientists. Optimize performance across compute, memory, and I/O while advancing core ML infrastructure in a highly interdisciplinary environment.

Relation Therapeutics London, United Kingdom

Permanent

Scientist, Model Systems

This role involves developing and optimizing cellular and biochemical assays using primary and immortalized cell lines, with a focus on fibrotic disease models. The scientist will conduct large-scale perturbation screens, apply multimodal readouts including transcriptomics and proteomics, and collaborate closely with cross-functional teams in biology, machine learning, and automation. Responsibilities include assay development, data analysis, and supporting the translation of workflows into high-throughput automated systems within a TechBio environment.

Relation Therapeutics London, United Kingdom

On-site Permanent