Latest Data Scientist Jobs

Principal Machine Learning Engineer

This role involves deploying and scaling machine learning models for high-fidelity engineering simulations, working directly with customers to integrate AI into production environments. The Principal ML Engineer will lead technical architecture, build robust data and inference pipelines using Python, PyTorch, and Kubeflow, and mentor teams across global customer sites. The position bridges advanced physics-based challenges with practical AI solutions in industries like aerospace, energy, and semiconductors.

PhysicsX United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. You'll work closely with customers, data scientists, and ML engineers to design end-to-end tools that integrate physics AI models into real-world engineering workflows. The position emphasizes rapid prototyping, full-stack development, and translating cross-industry challenges into scalable software solutions.

PhysicsX United Kingdom

Machine Learning Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. The engineer will lead technical architecture decisions, operationalise models using frameworks like TensorFlow and PyTorch, and develop scalable ML infrastructure. Collaboration with cross-functional teams and direct client engagement are key, with a focus on translating complex AI concepts into real-world solutions.

Faculty London, United Kingdom

Hybrid Permanent

Developer Technology Engineering Intern - Compute Performance

You will research and develop GPU-acceleration techniques for high-performance computing applications in scientific computing, computational engineering, and data science. This involves optimizing algorithms, collaborating with application developers, and working with NVIDIA's architecture and research teams to influence future GPU designs.

NVIDIA Bristol, United Kingdom

Developer Technology Engineering Intern - Compute Performance

In this role, you will research and develop GPU-acceleration techniques for high-performance computing applications in scientific computing, computational engineering, and data science. You will work closely with application developers and NVIDIA teams to optimize performance and influence the design of next-generation GPU architectures and software platforms.

NVIDIA

Research Leader (Toxicology), Cambridge, MA

Lead toxicology strategy for drug discovery projects using an AI-first approach, guiding safety assessment from early discovery to regulatory submission. Develop predictive toxicology models in collaboration with machine learning teams and external CROs. Mentor team members and contribute to reducing animal testing through innovative, data-driven methodologies.

Isomorphic Labs Cambridge, United Kingdom

Associate Director, Platform Engineering

Lead and develop the platform engineering team responsible for hybrid infrastructure, Kubernetes-based clusters, and scientific compute environments that support machine learning and drug discovery workflows. Define platform strategy, ensure robust CI/CD, observability, and security, and act as a technical leader across engineering and data science. The role involves shaping a developer platform tailored to computational scientists and genomic data pipelines in a high-impact TechBio environment.

Relation Therapeutics London, United Kingdom

Permanent

Principal Machine Learning Engineer GAIA

This role involves leading and improving the training and performance of Gaia, Wayve's world model for autonomous driving. Responsibilities include fine-tuning the model, enhancing its stability and steerability, and collaborating with cross-functional teams to drive measurable impact.

Wayve London, United Kingdom

ML Research Engineer, London

Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work closely with scientists to build predictive and generative models using advanced deep learning techniques, with a focus on innovation in computational biology and chemistry. Contribute to a collaborative, interdisciplinary team advancing a digital biology platform for transformative medicine development.

Isomorphic Labs London, United Kingdom

On-site Permanent

Senior Software Engineer - Runtime Platform, Robot Software

This role involves developing and optimizing the software stack for Wayve's autonomous driving vehicles, focusing on performance, latency, and system efficiency. You will work closely with multiple teams to identify and resolve bottlenecks, implement profiling tools, and enhance the overall system performance.

Wayve London, United Kingdom

Software Developer - Biology

This role involves developing scalable software systems to support virtual drug discovery, focusing on integrating bio foundation models into production workflows. The developer will build and optimize pipelines for biological data processing, create tools for data visualization and quality control, and collaborate with ML scientists and engineers. The position sits at the intersection of computational biology and software engineering within a high-growth startup environment.

Helical London, United Kingdom

Hybrid Permanent

Applied AI Engineer, Beneficial Deployments (Life Sciences - Clinical Trials/Drug Repurposing)

This role involves working with nonprofits, research institutes, and academic medical centers to deploy AI in clinical trials and drug repurposing for rare and neglected diseases. Responsibilities include designing and reviewing clinical trial protocols, building tools for drug repurposing, and developing reusable infrastructure.

Anthropic London, United Kingdom £225,000 – £255,000 pa

Member of Technical Staff

This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will design production-grade API integrations, data pipelines, and model-serving infrastructure while working on-site to troubleshoot and deliver solutions. The position emphasizes customer collaboration, enterprise-grade deployment standards, and translating real-world feedback into product improvements.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Senior Software Engineer - Agentic Workflows

Design and build scalable web applications and API services for a biomedical knowledge platform using Node.js, TypeScript, and modern fullstack technologies. Collaborate with product and research teams to deliver features across the development lifecycle. Work with graph databases, full-text search, and cloud infrastructure in a high-impact AI environment.

Causaly London, United Kingdom

Hybrid Permanent