Latest data science scientist Jobs

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites globally. The position operates at the intersection of data science and software engineering, focusing on real-world impact in advanced industries.

PhysicsX London, United Kingdom

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multi-physics simulation models, particularly in multiphase CFD and coupled CFD-DEM, to support AI-driven engineering solutions. The engineer will work directly with customers across industries like aerospace, energy, and automotive to build and validate complex simulations, automate workflows, and generate data for machine learning. Key responsibilities include geometry processing, meshing, simulation, and optimisation using tools like Star-CCM+, OpenFOAM, or Fluent, alongside Python scripting and parametric CAD integration.

PhysicsX London, United Kingdom

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows on NVIDIA platforms. Responsibilities include CUDA performance optimization, profiling, and working with customer and partner engineering teams to deliver measurable speedups and scalable performance on multi-GPU and multi-node systems.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune HPC applications, develop reference implementations, and collaborate with customers and internal teams to deliver scalable multi-GPU solutions. Work includes deep technical engagement on performance, memory, and concurrency across complex scientific computing pipelines.

NVIDIA

Remote Permanent

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

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

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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

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

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

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

Quant Researcher - ML - Selby Jennings

About the CompanyOur client is a boutique investment firm at the forefront of quantitative investing, combining advanced machine learning, artificial intelligence, and fundamental research to support investment decision-making. The firm has built a sophisticated in-house data and analytics platform that...

eFinancialCareers London, United Kingdom

Technical Deployment Lead

Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, managing product scoping, stakeholder engagement, and deployment execution. Translate business objectives into technical roadmaps, coordinate cross-functional teams, and define measurable impact while navigating compliance and organizational complexity. Help build scalable deployment playbooks and feed real-world insights back into product and research.

Anthropic London, United Kingdom £165,000 – £230,000 pa

Technical Architect - AI

This role involves leading the architecture and hands-on development of production-grade AI systems, including agentic workflows, GenAI applications, and MLOps platforms. The individual will spend 80% of their time coding and designing scalable, resilient systems while mentoring engineering teams and driving delivery governance across multiple concurrent AI initiatives. Key focus areas include autonomous automation, synthetic data generation, and integrating AI coding assistants into CI/CD pipelines.

PRACYVA United Kingdom £500 – £600 pd

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