Latest ml 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 translating R&D into practical tools using Python, PyTorch, and cloud/on-prem infrastructure. Frequent international travel and on-site collaboration are key aspects of the role.

PhysicsX London, United Kingdom

CFD Multiphase & DEM Engineer

Develop and validate high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating with AI-driven simulation workflows. Work across the full simulation lifecycle—from CAD and meshing to solver development, HPC execution, and experimental validation—while collaborating directly with clients to solve complex engineering challenges. Focus on scalable automation, surrogate modelling, and data pipelines to enable AI-enhanced design optimisation.

PhysicsX United Kingdom

Hybrid Permanent

Staff Software Engineer (Inference Platform), London

This role involves leading the reliability and scalability of AI/ML infrastructure for drug discovery, focusing on GPU/TPU systems, Kubernetes orchestration, and inference services. The engineer will design test harnesses, improve monitoring and CI/CD stability, and ensure high-throughput model serving. Work is closely aligned with research and applied ML teams to support biotech R&D at digital speed.

Isomorphic Labs London, United Kingdom

On-site Permanent

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-driven drug discovery systems by designing risk frameworks, protecting ML model artifacts, and implementing security controls across the AI lifecycle. The engineer will lead incident response for AI-specific threats, safeguard autonomous agentic workflows, and ensure compliance with evolving regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into high-velocity scientific innovation.

Isomorphic Labs United Kingdom

Hybrid Permanent

Embedded Machine Learning Engineer | ML/AI | Up to

This role involves developing intelligent embedded systems using Python, C, and C++, applying machine learning and computer vision to real-world applications, and working with microcontrollers, sensors, and connected hardware. You will collaborate directly with clients to shape and deliver innovative solutions, taking projects from concept to finished product.

SoCode Impington, Cambridgeshire, United Kingdom £50,000 – £80,000 pa

Full Stack Software Engineer - AI/ML - Security Cleared

Develop full stack applications that integrate AI/ML and computer vision capabilities into production-ready software for national security and defence applications. Work across the software lifecycle, building scalable backend services, user interfaces, and tools for visualising image and video data, while collaborating closely with AI specialists to deploy models into operational environments.

Searchability NS&D Hounslow, TW3 1DA, United Kingdom £45,000 – £90,000 pa

Anthropic Fellows Program, ML Systems & Reinforcement Learning

Engage in a 4-month full-time empirical research project on ML systems and performance, mentored by Anthropic researchers. Work includes building CPU simulators, accelerator backends, or synthetic data pipelines using open-source tools and large-scale systems. Projects aim for public outputs such as papers, with access to significant compute resources and a collaborative AI safety research environment.

Anthropic United Kingdom

Hybrid Internship

Machine Learning Team Lead

As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. You will mentor the team, ensure robust and scalable solutions, and drive the adoption of best practices in software engineering and ML.

Speechmatics Cambridge, United Kingdom

Machine Learning Team Lead

As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. Your responsibilities include technical oversight, mentoring, and ensuring best practices in software engineering and model deployment.

Speechmatics London, United Kingdom

Machine Learning Engineering Lead

This role involves leading and developing a team of ML and MLOps engineers, owning the delivery and technical execution of ML systems, and driving the evolution of machine learning infrastructure and MLOps capabilities. The position combines hands-on technical work with strategic leadership in a growing fintech with a strong engineering culture.

Harnham - Data and Analytics Recruitment London, United Kingdom £100,000 – £125,000 pa

Research Associate in Machine Learning and Natural Language Processing

Conduct research in natural language processing and machine learning to analyse online disinformation and develop an AI-powered chatbot for stakeholders such as journalists and policymakers. Work within European-funded projects, collaborating with international partners to publish findings and translate technical insights into practical toolkits. Engage in high-impact dissemination through journals, conferences, and stakeholder demonstrations.

University of Sheffield Sheffield, Hybrid, Northern England, United Kingdom £38 – £47 pa

Contract

Machine Learning Engineer- World-Leading Prop Trading Fund

This role involves working on the ML platform of a leading prop trading fund, focusing on enhancing research workflows, building and maintaining training and inference infrastructure, and applying various ML techniques to aid decision-making. The team values a strong mathematical foundation and a passion for the latest advancements in ML.

eFinancialCareers London, United Kingdom

On-site Permanent

Software Engineering Manager - Machine Learning- Systematic Quant Fund

This role involves leading a team of experienced engineers to develop and maintain core machine learning infrastructure, including distributed model training, LLM hosting, and scalable deployment systems. You will drive technical direction and integrate advanced ML capabilities into high-stakes systems within a deeply technical environment.

eFinancialCareers London, United Kingdom

On-site Permanent

Staff Software Engineer, Kubernetes Platform

This role involves owning and scaling the Kubernetes control plane for large AI training clusters, including customizing the scheduler for topology-aware ML workloads and ensuring high availability under extreme scale. The engineer will build core platform services like service discovery, develop controllers and operators, and collaborate closely with research and infrastructure teams. The position demands deep expertise in distributed systems, Kubernetes internals, and debugging complex production issues across cloud environments.

Anthropic London, United Kingdom £325,000 – £485,000 pa

On-site Permanent

Modelling Engineer

Develop pre-silicon software models for AI accelerator hardware to support architecture exploration, performance analysis, and early software development. Work closely with hardware, software, and machine learning teams in a co-design environment. Focus on functional, architectural, and performance modelling using SystemC, C/C++, and Python.

Fractile Bristol, United Kingdom

Hybrid Permanent