Latest ml scientist Jobs

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers and customers to solve complex physics and engineering challenges using AI. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. Engineers will also travel to customer sites globally to implement solutions on-site, ensuring practical, impactful delivery across industries like aerospace, energy, and semiconductors.

PhysicsX England £150,000 – £190,000 pa

On-site Permanent Clearance Required

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 globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Security Engineering Manager, London or Lausanne

Lead and scale a security engineering team at the forefront of AI-driven drug discovery, designing and implementing a robust, AI-first security architecture for a digital biology platform. Translate complex scientific and business objectives into secure, automated systems while enabling high-velocity research in a regulated, interdisciplinary environment. Collaborate closely with ML researchers, medical teams, and Google/Alphabet stakeholders to secure cloud infrastructure, AI workflows, and sensitive life sciences data.

Isomorphic Labs United Kingdom

Associate Director, Clinical Program Management, Cambridge, MA

The Clinical Program Manager will lead the transition of internal drug programs from pre-IND to clinical trial execution, managing cross-functional teams, timelines, budgets, and vendor partnerships. The role involves close collaboration with preclinical, AI/ML, and data science teams to integrate emerging technologies into clinical development. This is a hybrid position requiring 3 days per week in the Cambridge, MA office.

Isomorphic Labs England

Hybrid Permanent

Lead Alpha Researcher

Lead a team of researchers in developing and deploying alpha signals and predictive models within a systematic equities trading environment. Drive research methodology, validation standards, and scalable modelling frameworks while collaborating with traders and developers. Focus on generating profitable, orthogonal trading strategies with a strong scientific foundation.

eFinancialCareers London, United Kingdom £300,000 pa

Software Engineer - Advanced Signal Procesing & AI

Location: UK Wide (Hybrid/On-site as required)Outside IR35 - Rate £50-£80 p/hSecurity Clearance: Must be eligible to obtain and maintain UK Security Clearance (SC)RC Fornax is looking for a Software Engineer – Advanced Signal Processing & AI. This is an exciting...

RC Fornax United Kingdom £50 – £80 ph

Research Engineer, Pretraining

A Research Engineer on the Pretraining team will bridge cutting-edge AI research and large-scale systems engineering, focusing on advancing large language models through work in model architecture, training optimization, and data processing. The role involves deep collaboration across research and engineering, with hands-on contributions to the full stack—from low-level infrastructure to high-level model design. Key projects include optimizing attention mechanisms, scaling distributed training, and improving model interpretability.

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

On-site Permanent

Senior/Research Assistant, Genomics

This role involves end-to-end execution of single-cell RNA-seq and ATAC-seq workflows to generate high-quality genomics data for large-scale perturbation studies. The individual will work at the interface of wet-lab biology and automation, preparing sequencing libraries, ensuring rigorous sample tracking, and collaborating closely with computational and engineering teams to scale protocols. The position plays a key role in transforming functional genomics data into machine learning-ready outputs for drug discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

ML Platform Engineer

Design and improve platform systems for model training, evaluation, and production serving. Build reliable, scalable infrastructure and tooling for ML workloads, with a focus on automation, observability, and developer experience. Collaborate with researchers and engineers to develop abstractions that reduce operational overhead in GPU and cloud environments.

Synthesia London, United Kingdom

Remote Permanent

Staff ML Performance Engineer (Compiler)

This role focuses on optimizing machine learning inference performance for edge accelerators and GPUs, particularly for running large transformer models efficiently on low-power in-vehicle systems. The engineer will work across compilers, runtimes, and kernels to deliver measurable improvements in latency, memory, and power, while collaborating closely with model developers and contributing to early-stage, high-impact projects. The position involves deep technical work on multiple hardware platforms and shaping performance engineering standards across the team.

Wayve London, United Kingdom

Staff ML Performance Engineer (Inference Optimisation)

Optimise machine learning inference performance for edge and GPU accelerators, focusing on efficient execution of large transformer models in low-power, cost-constrained environments. Work across the full stack—from model graphs and compilers to kernels and embedded deployment—to deliver measurable improvements in latency, memory, and power. Collaborate with model developers and contribute to tooling and technical roadmaps for production-grade autonomous driving systems.

Wayve London, United Kingdom

Hybrid Permanent

Senior ML Engineer, Doc Fraud

This role involves building and optimizing production-scale machine learning systems for document classification and extraction, focusing on fraud detection in government-issued IDs. The engineer will work with VLMs/LLMs and traditional ML models, design training and inference pipelines, and integrate solutions into customer-facing products. Collaboration with applied science, product, and operations teams is key to delivering accurate, real-time document verification experiences.

Entrust London, United Kingdom

Hybrid Permanent

Senior ML Engineer, Doc Fraud

Design and build high-accuracy document classification and extraction systems using LLMs and traditional ML, integrated into identity verification products. Focus on scalable production pipelines, inference optimization, and cross-team collaboration to improve fraud detection across global document types.

Entrust

Hybrid

Principal ML Platform Engineer

Design and build scalable, reliable systems for training, serving, and operating generative AI models in production. Develop internal tooling and agentic workflows to reduce manual effort and improve automation across research and product teams. Collaborate with researchers and engineers to enhance platform observability, debugging, and developer experience at scale.

Synthesia London, United Kingdom

Remote Permanent

Principal ML Engineer

This role involves providing technical leadership in machine learning while remaining deeply involved in hands-on development of large-scale production systems. You'll design and optimise models for recommendation engines, bidding algorithms, and customer lifetime value prediction, with a strong focus on MLOps, model observability, and infrastructure. The position offers influence over ML strategy within a profitable AI-driven scale-up operating in AdTech and digital personalisation.

Harnham - Data and Analytics Recruitment Germany, United Kingdom €120,000 – €150,000 pa