Latest ml scientist Jobs

PhysicsX logo

Principal Machine Learning Engineer

Develop and deploy machine learning models integrated with engineering simulation data, focusing on scalable pipelines and real-world deployment in high-fidelity physics environments. Work directly with customers to translate AI research into production-grade tools, using 3D data, time-series forecasting, and optimization models. Lead technical architecture, mentor teams, and travel on-site to support implementation across aerospace, energy, and advanced manufacturing sectors.

PhysicsX United Kingdom
Hybrid Permanent
PhysicsX logo

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
Amazon logo

Senior Solutions Architect, WWPS Global Defence Partners

Lead technical engagements with defence-sector partners to design and implement cloud solutions on AWS, focusing on AI/ML, HPC, digital engineering, and data platforms. Translate mission-critical requirements into secure, scalable architectures while advising on compliance and modernization strategies. Drive adoption across systems integrators and technology partners through executive-level collaboration and architectural leadership.

Amazon London, United Kingdom
Hybrid Permanent Clearance Required
Amazon logo

Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team

This role involves working closely with enterprise energy and industrial customers to design cloud-native solutions on AWS, focusing on data platforms, AI/ML, and generative AI use cases such as predictive maintenance and operational optimisation. The architect will lead technical engagements, develop reference architectures, and act as a trusted advisor, bridging business needs with advanced technology. Emphasis is placed on innovation, thought leadership, and educating customers through workshops and technical content creation.

Amazon London, United Kingdom
Hybrid Permanent

Senior AI Operations Manager

This role involves managing the operational performance and reliability of enterprise AI platforms in production, with a focus on incident management, monitoring, SLAs, and DevOps practices. The individual will ensure operational readiness, support continuous improvement, and coordinate with distributed teams while applying principles of AI governance and responsible AI. The position requires strong technical leadership in cloud-based AI environments, particularly with Microsoft Azure AI and Co-pilot.

eTech Partners London, United Kingdom £90,000 – £100,000 pa
Remote

Machine Learning Ops Engineer

This role involves designing, deploying, and maintaining machine learning models in production using Azure Machine Learning Studio, with a focus on MLOps practices such as automated retraining, model monitoring, and pipeline integration. The engineer will collaborate with actuarial and analytics teams to improve predictions in areas like longevity and investment risk, while building scalable data pipelines using Python, SQL, and Azure Data Factory. A strong emphasis is placed on CI/CD, model lifecycle management, and translating technical outputs into actionable business insights.

Proactive Appointments London, United Kingdom £45,000 – £60,000 pa
Remote Permanent

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on performance optimization, debugging across hardware and training dynamics, and ensuring reliable, scalable model training. The position requires deep technical expertise in distributed systems and ML frameworks, with hands-on responsibilities during high-pressure model launches and a strong emphasis on operational reliability and cross-team coordination.

Anthropic London, United Kingdom £260,000 – £630,000 pa
On-site Permanent

Principal Machine Learning Engineer

Develop and deploy advanced machine learning models for speech recognition, translating research into scalable production systems. Lead technical innovation, mentor engineering teams, and shape the long-term ML vision. Work across the full model lifecycle, from training and optimisation to deployment and best practices in MLOps and distributed systems.

Speechmatics London, United Kingdom

Principal Machine Learning Engineer

Develop and deploy advanced speech recognition models, translating research into scalable production systems. Lead technical innovation, mentor engineers, and shape the long-term ML vision. Work across the full stack of model development, optimisation, and deployment using state-of-the-art techniques in transformers, distributed training, and inference efficiency.

Speechmatics Cambridge, United Kingdom

Talent Pool

This role is part of an open talent pool for future opportunities at Relation Therapeutics, a tech-driven biotech company focused on drug discovery using single-cell multi-omics and machine learning. The company seeks candidates in computational and discovery life sciences, as well as ML engineering with high-performance GPU computing experience. Positions will support interdisciplinary research and development in London’s state-of-the-art labs, contributing to transformative therapies for diseases like fibrosis, osteoarthritis, and osteoporosis.

Relation Therapeutics London, United Kingdom
On-site Permanent

Quantitative Researcher

Develop predictive models using high-frequency and alternative data to generate alpha in equities and futures markets. Work closely with developers to implement and optimize ML-driven trading signals, leveraging cutting-edge techniques in deep learning, NLP, and tree-based models within a collaborative research environment.

eFinancialCareers London, United Kingdom £200,000 pa
On-site Permanent

Machine Learning Researcher at leading Market Maker / Hedge Fund

A Machine Learning Researcher will work across trading and engineering teams to extract actionable signals from large-scale market data, applying ML and AI techniques to improve trading performance and operational efficiency. The role emphasizes collaboration, knowledge sharing across asset classes, and developing innovative solutions to real-world trading problems using advanced computational methods.

eFinancialCareers London, United Kingdom £200,000 pa
On-site Permanent
Faculty AI logo

Lead Software Engineer

Lead the technical direction of AI and machine learning projects, designing production-grade systems and guiding cross-functional teams. Drive architectural decisions, mentor engineers, and deliver innovative solutions for clients in the energy and sustainability sector. Focus on reusable tools, scalable infrastructure, and high-impact delivery in a fast-paced environment.

Faculty AI London, United Kingdom
Hybrid Permanent
Faculty AI logo

Senior Manager

Lead and deliver complex AI-driven transformation programmes for UK government and public sector clients, managing portfolios from strategy through to product delivery. Develop proposals, mentor teams, and build trusted relationships with senior stakeholders. Work across multiple mission areas including the Home Office and Department for Education, combining technical understanding with strategic consulting to drive meaningful public impact.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required
Wayve logo

Senior Cloud Site Reliability Engineer

This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development and GPU Compute platforms. The engineer will define SRE frameworks, automation, and operational standards for large-scale, distributed systems supporting AI training and inference. Key responsibilities include incident response, observability, capacity planning, and improving deployment safety across cloud infrastructure.

Wayve London, United Kingdom
On-site Permanent