Latest ml scientist Jobs

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

CFD Multiphase & DEM Engineer

This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications across aerospace, energy, and manufacturing. The engineer will work directly with customers to build automated, scalable simulation workflows integrated with AI-driven surrogate models, using tools like Star-CCM+, OpenFOAM, or Fluent alongside Python and parametric CAD. Emphasis is placed on smart sampling, model validation, and mentoring within a collaborative, high-performance engineering culture.

PhysicsX London, United Kingdom

AI Data Associate - Portuguese, Artificial General Intelligence

This role involves performing foundational data labeling tasks across text, speech, audio, and video to improve Alexa's performance. The associate will assess dialogue quality, annotate multimodal data, and ensure high accuracy using internal tools. Emphasis is placed on attention to detail, operational efficiency, and maintaining strict data confidentiality within a structured office-based team environment.

Amazon London, United Kingdom

On-site Permanent

Global Head of Applied AI & Decision Systems - Commodities & Global Markets - Macquarie Group

Lead the global strategy for applied AI and decision systems within a financial markets and commodities context, driving enterprise-scale AI deployment across trading, risk, and operations. Focus on turning experimental AI into production-grade, governed systems with measurable business impact, working closely with engineering, risk, and business units. Emphasis on agentic AI, LLMs, and safe orchestration in regulated environments.

eFinancialCareers London, United Kingdom

Quantitative Researcher Machine Learning - eFinancialCareers

The Quantitative Researcher will work closely with the algorithmic and technical teams to develop machine learning models that drive trading performance. Key responsibilities include building ML capabilities, developing trading indicators, and collaborating with senior leaders to shape a strategic approach to machine learning.

eFinancialCareers London, United Kingdom

On-site Permanent

Lead Machine Learning Engineer

Lead Machine Learning Engineer to define technical direction for complex AI projects, design scalable ML systems, and guide delivery across high-risk, ill-defined environments. Will lead architectural decisions, mentor engineers, develop reusable tools, and act as a technical advisor to clients in regulated sectors. Focus on operationalising models using Python and major cloud platforms with containerised deployment via Docker and Kubernetes.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Manager

Lead the delivery of AI-powered agents for critical processes in life sciences and healthcare, acting as a bridge between advanced technology and real-world impact. Drive enterprise implementations, manage high-stakes client relationships, and shape product development through direct customer insights. Work across engineering, data science, and business teams to scale solutions and build reusable delivery frameworks.

Faculty AI London, United Kingdom

Hybrid Permanent

Manager, AI Deployment Engineering - Large Enterprise

Lead and mentor a team of AI Deployment Engineers focused on guiding large enterprise customers through the technical implementation and production deployment of Generative AI solutions. Drive platform integration, translate customer needs into product roadmaps, and act as a trusted technical advisor to executive stakeholders. Emphasis is on safe, scalable AI adoption across complex global organisations.

OpenAI London, United Kingdom

Hybrid Permanent

Applied AI Engineer

Design and deploy AI systems for enterprise clients, translating business needs into technical architectures and production implementations. Work hands-on with code, evaluation frameworks, and integrations while guiding customers from prototype to scalable, reliable deployment. Collaborate across OpenAI teams to turn real-world deployment insights into product improvements and reusable solutions.

OpenAI London, United Kingdom

Hybrid Permanent

AI Test Engineer (SC Cleared)

This role involves leading end-to-end testing strategies for AI and data-driven systems in a regulated enterprise environment. The engineer will design validation frameworks for AI models, including Generative AI and RAG solutions, integrate testing into CI/CD pipelines, and ensure compliance with security, accessibility, and performance standards. The position requires hands-on technical work alongside strategic oversight and mentoring within a hybrid setup in London.

Adecco London, City And County Of the City Of London, United Kingdom £600 – £650 pd

Delivery Consultant AI - Enterprises, AWS Professional Services

This role involves designing, building, and deploying production-grade AI solutions on AWS for enterprise customers, spanning from discovery to handover. The consultant will work hands-on with predictive ML, generative AI, retrieval systems, and agentic workflows, translating ambiguous business needs into secure, scalable technical implementations. Collaboration with customer teams and partners is central, with a focus on knowledge transfer, responsible AI practices, and operational readiness.

Amazon London, United Kingdom

Hybrid Permanent

Staff Tech Lead Manager, Machine Learning, Vision Models

Lead a team building offline scene understanding models that evaluate and explain the behavior of autonomous driving systems. The role involves technical leadership in adapting on-vehicle and foundation models for high-fidelity simulation and counterfactual analysis, with outputs directly informing model development and customer deliverables. Focuses on scalable, production-grade ML systems in a compute-rich offline environment.

Wayve London, United Kingdom

Senior Machine Learning Engineer, AI Performance

This role involves taking machine learning models from training to production deployment, focusing on optimising for real-world constraints like latency and memory. The engineer will collaborate closely with performance and inference teams to deliver efficient, deployable models for autonomous driving systems, using techniques such as quantisation and distillation. The position emphasizes hands-on iteration in PyTorch and cross-functional delivery in a high-ownership environment.

Wayve London, United Kingdom

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

Design and deploy AI and HPC GPU infrastructure in large-scale datacentres, focusing on power, cooling, and MEP integration. Act as a technical advisor to cloud partners, lead proofs of concept, and influence product development through customer feedback. Emphasis on scalable, efficient datacentre solutions for next-generation computing.

NVIDIA Bristol, United Kingdom

Senior Research Engineer - Data

This role focuses on building and enhancing large-scale data pipelines for AI model training, working with vast video and audio datasets to improve data quality, curation, and annotation. The position bridges applied research and data engineering, collaborating closely with model teams to extract meaningful features and drive performance gains. It emphasizes clean, maintainable code and influence over long-term data infrastructure strategy.

Synthesia London, United Kingdom

Remote Permanent