Latest AI in Healthcare Jobs

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

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Lead Forward Deployed Engineer

Lead the technical direction of complex AI and machine learning projects, from strategy through to client deployment, while mentoring engineering teams and shaping reusable solutions across the organisation. Design scalable, reliable systems using Python and cloud platforms, and act as a technical advisor to both internal teams and external clients in high-stakes, regulated environments. Drive innovation by evaluating and integrating new technologies while ensuring architectural soundness and delivery excellence.

Faculty London, United Kingdom

On-site Permanent

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems across the full stack, from API layers to accelerators. You'll design service level objectives, build observability systems, lead incident response, and collaborate across teams to strengthen critical infrastructure. The position demands a systems thinker with strong distributed systems experience and a proactive approach to improving robustness in high-scale AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Permanent

Machine Learning Engineer (Safety)

As a Machine Learning Engineer, you will build and deploy production-grade ML systems, collaborate with cross-functional teams to solve critical client challenges, and lead technical scoping and architectural decisions. You will work on high-stakes, high-impact missions in national security and AI safety, ensuring AI is secure, trustworthy, and safe for all.

Faculty London, United Kingdom

Hybrid Permanent

Engineering Manager, Connectivity - London

Lead a distributed engineering team building critical connectivity infrastructure for AI agents, focusing on secure, scalable access to external systems via the MCP standard. Responsibilities include managing token management, OAuth flows, and proxy systems that power tool use across Anthropic's products. The role emphasizes operational rigor, cross-team alignment, and technical leadership in a high-trust, enterprise-focused environment.

Anthropic London, United Kingdom

Hybrid Permanent

Manager, Applied AI Architects

This role involves leading a team of senior technical leaders to design and deploy AI solutions for OpenAI's largest and most complex customers. Responsibilities include setting technical strategies, coaching the team, and building trusted relationships with C-suite stakeholders.

OpenAI London, United Kingdom

Permanent

Tech Engagement Lead, AI Labs - EMEA

This role involves leading technical partnerships with frontier AI labs across EMEA to integrate NVIDIA's full stack—from GPUs to software libraries—into advanced AI workloads including training, inference, and emerging domains like agents and robotics. The individual will diagnose performance bottlenecks, drive platform optimisations, and translate research trends into product roadmap influence. It’s a strategic position bridging deep technical engagement with product strategy in the fast-evolving generative AI landscape.

NVIDIA France

Tech Engagement Lead, AI Labs - EMEA

This role involves building deep technical partnerships with leading AI research labs and model builders to integrate NVIDIA's GPU hardware, systems, and software stack into their AI development workflows. The candidate will identify performance bottlenecks, drive platform optimisations across training, post-training, and inference, and translate technical insights into product roadmap influence. They will also help shape collaboration strategies, support technical assessments of emerging AI labs, and enable public showcases of joint innovation at events like GTC.

NVIDIA

Delivery Engineer

A Delivery Engineer acts as a technical liaison between customers and internal teams, translating complex engineering and physics challenges into actionable product opportunities. The role involves guiding customer onboarding, managing delivery teams, and identifying new value-creation opportunities by aligning AI-driven simulation solutions with real-world industry needs. Success requires blending technical understanding of AI and engineering systems with strategic account growth and customer success principles.

PhysicsX United Kingdom

On-site Permanent

Response Squad Agent

Act as the first point of contact for technical support queries, diagnosing and resolving straightforward issues while triaging more complex cases to the appropriate teams. Maintain clear, timely communication with customers and ensure accurate logging of all incidents and resolutions. Collaborate with internal teams to improve support processes and ensure smooth escalations.

Luminance London, United Kingdom

Hybrid Permanent

Product Specialist Associate

This role involves supporting prospective and existing customers in effectively using Luminance’s Legal-Grade™ AI technology during trials and live projects. The Product Specialist Associate acts as a trusted advisor, delivering tailored workflows, guiding use case implementation, and collaborating with sales and technical teams to ensure successful adoption. The position offers exposure to diverse legal and enterprise environments across global industries.

Luminance London, United Kingdom

Hybrid Permanent

Senior ML Compiler Engineer

Design and develop a high-performance ML compiler stack for AI accelerators, focusing on optimizing large language models. Collaborate closely with hardware, runtime, and ML teams in a full-stack co-design environment. Help define the IR, optimization passes, and execution model for a novel computing architecture.

Fractile London, United Kingdom

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

Member of Technical Staff, Pre-Training Data

This role involves developing and optimizing the data pipeline for Cohere's advanced language models. Responsibilities include conducting data ablations, experimenting with data mixtures, and collaborating with cross-functional teams to enhance model performance and efficiency.

Cohere London, United Kingdom

Remote Permanent