Latest machine learning engineer Jobs

Senior Machine Learning Infrastructure Engineer, Research

This role involves designing and operating distributed training infrastructure for large physics models using NVIDIA DGX B200 systems, with a focus on optimizing training pipelines, data I/O performance, and model serving. The engineer will work closely with research scientists and ML engineers to enable efficient, scalable AI training and deployment in high-performance computing environments, while also building observability and reproducibility into the research workflow.

PhysicsX United Kingdom

Principal Machine Learning Infrastructure Engineer

This role focuses on designing and operating scalable machine learning infrastructure for training and serving large physics-based models. You'll work closely with research scientists and ML engineers to optimize distributed training pipelines, improve data I/O performance, and build reliable model serving systems. The position emphasizes systems-level problem-solving, infrastructure automation, and enabling fast, reproducible experimentation on high-performance GPU clusters.

PhysicsX London, United Kingdom

Senior Research Engineer - Interactive Avatars

This role involves developing advanced AI models for interactive avatars, focusing on diffusion-based video generation conditioned on audio, motion, and user interaction. The engineer will work on real-time, long-form video synthesis, improving lip-sync and motion realism, and building evaluation systems to ensure high visual quality. The position bridges cutting-edge research and product deployment within a fast-moving AI video platform.

Synthesia London, United Kingdom

Remote Permanent

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Staff Software Engineer, Node Infra

This role focuses on designing and operating large-scale infrastructure systems that manage the full lifecycle of AI accelerator nodes across multiple cloud providers and on-prem datacenters. The engineer will lead technical strategy for node provisioning, health monitoring, and automated repair, ensuring high availability and efficiency for Anthropic’s AI training and inference workloads. The position involves deep collaboration with research, product, and cloud teams to scale infrastructure reliably while driving operational excellence and mentoring other engineers.

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

On-site Permanent

Research Infrasructure Engineer

Research Infrastructure EngineerLocation: Hampshire, South Coast / Hybrid Working AvailableThe OpportunityWe're supporting a leading research-led organisation in the search for a Research Infrastructure Engineer to join a specialist team delivering advanced computing platforms that support research, data science and AI...

Tate London City Southampton, United Kingdom £41,000 – £49,000 pa

Lead AI Engineer

This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, applying best practices in MLOps and DevOps, and collaborate closely with product teams and senior leadership.

Harnham - Data and Analytics Recruitment London, United Kingdom £85,000 – £95,000 pa

Hybrid Permanent

Staff Software Engineer, Inference

This role involves building and maintaining large-scale, compute-agnostic inference systems that power Claude for millions of users and support cutting-edge AI research. The engineer will work across the full stack, optimizing intelligent request routing, fleet orchestration, and performance across diverse AI accelerators in multi-cloud environments. Projects include autoscaling infrastructure, integrating new hardware, and developing production pipelines for model deployment.

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

Hybrid Permanent

Senior AI Engineer - M&G plc.

This role involves designing and deploying enterprise AI solutions, including generative AI, RAG architectures, and agentic systems, within a regulated financial services environment. The engineer will build scalable, secure applications using LLMs and modern MLOps practices, while promoting responsible AI and developer productivity. Collaboration with data, security, and business teams is central to delivering measurable business impact.

eFinancialCareers Edinburgh, Alba / Scotland, United Kingdom

Contract

Senior AI Engineer - M&G plc.

Lead the design and deployment of enterprise AI solutions, including generative AI, RAG architectures, and intelligent automation, within a regulated financial environment. Develop scalable, secure applications using LLMs, agentic frameworks, and MLOps practices while ensuring compliance with governance and responsible AI standards. Collaborate across technology and business teams to deliver measurable outcomes through innovation and engineering excellence.

eFinancialCareers Stirling, United Kingdom

Contract

Senior AI Engineer

The role involves developing emotionally responsive virtual humans using AI to enhance soft-skills training. You'll work across the full AI stack—integrating large language models with speech and vision systems—to create realistic, interactive simulations. The position emphasizes research-to-product development, rigorous evaluation, and cross-disciplinary collaboration in a socially impactful startup environment.

Bodyswaps London, United Kingdom

Hybrid Permanent

Full Stack Software Engineer

Design and build full-stack AI-powered applications, translating machine learning outputs into production-ready systems. Collaborate with data scientists and product managers to deliver scalable, user-centric solutions for global clients in regulated industries. Focus on robust architecture, cloud deployment, and client-facing technical leadership.

Faculty AI London, United Kingdom

Hybrid Permanent

Sr. Security Engineer, Amazon Stores Security AppSec

As a Senior Security Engineer, you will collaborate with software development teams to ensure the security of Amazon's wide-ranging technology services, from e-commerce to machine learning pipelines. Responsibilities include threat modeling, secure code review, developing security automation tools, and providing security training and guidance to internal teams.

Amazon London, United Kingdom

On-site Permanent

Platform Engineer

This role involves designing and maintaining the MLOps and deployment infrastructure that enables data scientists to transition machine learning models from exploration to production. The engineer will work across AWS, Azure, and GCP to build scalable, containerised systems using Kubernetes and infrastructure-as-code tools. The focus is on creating reliable, secure, and high-performance platforms that support client-facing AI solutions.

Faculty AI London, United Kingdom

Hybrid Permanent