Machine Learning Jobs

OpenAI · London

Builds the production infrastructure behind Codex agents: sandboxed execution environments, orchestration for multi-step tool-using workflows, state and memory systems for long-running tasks, and app-server/SDK boundaries. Works at the intersection of distributed systems, developer tooling and AI, optimising tokens, latency, reliability and cost across a fleet of frontier agents.

OpenAI · London

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, capacity planning and operational automation. The role focuses on turning complex operational processes into reusable, scalable platform capabilities, working closely with research, infrastructure and product teams.

Wayve · London

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.

Wayve · London

Set the technical direction for a petabyte-scale object storage platform underpinning autonomous driving AI, leading a multi-quarter programme from architecture through adoption. Build production services and controllers in Python or Go with Kubernetes and Terraform, optimising read performance, caching and cost while partnering with ML, data, security and privacy teams.

Faculty · London

Lead the technical direction and delivery of complex AI projects for enterprise clients in financial and professional services, acting as primary technical authority from discovery to production. Balance hands-on full-stack work in Python and TypeScript/React with mentoring a squad of engineers and shaping reusable architecture. Distinct for its client-facing, highly regulated context and emphasis on safe, responsible AI deployment.

Faculty · London

Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing technical advisory and mentoring junior engineers. Work spans scalable infrastructure, container orchestration and embedding best practices for deploying machine learning at scale.

Adria Solutions · Huddersfield · £55,000 – £70,000 pa

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Covers the full lifecycle from dataset preparation and model evaluation to testing, performance tuning and diagnosing image quality or integration issues. Hybrid or remote, with a path to lead an AI team.

Synoptix · Gloucestershire · £51,000 – £60,500 pa

A varied engineering role spanning research, product and service development, with a focus on AI and computer vision (object detection and tracking). You lead software design, development, testing and deployment within multidisciplinary teams, and act as a subject matter expert advising clients on architecture. Python and C++ on Linux, with DevOps, MLOps and SDLC practices.

Adria Solutions · Huddersfield · £55,000 – £65,000 pa

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Covers dataset preparation, model evaluation, automated testing and performance tuning for accuracy, inference speed and memory use, with a path to lead an AI team.

NVIDIA · Switzerland

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

NVIDIA · United Kingdom

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++, Python and machine learning framework internals expertise.

Anthropic · London · £255,000 – £325,000 pa

Builds and operates security for large-scale AI clusters across multiple clouds and bare-metal data centers, covering IAM, network segmentation, encryption, default-deny ingress/egress and mTLS with service identity. Ships controls as secure defaults via infrastructure as code and GitOps, and designs secure CI/CD and Kubernetes security practices. Partners with infrastructure, networking and data center teams at design time, and mentors engineers.

ElevenLabs · London

Embedded with strategic customers, you own end-to-end delivery of complex integrations, from technical architecture and product features to full-scale builds. The role pairs hands-on Python and API work with daily collaboration with customer engineers and executives, and involves regular travel for customer onsites.

Jam Management Consultancy ltd · Reading · £35,000 – £38,000 pa

Graduate role working alongside experienced engineers to investigate and resolve technical issues across enterprise software platforms, analyse system performance and support troubleshooting. Involves exposure to cloud, AI/ML, SaaS and languages like Python, C# and JavaScript, with structured mentoring toward becoming a Software Engineer.

PhysicsX · New York, United States · US$150,000 – US$250,000 pa

Build and deploy customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. The role spans rapid prototyping, backend development with Python/FastAPI microservices, and cloud deployment using Kubernetes, Terraform and AWS/Azure, with frequent on-site travel to customer sites.