Machine Learning Jobs

PhysicsX · London

Owns PX's editorial calendar and writes blog posts, web pages, thought leadership, scripts and event materials, translating deep technical work into clear narratives. Leads LinkedIn and Instagram, supports executive and technical speaking engagements, and partners with Talent on employer brand storytelling. Works cross-functionally with engineers, designers and external agencies in a fast-moving, high-ownership comms team.

PhysicsX · New York, United States · US$240,000 – US$300,000 pa

Leads regional deployment engineering for a physics AI platform, owning end-to-end delivery into customer-owned infrastructure and acting as primary technical contact for CIOs and CTOs. Combines executive engagement with hands-on work on Kubernetes, cloud and infrastructure-as-code deployments, while hiring and scaling a team of deployment engineers. Requires navigating regulated, high-security and on-prem/HPC environments.

Faculty · Remote (UK)

Sets technical direction for complex, business-critical AI projects in the defence sector, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Balances speed, innovation and reliability while mentoring data scientists and acting as a trusted technical advisor to demanding clients. Requires UK Security Clearance and 2-4 days per week on client sites.

Capital One · Leicester

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data exploration. Consults on statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring.

Capital One · Derby

Develops and maintains the statistical and machine learning models behind key underwriting and lending decisions, using advanced feature generation and large-scale data manipulation. Works cross-functionally on statistical test design and Model Risk Management, with Open Banking or Credit Bureau data experience welcomed.

Faculty · London

A one-week unpaid work placement at Faculty's London offices for service veterans in their last 12 months of regular service. Participants gain structured exposure to different roles, processes and people across the Defence Business Unit, seeing how a leading AI company applies machine learning to surveillance, reconnaissance, autonomous systems and combat service support.

Luminance · London

Design intuitive, user-centred experiences for an AI-powered enterprise platform used by legal, compliance, and operations teams. Lead end-to-end design from research to implementation, creating wireframes, prototypes, and workflows that simplify complex AI-driven processes. Collaborate with product, engineering, and legal experts to ensure usability, consistency, and alignment with the design system.

Luminance · London

This role involves defining and delivering AI-powered product solutions that start with legal teams and scale across enterprise functions like compliance, procurement, and finance. The Product Manager will own the product roadmap, translate complex user needs into actionable specifications, and collaborate closely with AI engineers, designers, and domain experts. They will also lead stakeholder alignment, drive cross-functional execution, and ensure ethical, user-centric AI innovation across the platform.

OpenAI · London

Builds and optimizes the compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers move across software, hardware, and networking layers, profiling training workloads and improving NCCL, RDMA, and GPU efficiency. Hiring is general across Compute Infrastructure, with teams matched to candidate strengths.

Innova Solutions · London · £50 pa

Applies statistics and time-series analysis to mobile app telemetry, turning raw data into decision-ready insights and dashboards. Builds multi-page Streamlit dashboards and integrates API/SQL sources including Snowflake and OpenSearch. Owns features end-to-end within a layered architecture, working cross-functionally with QE, delivery and product teams.

NVIDIA · United Kingdom

As a Senior Quantum Algorithm Researcher, you will lead technical collaborations with supercomputing centers and industry partners to develop hybrid quantum-classical applications. Your role involves driving research in AI for quantum algorithms, contributing to strategic projects, and publishing impactful research while representing NVIDIA at conferences.

Amazon · London

You will act as the technical partner for NHS trusts, national health bodies and Health Tech ISVs, designing cloud architectures for clinical, operational and data challenges at national scale. The role spans discovery workshops, architecture reviews and proof-of-concept builds across AI/ML, analytics, FHIR interoperability and IoT, working alongside Account Managers and senior NHS stakeholders.

NVIDIA · Reading

Engage a small set of strategic software companies to integrate NVIDIA's AI and computing platforms into their products, acting as a trusted technical advisor on agentic AI, open models and GPU-accelerated computing. Provide sample code, SDKs and demo pipelines to accelerate onboarding, while mapping the developer ecosystem and feeding field insights back to product teams. Also represents NVIDIA at industry and developer events.

ElevenLabs · United Kingdom

Builds the systems behind a managed AI audio production service, owning one of three areas: a human data labelling and evaluation platform, the backend engine running production workflows, or a Rust-based professional editor platform. Work is mostly hands-on building of internal tools and core infrastructure rather than consumer features, with scope to lead projects.

Databricks · London

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning.