Artificial Intelligence Jobs

• United Kingdom
• Remote
• Contract

Fellows join an interdisciplinary expert network and are matched to short-term AI/ML projects, ranging from evaluating models and designing experiments to building RL environments and reviewing PyTorch code. They may also co-author technical reports and research papers with Scale's research team. Engagement is fully remote, self-scheduled, with no minimum commitment.

PyTorch · TensorFlow · AWS +2

• Switzerland
• Remote
• Senior

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.

JAX · PyTorch · TensorFlow +4

• United Kingdom
• Remote
• Senior

You will own a small portfolio of strategic software companies, acting as their trusted technical advisor to integrate NVIDIA's AI platform, open models, SDKs and NIMs into their products. The role blends hands-on agentic AI and GPU-computing depth with developer advocacy, ecosystem mapping and commercial storytelling to engineering and C-suite audiences.

NVIDIA · NIMs · SDKs

• London
• Hybrid
• Entry level
• Internship

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and tooling. The intern documents findings, builds automation for malware analysis, creates host- and network-based detection signatures, and produces threat intelligence reporting for varied audiences.

CrowdStrike · Disassemblers · Decompilers +1

• Germany
• Remote
• Entry level
• Internship

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and developing automation tools for threat tracking. Involves creating host- and network-based signatures for large-scale hunting and producing finished threat intelligence reporting for customers.

CrowdStrike · Disassemblers · Decompilers +1

• London
• Remote
• Temporary

Four-month, full-time research fellowship in the Economics & Policy workstream, mentored by Anthropic researchers. Fellows design empirical studies on AI's economic effects, labour markets, and cyber/bio offense-defense balance, using external infrastructure like open-source models and public APIs, with the goal of producing a public output such as a paper submission.

Open-Source Models · Public APIs

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, connecting software to robots, instruments and LIMS. You'll prototype and productionise LLM-powered tools, build evals, contribute to the Model Hardware Standard, and scale learnings through cookbooks and docs. The role involves significant travel and acting as an EMEA ambassador for Claude in scientific settings.

Claude · Model Hardware Standard · Liquid Handlers +2

• London
• Hybrid
• Senior
• Permanent

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity harm, working across UIs, services and pipelines. Partners closely with Child Safety, Product Policy and Platform Integrity teams, owning systems end-to-end in an ambiguous, fast-moving environment. Involves exposure to sensitive and egregious content.

Spark · Kafka · Flink +3

• London
• Hybrid
• Permanent

Customer-facing technical role helping organisations evaluate, build, deploy and adopt AI technology. Work spans architecture, integrations, data, security and evaluation, plus demos, prototypes and production solutions, alongside Sales, Product, Research and Engineering. This is a general expression of interest talent pool rather than a specific vacancy.

OpenAI

• London
• Hybrid
• Senior
• Permanent

Owns the end-to-end release cycle for autonomous-driving AI models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

GitHub · Buildkite · CLI

• London
• Hybrid
• Senior
• Permanent

Lead the technical architecture and roadmap for onboard localisation, designing and productionising state-estimation systems that fuse GNSS, IMU and wheel odometry for accurate vehicle pose estimates. The role spans algorithm design, prototyping, validation and deployment on real-time vehicle platforms, with hands-on technical leadership and mentorship across robotics, calibration, controls and sensor teams.

GTSAM · Ceres · g2o +7

• Seattle, United States
• Hybrid
• US$200,000 pa
• Lead
• Permanent

Builds and operates core enterprise platform systems, ensuring security, reliability and scalability for large customers, and contributes to a new API suite exposing Avatar technology to external creative tools. Owns multi-month, cross-team projects, translating business and regulatory requirements into scalable designs, and works with Python, React and AWS alongside product, security, legal and infrastructure partners.

Python · React · AWS +2

• Birmingham
• Hybrid
• £80,000 – £90,000 pa
• Senior
• Contract

Architect end-to-end enterprise AI solutions spanning data, knowledge and process layers, covering internal processes, reporting, frontline operations and customer experience. Design and validate proof-of-concept solutions, define target architectures and reusable patterns, and lead MLOps and model deployment pipelines for LLMs, agentic and generative AI. Work hybrid in the West Midlands across IT, data, security and business teams to move PoCs toward production.

LangChain · Semantic Kernel · Llama +6

• London
• Hybrid · 3 days in office
• Mid-level

Joins the Compute Infrastructure team to keep a planet-scale GPU accelerator fleet healthy and efficient. Builds observability systems, telemetry pipelines and automated recovery mechanisms, hunting compute waste and optimising accelerator utilisation and workload goodput alongside ML platform and research teams.

GCP · Kubernetes · Nvidia GPU +1

• Cambridge
• £80,000 – £100,000 pa
• Senior

Provisioning and running multi-rack GPU clusters for training and inference at a not-for-profit AI organisation, covering hardware, fabric and orchestration. The role spans high-performance networking (InfiniBand, RDMA, RoCE), advanced Linux across Ubuntu and RHEL, virtualisation, and infrastructure-as-code with Git and Terraform/OpenTofu, working closely with researchers and engineers.

Terraform · OpenTofu · Ubuntu +7