Artificial Intelligence Jobs

Wayve · London

Lead functional safety activities for an end-to-end autonomous driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence to support certification.

Wayve · London

Owns the data strategy behind an end-to-end autonomous driving AI platform, spanning the full learning cycle from foundation model training to production programmes. Leads a multidisciplinary data organisation, deciding what data matters and building the flywheel from real-world signals through discovery, curation and enrichment. Focuses on finding rare, safety-critical scenarios in very large datasets using embeddings, semantic search and model-driven selection.

Faculty · London

Build and scale AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

PhysicsX · Singapore

Builds physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Works closely with research scientists, simulation engineers and customers, owning research work-streams and translating results into reusable libraries, tooling and products.

PhysicsX · Singapore

Builds and operates a SLURM-on-Kubernetes HPC platform with 304 B200 GPUs, split evenly between platform engineering and hands-on support for researchers. Work covers cluster reliability, containerised job environments, high-performance storage and networking, and debugging distributed training and data generation workloads.

Faculty · London

Builds and scales client-facing web applications that translate complex machine learning insights into intuitive interfaces for government and public sector clients. Works across the product lifecycle with data scientists and designers, architecting reusable design systems and maintaining CI/CD and cloud deployment workflows while mentoring other engineers.

Luminance · Cambridge

Join a small, dynamic R&D team prototyping and implementing new approaches to AI problems, evaluating output quality, efficiency and feasibility against other techniques in a data-driven way. Work spans data science on large datasets, modelling and evaluation, using Python ML frameworks such as PyTorch, TensorFlow and Scikit-Learn. Open to graduates as well as senior candidates with published work in NLP, Computer Vision or Deep Learning.

Luminance · Cambridge

Joins a new Quality team to build and maintain a state-of-the-art QA process, writing end-to-end tests with Cucumber, Cypress and Playwright and investigating defects to prevent recurrence. Acts as the link between Development and Product, formalising specifications into testable units and driving the shift toward automation as standard, including release quality metrics.

WeDoTech · London · £800 – £1,000 pd

Senior hands-on staff engineer driving adoption of Agentic AI and production ML across multiple engineering teams. Defines reusable architectures and patterns, builds production RAG and LangGraph/LangChain systems, and improves AI evaluation, observability, MLOps and model-risk controls in a regulated environment.

Harnham - Data and Analytics Recruitment · London · £75,000 – £85,000 pa

Owns the infrastructure, deployment and operational excellence of production machine learning systems within a growing AI and data organisation serving the public sector. Builds ML orchestration pipelines with Dagster, Airflow or Prefect, runs Kubernetes and Terraform/Bicep infrastructure, and maintains CI/CD and observability for models and LLM-powered solutions, working closely with data scientists and client-facing teams.

Morgan McKinley · London · £60,000 – £70,000 pa

Owns the Oracle NetSuite financial platform for a global education group, leading end-to-end regional implementations, data migration, UAT and go-live for newly acquired schools. Builds SuiteFlow workflows, SuiteScript customisations and third-party integrations, while handling BAU administration, multi-currency compliance and reporting. Reports to the Group Head of Financial Systems, bridging finance, school leadership and technical architecture.

VIQU IT Recruitment · London · £50,000 – £70,000 pa

Hands-on engineering role deploying and configuring a platform on Palantir Foundry for large industrial enterprise customers. You will build data pipelines, transformations and integrations, connect customer data sources, and work directly with client stakeholders to get deployments live, supported by senior FDEs and repeatable patterns.

Darktrace · Cambridge

Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.

Harnham - Data and Analytics Recruitment · London · £80,000 – £85,000 pa

Design, build and deploy scalable AI and machine learning solutions from concept to production, including Generative AI applications using LLMs and orchestration frameworks. Write production-grade Python, apply MLOps practices such as CI/CD, containerisation and monitoring, and build data pipelines for training, fine-tuning and inference. Work hybrid in London alongside data scientists, engineers and business stakeholders on large-scale datasets.

Key Recruitment · Southampton · £70,000 – £92,258 pa

Lead the creation of an enterprise-wide AI Accelerator programme, combining technical leadership with programme-level influence. You will prototype with geo foundation models, agentic systems and LLM orchestration, write production-grade code, mentor participants and engage senior stakeholders to embed responsible AI across a geospatial data business.