Artificial Intelligence Jobs

• Sunderland
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, NumPy/Pandas, scikit-learn, Hugging Face, prompt engineering, RAG and vector databases, plus AWS Certified Cloud Practitioner and Microsoft AI-900 certification. It includes tutor and recruitment support, real-world projects and a job guarantee, and is aimed at career changers with no prior experience.

Jupyter Notebooks · VS Code · Streamlit +6

• London
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, NumPy/Pandas, scikit-learn, Hugging Face, prompt engineering, RAG and vector databases, plus AWS Cloud Practitioner and Microsoft AI-900 certification. Includes tutor and recruitment support with a job guarantee, and is aimed at career changers with no prior experience.

Jupyter Notebooks · VS Code · Streamlit +4

• New York, United States
• Hybrid
• US$150,000 – US$190,000 pa
• Mid-level

Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.

TensorFlow · MLflow · Spark +6

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and data infrastructure for training and running ML models. Day to day centres on coaching and hiring engineers, owning roadmap and prioritisation, and guiding Kubernetes scheduling, capacity planning and storage decisions across heterogeneous GPU fleets.

Kubernetes · Kueue · Nvidia Hopper +2

• Singapore
• Hybrid
• Lead

Join a new Singapore research team building physical foundation models for industrial engineering, translating physics challenges into mathematical formulations and training deep learning models on large datasets. You will own research workstreams, run experiments, and communicate results to customers and at publication venues, with a focus on operator learning, geometric deep learning, or generative models for geometry and spatiotemporal data.

NumPy · SciPy · Pandas +2

• London
• Hybrid
• £165,000 – £190,000 pa
• Senior

Pre-sales architect role acting as a trusted technical advisor to large enterprises, helping them integrate and deploy Claude into their technology stacks. Involves technical discovery, designing scalable LLM architectures, building evaluation frameworks, and delivering content from engineering deep dives to executive conversations, working closely with Sales, Product and Engineering.

Claude · Claude API · Claude for Work

• London
• Senior

Expert-level technical leader owning the most complex enterprise data and AI engagements for banking and financial services customers. Drives consumption strategy, executive relationships and multi-workload architecture across lakehouse, streaming and ML platforms, while mentoring junior architects and leading competitive displacements.

Databricks · Snowflake · AWS +7

• London
• Senior

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.

Databricks · Snowflake · AWS +7

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines, and mentors engineers within a squad-based team.

AWS · Kubernetes · TensorFlow +4

• Lisbon, Portugal
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.

TensorFlow · PyTorch · Triton +2

• United Kingdom
• Remote
• Permanent

Builds core platform foundations covering workspaces, user management, API keys, login, analytics and admin tooling, or generic resource and permissioning services used by product teams. Works on systems on the path of every request for millions of users, scoping changes in a large existing codebase, rolling out safely and debugging from customer reports and logs. Backend leaning with Python, shipping customer-facing features end to end.

OAuth · SSO · SCIM +2

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Senior technical owner for a portfolio of education customers, acting as the technical counterpart to institutional leadership. Shapes AI strategy across ChatGPT Edu, the OpenAI API and Codex, guiding institutions from pre-sales discovery through deployment and adoption. Requires education-sector fluency and hands-on architecture skills.

ChatGPT Edu · OpenAI API · Codex

• London
• Hybrid
• Mid-level
• Permanent

Deploys, integrates and optimises AI-driven security technology across network, cloud, OT and email environments for post-sales customers. Handles deployment projects against SLOs, resolves support tickets and acts as a trusted advisor on security infrastructure design, liaising with sales, customer success and operations.

AWS · Microsoft · Cisco +2

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

AWS · Kubernetes · Slurm +2

• London
• Hybrid
• Mid-level
• Permanent

Owns and resolves high-priority incidents across hosted SaaS and bank-hosted Vault deployments, acting as a domain expert in Vault Core. Builds tooling, dashboards and automation to improve observability and support delivery, partnering with Engineering and Product on platform stability. Leads escalations end-to-end and mentors across client, product and engineering boundaries.

Grafana · Prometheus · EFK +7