Artificial Intelligence Jobs

• London
• Mid-level
• Permanent

Backend engineering role building and operating the distributed systems behind ChatGPT at significant scale. You'll write production code, design shared services and APIs, lead infrastructure migrations, and own production behaviour through monitoring, staged rollouts and incident response. Combines backend development with reliability and on-call work, closely partnered with product teams.

ChatGPT

• 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

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

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments, and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists and domain experts, with opportunities to lead projects and mentor others depending on experience.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services to solve scaling limits, and partner with research, product and operations teams to align infrastructure with biotech R&D cycles.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• Reading
• Senior

Technical account manager role focused on a small set of strategic software companies, driving integration of NVIDIA's AI platform, open models, SDKs and NIMs into partner products. Involves hands-on work with agentic AI systems and GPU-accelerated computing, plus developer advocacy, ecosystem mapping and representing NVIDIA at industry events.

NVIDIA · NIMs · SDKs

• 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

• New York, United States
• Hybrid
• Lead

Lead the ML approach to manufacturing and MRO data, taking models from design through deployment in customer production environments across cloud, on-prem and edge. Work with sparse, drifting sensor and process data, fusing physics simulation with shop-floor measurement, and set uncertainty quantification and validation standards. Mentor engineers and data scientists while travelling to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +3

• London

Builds the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the model or combination that best fits its constraints. Owns inference engines such as vLLM and SGLang and serving platforms such as KServe, including packaging, deployment, health checks, upgrades and rollback, plus GPU autoscaling, batching, caching and quantisation tuning. Sets technical direction for air-gapped serving and cost, quality and latency-aware routing.

vLLM · SGLang · KServe +5

• London
• Hybrid
• Permanent

Builds full-stack geospatial services in Python and TypeScript, turning global road-network and navigation data into products for an autonomous driving platform. Owns data pipelines with PySpark and Databricks, route-planning applications, and map data preparation for training and simulation, deploying services on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +7

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. You own people, roadmap and delivery, plus partner and OEM relationships, while staying close to embedded Linux systems code in C++ or Python.

NVIDIA Jetson · NVIDIA DRIVE · QNX +4

• London
• Hybrid
• Lead

Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so Client Success teams can deliver value. Defines propositions and frameworks across products and tools, connects stakeholder needs to business priorities, and champions adoption of AI and emerging technologies.

• Southampton
• Hybrid · 2–3 days in office
• £65,000 – £75,000 pa
• Senior

Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products, while developing AI capabilities such as document intelligence, semantic search, RAG and intelligent agents. Use tools like Claude Code and Codex, shape architecture and engineering practices, and work directly with users and domain specialists in a hybrid team near Eastleigh.

Azure · PostgreSQL · Claude Code +4

• London
• Hybrid
• £75,000 – £80,000 pa
• Senior

Design and own end-to-end architecture for digital commerce and customer experience platforms, translating business requirements into scalable cloud-native solutions. Lead technical design, governance and risk mitigation while mentoring distributed teams and presenting to senior stakeholders. Involves Salesforce Commerce Cloud and other commerce technologies, with exploration of AI use cases.

Salesforce Commerce Cloud · commercetools · SAP Commerce Cloud +2

• London
• On-site
• Entry level
• Permanent

Builds and maintains scalable training and inference pipelines for biological foundation models such as Transformers and SSMs, optimising latency and throughput. Works with researchers and product engineers to turn notebooks into production systems, owning ML infrastructure like data loading, distributed compute and experiment tracking while prototyping post-training methods.