Artificial Intelligence Jobs

• Stoke-on-Trent
• 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, with projects such as a Streamlit car price app and a customer service chatbot. Includes Microsoft AI-900 and AWS Cloud Practitioner certification, 1-to-1 tutor and recruitment support, and a job guarantee. Note this is a paid training course, not a direct employer role.

Jupyter Notebooks · VS Code · Streamlit +7

• London
• Lead
• Permanent

Serves as a trusted AI advisor to C-suite executives at EMEA's largest enterprise brands, owning go-to-market and business development strategies to drive adoption of Amazon Connect's agentic AI applications. Involves orchestrating cross-functional teams across sales, product, and marketing, and using customer insight to influence product roadmaps.

AWS · Amazon Connect · AWS Applied AI Solutions +1

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

A 15-step online, self-paced traineeship covering AI engineering fundamentals, Python, data handling, prompt engineering, RAG, machine learning and AWS cloud certification, culminating in a virtual oral exam. It is a paid training course with fees, offering tutor and recruitment support plus a job guarantee on completion.

Jupyter Notebooks · VS Code · Streamlit +7

• London
• Hybrid · 2 days in office
• Senior

Works within the Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, advancing methodology for defending against unknown cyber-attacks. Provides expert technical direction, mentors engineers across languages like Python, JavaScript, Rust and C++, and engages executive leadership on technical strategy. Requires Docker, cloud, CI/CD and Git proficiency with a strong interest in cyber-security and malware forensics.

Docker · Git · Cloud Computing

• London
• Hybrid
• Senior
• Permanent

Owns the education-specific generative AI go-to-market for AWS, building co-sell strategies with model providers and leading Innovation Acceleration engagements for EdTech firms, universities and education ministries. Engages senior leaders such as founders, presidents, CIOs and government officials to drive net-new GenAI workloads on Amazon Bedrock, working with Solutions Architects, the GenAI Innovation Center and partner teams. Requires 25-35% travel and global customer coverage.

AWS · Amazon Bedrock · OpenAI +1

• London
• Hybrid · 2 days in office
• £76,800 – £115,200 pa
• Senior

Designs, builds and maintains AWS and on-prem infrastructure used by ML engineers, data scientists and product teams, with a strong focus on Kubernetes, Helm, Terraform/OpenTofu and GitOps delivery. Also handles platform service requests, incident diagnosis and reliability improvements, working across engineering teams in a surgical AI centre of excellence.

Kubernetes · Helm · AWS +4

• London
• Mid-level

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform for emerging enterprise and digital native accounts. You own architecture and design decisions, implement end-to-end systems spanning data engineering, ML/AI and application development, and embed with client teams. Billable delivery work with roughly 20% travel.

Databricks · Apache Spark · AWS +4

• London
• Senior

Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, to scope and deliver end-to-end solutions, contributing reusable accelerators and product feedback. Requires hands-on coding in Python, Scala or TypeScript, deep Apache Spark and distributed computing expertise, and multi-cloud knowledge, with around 20% travel to customer sites.

Databricks · Apache Spark · AWS +7

• London
• Hybrid
• Permanent

Builds reusable Python libraries and platform tooling for multimodal data loading, distributed training, inference, checkpointing and observability, supporting ML teams running models across thousands of GPUs. Partners closely with researchers to turn complex workflows into stable, scalable software, leading projects from discovery to delivery. A software and platform engineering role rather than ML modelling.

PyTorch · TensorFlow · Azure +3

• United Kingdom
• Remote
• Mid-level

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. High visibility with senior leadership in a strategic deep learning and HPC area.

NVIDIA GPU · CSP

• London
• Hybrid
• Senior

Develops production-grade ML models and pipelines for physics simulation, working with research scientists and simulation engineers. Involves scaling training and inference across multi-GPU/multi-node systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.

AWS · Azure · GCP +7

• San Francisco, United States
• Hybrid
• US$150,000 – US$190,000 pa

Builds and deploys machine learning pipelines for industrial physics applications, working directly with customers on-site to embed AI models into practical tools. Involves manipulating 3D point-cloud and mesh data, cloud and HPC infrastructure, and translating R&D outputs into reusable libraries and products.

TensorFlow · MLflow · Spark +6

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

Join a newly formed Scheduling team to own and extend systems that orchestrate compute allocation for complex ML workloads on Kubernetes. You'll design scheduling policies like gang scheduling and topology-aware placement, build custom Kubernetes controllers and CRDs, and partner with ML researchers to maximize GPU/TPU utilization.

Kubernetes · Kueue · Volcano +5

• United States - Field
• Senior · manages people

Defines and governs a four-plane reference architecture (Identity, Authority, Execution, Assurance) for an agentic trust layer, owning agent identity, delegated authorization, evidence ledgers and policy engines. Acts as design authority and architecture gate across product lines, chairs review boards and represents the company in standards bodies.

AWS · Azure · Google Cloud +7

• London
• Hybrid
• £150,000 – £190,000 pa
• Senior

Pre-sales architect role building technical relationships with global and regional system integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.

AWS · GCP