Artificial Intelligence Jobs

• Zürich, Switzerland
• Entry level
• Internship

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth analysis and optimisation for current and next-generation GPU architectures, working directly with application developers and collaborating with architecture, research, libraries, tools and system software teams.

CUDA · OpenACC · GPU

• 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
• 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

• Milton Keynes
• Remote
• £12,000 – £150,000 pa
• Director · manages people

Lead a globally distributed engineering organisation spanning cyber security, backend development, sensor infrastructure and AI-driven vulnerability research. Set technical strategy and standards while providing hands-on direction across architecture, system design and code review, and drive adoption of AI, LLMs and autonomous workflows to accelerate vulnerability discovery and exploit analysis.

LLM

• 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

• Reading
• Remote
• £140,000 – £215,000 pa
• Lead · manages people

Lead a growing team of engineers building self-service infrastructure-as-code primitives, high-availability platforms and cloud cost optimisation across a multi-cloud environment. The role combines people management, on-call ownership and hands-on architecture of large-scale distributed systems, with hybrid working near Reading.

Chef · Puppet · Salt +7

• Boston, United States
• Remote
• US$140,000 – US$215,000 pa
• Lead · manages people

Lead a team building self-service infrastructure-as-code primitives, high-availability services and cloud cost optimization across a multi-cloud environment. The role combines people management with hands-on architecture of large-scale distributed systems, using tools like Terraform, Pulumi, Chef and Python or Go, with a strong SRE and GitOps focus.

Chef · Puppet · Salt +7

• London
• Hybrid
• Mid-level
• Permanent

You'll design, build and operate shared infrastructure for model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Working with security, IT and engineering teams, you'll create governed access layers, reusable tooling and standards so teams can run AI agents in production without one-off infrastructure.

Kubernetes · MCP · RAG

• London
• Hybrid
• Permanent

Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.

AlphaFold · NeurIPS · ICML +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
• Senior

Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.

PyTorch · JAX · TensorFlow +5

• Hatfield
• Hybrid

Hands-on technical role taking ownership of the Amazon Connect platform, its customer and agent portals, and the API and data integrations linking it to wider operations. You'll lead the in-house transition from a third-party partner, managing AWS environments, contact flows, IAM, Kinesis data flows and AI-assisted development of the codebase.

Amazon Connect · AWS · Lambda +7

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a newly dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that let Wayve's onboard AI Driver run in real time. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

QNX · OpenTelemetry · Grafana +7