Artificial Intelligence Jobs

NVIDIA · United Kingdom

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale inference workloads onto future hardware. Works at the intersection of compilers, systems and deep learning, using LLVM/MLIR and frameworks like PyTorch and TensorFlow, and collaborates with hardware architects on codesign.

CrowdStrike · Redmond, United States · US$140,000 – US$215,000 pa

Owns the product strategy for CrowdStrike Falcon Privileged Access, driving the shift from legacy vaulting to just-in-time, zero-standing-privilege access across endpoints, infrastructure and cloud. Works with designers and other product teams to build frictionless elevation experiences and secure secrets, non-human identities and brokered admin sessions using Falcon telemetry and AI. Hybrid role with at least two days a week in office.

CrowdStrike · Germany

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design and prototyping through production deployment and long-term maintenance. Works fully remotely with analysts as internal customers, choosing your own tech stack across Go, Python, SQL/NoSQL and cloud.

NVIDIA · Switzerland

Serve as a trusted technical advisor for the healthcare and life sciences developer ecosystem, helping partners integrate NVIDIA's AI and computing stack into their products and pipelines. Work spans agentic AI, clinical documentation, trial matching and cross-specialty orchestration, with responsibility for mapping the European ecosystem and feeding field insights back to product and engineering teams.

Databricks · London

Drives large-scale enterprise data warehouse migrations onto the Databricks Intelligence Platform across EMEA, partnering with GTM leadership, product specialists and account teams to shape adoption strategy. Acts as the tier-3 escalation point for complex or stalled migrations, builds assessment tooling and programmatic migration assets, and mentors the regional Solutions Architect community. Also feeds field insights back to Product and Engineering and authors whitepapers and conference talks.

Wayve · London

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

Wayve · London

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works with Python, Airflow/Dagster/Flyte, Ray or Spark and Kubernetes to run hundreds of parallel pipeline steps, batch inference and evaluations reliably at scale.

Opus Recruitment Solutions · United Kingdom · £80,000 – £90,000 pa

Designs enterprise-scale AI, data and automation solutions, architecting generative and agentic AI, RAG, vector database and multi-agent systems across OpenAI, Azure OpenAI, Anthropic and Google Gemini. Runs customer discovery and solution-design workshops, creates reference architectures and roadmaps, and supports technical pre-sales, governance and Responsible AI. Remote-first with client site visits.

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.

Harnham - Data and Analytics Recruitment · London · £100,000 – £140,000 pa

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable, production-deployed AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.

Databricks · London

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.

Amazon · London

Customer-facing cloud architect role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and technical workshops, manage the technical relationship with customers, and create reference architectures and best practices across AI/ML, serverless, containers, analytics and security.

Amazon · London

You will act as a trusted technical advisor to AWS customers in the Betting & Gaming industry, leading architecture reviews, white-boarding sessions, demos and workshops while managing the overall technical relationship. The role blends business acumen with hands-on guidance across AI, serverless, containers, analytics and DevOps, and involves feeding customer needs back into AWS product roadmaps.

Scale AI · London

Leads an infrastructure engineering team owning the full deployment lifecycle of AI products in live customer environments, from rollout to long-term operational health. Sets the infrastructure roadmap, SLAs/SLOs, and drives backend work on AI agents, evaluation tooling and automation across Kubernetes, Terraform and CI/CD. Bridges AI research and production while working cross-functionally with customers, GTM, product and security.

Multiverse · London

Owns end-to-end AI systems, building agents and the retrieval, memory and RBAC layers that make context permission-aware. Designs evaluation pipelines, tool integrations via MCPs and APIs, and influences architectural direction within a small, high-velocity cross-functional squad.