Artificial Intelligence Jobs

PhysicsX · Singapore

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.

PhysicsX · Singapore

Builds physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Works closely with research scientists, simulation engineers and customers, owning research work-streams and translating results into reusable libraries, tooling and products.

CrowdStrike · Reading · £140,000 – £215,000 pa

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.

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

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.

Databricks · London

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 · London

Hybrid technical and commercial role acting as post-sale technical lead across all Databricks products for strategic accounts. You own the technical account strategy and execution plan, driving use cases from win to production, coordinating internal teams, and reporting on usage and customer health. Requires Python or Spark programming and customer-facing architecture or consulting experience.

Entrust · United Kingdom - Field (Onfido)

Owns test planning, coordination and execution within a cross-functional identity verification product team, covering web, mobile, backend and ML-powered journeys. Builds maintainable automated test frameworks, blends automation with exploratory testing, and mentors colleagues while improving CI/CD pipelines and release feedback loops.

Entrust · France - Field (Onfido)

Owns test planning, coordination and execution within a cross-functional identity verification product team, covering web, mobile, backend and ML-powered journeys. Builds maintainable automated frameworks and suites, mentors colleagues, and leads quality initiatives across engineering teams. Combines automation with exploratory testing and works with TypeScript, Ruby, Python, Playwright, Cypress and CI/CD pipelines.

Palo Alto Networks · London

Designs and plans Idira privileged-account security solutions for customers, coordinating with implementation, sales and product teams to ensure architectures meet customer needs and security standards. Acts as a client-facing technical expert, advising on best practices, regulatory risk and large-scale IT systems while managing the full customer journey and escalations.

Wayve · London

Lead large-scale data enrichment and curation for the Core Model Safety team, mining hard and rare events and building workflows across pre/mid-training, reward modelling and self-supervised labelling. Design and train out-of-distribution detection mechanisms for robust driverless operation, working at the intersection of model engineering, infrastructure, compute and data.

MFK Recruitment · Brentford · £70,000 – £95,000 pa

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

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.

Palo Alto Networks · London

Senior individual-contributor role bridging strategic customers, Product Management, Engineering and Sales across the Cortex platform. Sets technical strategy, influences roadmap decisions, and mentors field teams while developing deep expertise in XSIAM, XDR, XSOAR, CNAPP and AI Security.

Spencer Rose · Bristol · £450 – £480 pd

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Involves production deployment, MLOps pipelines, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

Deerfoot Recruitment Solutions · Didcot · £700 – £900 pd

Architect and build multi-agent AI systems end-to-end, combining frameworks like LangGraph or Haystack with bespoke orchestration, state management and tool-calling logic. Embed LLMs and vision-language models into live reasoning, search and task-execution workflows, deploying across cloud and on-premises environments with monitoring, evaluation and guardrail tooling. Set technical standards for agentic AI within the team, working with a biotech and pharma customer.