Artificial Intelligence Jobs

CrowdStrike · USA, NY · US$140,000 – US$215,000 pa

Lead a growing team of engineers building self-service infrastructure-as-code primitives, high-availability core services and multi-cloud platforms at massive scale. The role blends people management with hands-on architecture, cloud cost optimisation and SRE practices across AWS and GCP, with hybrid working expected near office locations.

Aveni · United Kingdom

Hands-on technical leadership of the core platform services underpinning an AI product for regulated financial services, spanning client-data ingestion, CRM integrations and APIs, multi-tenancy, identity and data lifecycle. Leads roughly six to seven engineers while remaining close to production code, primarily Node.js on AWS with event-driven, distributed systems.

ElevenLabs · United Kingdom

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, web-scale deduplication, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.

Darktrace · Cambridge

Partners with developers and product teams to embed quality from the start, designing and maintaining automated test frameworks across API, UI, integration and regression layers. Builds scalable suites into CI/CD pipelines, drives shift-left testing, and contributes to test strategy, code reviews and architecture discussions.

Palo Alto Networks · London

Lead strategic advisor for enterprise customers modernising their Security Operations Centres through XSIAM deployment, from initial strategy to full operationalisation. Drives multi-national SOC transformation programmes, designing log ingestion strategies, detection and correlation rules, and automation to improve MTTD/MTTR. Also mentors professional services teams and partners with Product and R&D on roadmap priorities.

The University of Manchester · Manchester · £21,805 pa

A 3.5-year PhD developing an AI-enabled digital twin framework to support circular retrofit decision-making in ageing public buildings such as schools and healthcare facilities. The research integrates building condition data, asset records, material inventories and lifecycle information to evaluate component condition, estimate remaining service potential and prioritise reuse over replacement, validated through public-building case studies.

Scale AI · United Kingdom

Legal experts evaluate and stress-test generative AI outputs across compliance, litigation, case law and contract analysis, designing complex real-world scenarios and giving targeted feedback to improve model accuracy and regulatory alignment. Fellows also collaborate with Scale's research team on technical reports and benchmarks, working flexibly within an interdisciplinary network of academics and domain specialists.

Scale AI · United Kingdom

Medical experts design complex clinical scenarios, evaluate generative AI model decision-making for safety and accuracy, and shape reasoning frameworks through structured feedback. Fellows collaborate with AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks, within an interdisciplinary network. Work is project-based and flexible, with hours set by the fellow.

VIQU IT Recruitment · Belfast · £80,000 – £100,000 pa

Independent assurance voice covering the cloud estate, corporate environment and AI capability, setting security baselines for DevOps, IT and Product Security Engineering and verifying them through continuous monitoring and independent testing. Founding role in a new assurance function at a UK sovereign AI scale-up, spanning ISO 27001, AI control testing and customer-facing work.

Helsing · Barcelona, Spain

PhD research internship tackling open problems in spatial perception and localisation within the Spatial Intelligence Team. You survey and prototype state-of-the-art methods for scene matching, SLAM/VIO and 3D reconstruction, benchmarking ideas against real-world data and compute constraints, and report findings to a Europe-distributed team.

eFinancialCareers · London

Lead end-to-end delivery of high-performance Java applications for real-time FX risk management across global markets, architecting low-latency, scalable systems. Works closely with quants, traders and business stakeholders, and uses Citi's internal GenAI ecosystem (GitHub Copilot, Devin.AI, Stylus Workspaces) daily. An individual contributor role with no direct reports, including L3 production support and weekly releases.

eFinancialCareers · London

Manager role in Macquarie's global Internal Audit function, delivering technology-led and business-integrated audits across Commodities and Global Markets, Macquarie Capital and Macquarie Asset Management. Owns audit planning, execution quality, issue development and reporting, using data analytics and AI to assess risks and controls, while coordinating teams, reviewing junior colleagues' work and engaging senior stakeholders.

OpenAI · London

Lead and grow a London-based engineering team building real-time safety and oversight systems for AI agents, including the Auto-review permission-boundary model. The role blends hands-on technical work—shaping architecture, reviewing designs, debugging, and coding—with hiring, coaching, and setting the operating cadence. It is highly cross-functional, partnering with alignment researchers, product, security, and infrastructure teams.

OpenAI · London

Owns delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from scoping and planning through launch and adoption. Builds integrated delivery plans, resolves blockers, drives launch readiness and enablement, and tracks adoption and consumption against agreed value measures. Works closely with account and technical teams, FDEs, customers and delivery partners, and turns customer experience into repeatable playbooks.

Synthesia · London

Hands-on principal IC role owning the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability and GPU/cloud resource efficiency. Distinct for its systems-generalist framing rather than pure ML engineering.