Artificial Intelligence Jobs

CrowdStrike · Reading

A customer-facing technical role supporting enterprise sales: running proof-of-value engagements, demos, RFIs/RFPs and objection handling for a cloud security platform. Also involves competitive research, internal enablement sessions, documentation, and mentoring junior sales engineers.

CrowdStrike · United Kingdom

As an Associate Consultant on the Platform Professional Services team, you'll act as a trusted advisor helping customers operationalise Falcon Next-Gen SIEM, demonstrating capabilities and shaping a technical roadmap. Day to day you deliver integration services, knowledge transfer on LogScale NGSIEM, and feed customer requirements back to product teams.

Anthropic · London · £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute, and task horizon scale, building benchmarks that make long-horizon progress measurable. Sits at the boundary between research and engineering, debugging failures that only appear at scale and translating validated findings into production training recipes alongside adjacent RL teams.

Anthropic · London · £325,000 – £485,000 pa

Set the technical direction for agent-driven cluster lifecycle management, provisioning, updating and decommissioning compute clusters across major clouds and own datacenters. Partner with security, research and cloud providers on high-bandwidth connectivity, scalability and fault tolerance, while mentoring engineers and evolving operational-excellence practices.

Be-IT Resourcing Ltd · United Kingdom · £90,000 – £100,000 pa

Technical leadership role shaping a SaaS product from first design conversation through to production code, moving between hands-on delivery and architectural decision-making. Works across a modern JavaScript/TypeScript stack with daily deployments, championing AI-assisted development where most code is agent generated, and leading a new Scottish engineering chapter.

Scale AI · United Kingdom

Fellows join an interdisciplinary expert network and are matched to short-term AI/ML projects, ranging from evaluating models and designing experiments to building RL environments and reviewing PyTorch code. They may also co-author technical reports and research papers with Scale's research team. Engagement is fully remote, self-scheduled, with no minimum commitment.

NVIDIA · Switzerland

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

NVIDIA · United Kingdom

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python, ML framework internals, and CPU/GPU architecture expertise.

Version 1 · Newcastle upon Tyne

Leads an established AI Centre of Excellence with budget authority, scaling agentic AI from pilots into core delivery and internal systems. Roughly 80% internal transformation, driving change through influence across functions, plus shaping people strategy and representing the company externally on conference stages.

eFinancialCareers · London · £60,000 – £70,000 pa

Owns the Oracle NetSuite financial platform for a global education group, leading end-to-end regional implementations, data migration, UAT and go-live for newly acquired schools. Builds SuiteFlow workflows, SuiteScript customisations and third-party integrations (banking, payment gateways, billing, tax tools), while handling BAU administration, saved searches and multi-currency, multi-subsidiary compliance. Reports to the Group Head of Financial Systems, bridging finance operations and technical architecture.

Profile 29 · Witney · £45,000 – £65,000 pa

Contribute to the design, development, verification and certification of embedded safety-critical systems providing runtime assurance for autonomous platforms. Define verification strategies, build test frameworks and certification evidence aligned with DO-178C, and perform requirements-based testing and traceability. Work in a specialised team on mathematically verifiable software foundations for aerospace and land autonomy.

CONVENTUS SOLUTIONS LIMITED · Cyprus

Bridges research and production engineering, deploying and testing computer vision and ML systems for object tracking, automated monitoring and intelligent triaging in live environments. Involves turning research models into production-grade software, running specialised data collections and labelling, and briefing senior leadership on capability. Requires expert Python, Docker, Kubernetes and active DV clearance.

Profile 29 · Witney · £45,000 – £65,000 pa

Design and develop safety-critical embedded software for autonomous systems, building runtime assurance and fail-safe architectures using SPARK Ada and high-integrity processes. Work spans verification, validation and certification activities for DAL-A/DAL-B software across aerospace and land autonomy platforms, scaling prototype capability to enterprise deployment.

PhysicsX · New York, United States · US$240,000 – US$300,000 pa

Leads regional deployment engineering for a physics AI platform, owning end-to-end success of customer-owned infrastructure deployments. Acts as primary technical contact for CIOs and CTOs, overseeing Kubernetes-based platform rollouts, security reviews, and version upgrades while hiring and growing a team of deployment engineers.

PhysicsX · New York, United States · US$200,000 – US$250,000 pa

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Leads scoping and architecture design, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter to embed AI models on-site.