Artificial Intelligence Jobs

CrowdStrike · Romania

Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Works on cross-platform deliverables with shared components across Windows, Mac and Linux, leading projects from design through unit and component testing while mentoring a distributed team.

Faculty · London

Lead the design, build and deployment of production-grade machine learning systems for clients across pharma, healthcare and other sectors. Work spans architectural decisions, scalable infrastructure, MLOps standards and mentoring junior engineers, with a strong client-facing advisory element. Requires deep Python, TensorFlow or PyTorch, and cloud plus Docker/Kubernetes experience.

Faculty · Remote (UK)

Owns end-to-end delivery of AI transformation programmes for UK Defence clients, from scoping and planning through implementation and user adoption. Acts as the link between customers and data scientists, translating mission challenges into AI solutions while managing senior stakeholders and growing commercial opportunities. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.

Harnham - Data and Analytics Recruitment · London · £80,000 pa

Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products at speed. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping systems in scalable APIs and contributing to shared data and entity platforms, with weekly demonstrable output.

NVIDIA · Italy, Remote

This role involves owning the fabric operations of NVIDIA's Cloud Partner (NCP) fleets, including NVLink/NVSwitch partition management, switch software and firmware lifecycle, and fabric validation. You will work closely with customers, partners, and cross-functional teams to ensure reliable and efficient network operations in large GPU estates.

Ocado · Sofia, Bulgaria

Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.

NVIDIA · United Kingdom

Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. Works with MLIR, C/C++ and Python, partnering with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.

eFinancialCareers · London

Design and build AI-powered tools, automations and integrations using Python, PowerShell and APIs, exploring Agentic AI and LLM use cases across internal business functions. Advise on embedding AI into enterprise architecture within a regulated investment management environment, working with engineering, product and business teams. Distinct for its focus on engineering productivity and architecture strategy rather than traditional ML modelling.

eFinancialCareers · London

Build AI tools, LLMs and intelligent automation while developing data infrastructure and analytical solutions in Python and SQL. Create dashboards and portfolio analytics to support investment decisions, working directly with the CIO, CFO and senior leadership in a privately owned investment family office. The role offers autonomy to take technology initiatives from concept through to delivery.

OpenAI · London

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, identity, security and governance while coordinating deployment, enablement and partner specialists.

Wayve · London

Train, debug and improve computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data and training to evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work with lidar, maps and 3D reconstruction to build auto-labelling data flywheels.

OpenAI · London

Senior technical owner for a named portfolio of enterprise customers, acting as the "CTO of your book of business" from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, security and evaluation while coordinating deployment, enablement and partner specialists.

Wayve · London

Develop next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Work spans diffusion and transformer architectures, latent compression, context pruning and inference-latency optimisation, with closed-loop agent interaction and sim-to-real evaluation. The role combines ML research, multi-modal modelling and production deployment, including mentoring and publishing.

Amtis Professional · Birmingham · £80,000 – £90,000 pa

Architect end-to-end enterprise AI solutions spanning data, knowledge and process layers, covering internal processes, reporting, frontline operations and customer experience. Design and validate proof-of-concept solutions, define target architectures and reusable patterns, and lead MLOps and model deployment pipelines for LLMs, agentic and generative AI. Work hybrid in the West Midlands across IT, data, security and business teams to move PoCs toward production.

Multiverse · London

Leads the Diagnose & Prescribe engineering team, owning delivery, technical direction and team health across AI-heavy services for learner diagnosis, eligibility and recommendations. Stays hands-on with distributed designs, RabbitMQ event schemas, API contracts and production code while carving logic out of a legacy monolith into dedicated services.