Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Noir · Abingdon · US$170,000 – US$195,000 pa

Take full ownership of the technology function at an early-stage AI venture, making key architectural decisions and building a founding engineering team. The platform combines proprietary data, real-time insights and advanced AI (LLMs, RAG, AI agents) for a specialised luxury and wealth intelligence market. The role blends hands-on engineering with founder-level strategy and equity.

Noir · London · £160,000 – £180,000 pa

Take full ownership of the technology function at an early-stage AI venture, making key architectural decisions and building a founding engineering team. The platform combines proprietary data, real-time insights and advanced AI, with work spanning LLMs, RAG pipelines, AI agents, data infrastructure and cloud architecture. It is a hands-on founder role rather than a traditional management position.

CBSbutler Holdings Limited trading as CBSbutler · London · £600 pd

Hands-on AI engineering role building production-grade Generative and Agentic AI for a major public sector programme. Day to day involves designing multi-step agent workflows with LangGraph, LLM applications in Python, end-to-end RAG pipelines, evaluation and guardrails, and deploying on Azure OpenAI, Azure AI Search and Azure AI Foundry within a product squad.

Avanti Recruitment · Saint Peters, Australia · £80,000 – £100,000 pa

Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with a hands-on CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while providing technical direction and remaining hands-on.

Sanderson · London · £550 – £700 pd

Builds, deploys and maintains machine learning models and end-to-end ML pipelines in a modern cloud environment, writing production-quality Python and SQL. Works with data scientists, analysts and engineers to take AI products from proof of concept to production, including NLP and large language model work, plus monitoring and documentation.

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 · United Kingdom

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

ElevenLabs · United Kingdom

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams like Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

ElevenLabs · London

Embedded with strategic customers, you design tailored technical architectures, build full-scale integrations and take end-to-end ownership of high-impact projects. Working daily with customer engineers and executives, you use Python and API integration skills to solve complex problems. Remote-first across the UK, with a London office option and regular customer travel.

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.

Aveni · United Kingdom

Senior technical co-lead of a product squad, owning architectural decisions, technical risk and engineering quality while remaining hands-on across Node.js or Python backends, event-driven AWS and React. Leads LLM feature development, drives AI coding tool adoption across the SDLC, and mentors engineers in an FCA-regulated fintech context.

Faculty · Remote (UK)

Deliver bespoke, production-grade machine learning systems for defence clients, covering the full ML lifecycle from architecture and scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, splitting time between client sites and remote work.

Faculty · Remote (UK)

Lead the technical delivery of computer vision projects for defence clients, architecting systems that bridge SOTA research and production deployment. Act as technical authority across bids, strategy and capability building, mentoring multidisciplinary teams while working 2-4 days per week on client sites.

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.