Artificial Intelligence Jobs

• London
• Hybrid
• Mid-level
• Permanent

Build and scale AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

AWS · Azure · GCP +6

• London
• Hybrid
• Senior
• Permanent

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.

TensorFlow · PyTorch · AWS +5

• United Kingdom
• Remote
• Lead · manages people
• Permanent

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.

AWS · Node.js · Python +3

• London
• Remote
• £75,000 – £105,000 pa
• Senior

Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.

Databricks · MLflow · LangChain +5

• Royston
• £58,000 – £60,000 pa
• Senior

Owns AI security initiatives within a Cyber Security and Compliance team, evaluating and integrating AI security tooling and defending against threats like prompt injection, data leakage and model poisoning. Also builds AI-driven detection, vulnerability management and incident response, running threat modelling and adversarial testing of AI systems.

Python · OWASP Top 10 for LLM Applications · MITRE ATLAS +1

• West Yorkshire
• On-site
• £170,000 – £180,000 pa
• Director · manages people
• Permanent

A senior leadership role owning the data and AI strategy, roadmap and technical direction across the organisation. Day to day it spans hands-on work with generative AI, LLMs, RAG and agentic architectures, MLOps and data platform governance, plus building and leading a high-performing Data & AI team and partnering with Product, Engineering, Architecture and Security to scale prototypes into production.

Azure

• United Kingdom
• Remote
• Senior
• Permanent

Hands-on full-stack role building and shipping production AI products that integrate LLMs, RAG and agentic workflows into financial services processes. You own features end-to-end across Node.js/TypeScript microservices, React frontends and AWS cloud infrastructure, with a focus on evaluation, observability, reliability and mentoring engineers.

Node.js · TypeScript · React +7

• London
• Remote
• £85,000 – £110,000 pa
• Lead

Designs and evolves AWS-based data architectures while supporting AI, machine learning and agentic AI initiatives. Drives data governance, observability, quality and lineage standards, acting as a trusted technical advisor to customers and shaping architecture, tooling and best practices across the platform.

AWS · Python · SQL +1

• London
• Hybrid · 2 days in office
• £110,000 – £120,000 pa
• Lead · manages people
• Temporary

Newly created role leading data science within a programme to embed AI at scale across legal workflows. You will identify automation opportunities with SMEs, prototype LLM-based solutions, guide them into production, monitor for drift, and build a small team, starting by recruiting a colleague.

Azure · Databricks · Snowflake

• Almondsbury
• £80,000 – £130,000 pa
• Mid-level
• Permanent

This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.

• London
• Hybrid
• £120,000 – £150,000 pa
• Director · manages people

Lead and build a data science function within a fintech, owning strategy across risk, affordability and lending decisioning. Design, build and deploy machine learning models using credit risk, Open Banking and customer data, working with Product, Engineering and Credit Risk teams. Requires hands-on Python, SQL and MLOps experience plus credit risk modelling in UK consumer lending.

Python · SQL

• Cambridge
• Hybrid · 2 days in office

Conducts independent and collaborative research into language models, neural networks, statistical methods and classical machine learning, prototyping new ideas and improving existing projects. Implements models into the wider software stack, including optimised solutions for edge devices with tight latency and memory constraints, working closely with software engineers and security analysts.

PyTorch · TensorFlow · scikit-learn +2

• Gateshead
• Hybrid · 1–2 days in office
• £85,000 – £95,000 pa
• Lead

Hands-on technical leadership role owning AI development for a product-led platform, taking LLM-powered features from concept to production. Involves architectural decisions on LLM integration, retrieval systems, model selection, plus AI evaluation, monitoring, security and cost management, while mentoring engineers. No direct reports initially.

AWS Bedrock · Azure AI Foundry · Google Vertex AI +2

• London
• Remote
• Lead · manages people

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.

XSIAM · Splunk · IBM QRadar

• London
• Hybrid
• Mid-level
• Permanent

Join the Platform Team to design and scale Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services and APIs. You will own CI/CD pipelines, monitoring, backup and disaster recovery, and work closely with Machine Learning and Data Science teams to support their computational needs.

Kubernetes · GitHub Actions · ArgoCD +3