AI Engineering Jobs in United Kingdom
There are 1,030 open AI Engineering jobs in United Kingdom on freehire right now. 183 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| GBP | year | £68,875 | £92,700 | £114,375 | 74 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 79%
- python 45%
- llm 40%
- machine-learning 38%
- cloud 38%
- agentic-ai 36%
- aws 28%
- generative-ai 28%
How the work is done
- Hybrid 218 · 21%
- Remote 93 · 9%
- Onsite 37 · 4%
Visa sponsorship offered in 57% of the 120 postings that state a position on it.
Seniority
- Senior 256
- Lead 81
- Principal 42
- C-level 32
- Staff 29
- Intern 14
Who is hiring
- 1000+ employees 136
- 501-1000 employees 74
- 51-200 employees 33
- 11-50 employees 31
- 201-500 employees 11
- 1-10 employees 1
AI Software Engineer
Design and build AI-driven software solutions for Barclays, focusing on scalable, secure systems while collaborating with cross-functional teams to align with business goals.
Hybrid Data & AI Engineer — ML Pipelines & Cloud
Designs, builds, and deploys AI/ML pipelines and cloud-based models using Python, SQL, and frameworks like TensorFlow or PyTorch on Azure, AWS, or GCP.
AI Software Engineer
Build and ship AI features into existing C# .NET ERP products, integrating LLMs via prompt design, RAG, and evaluation pipelines while ensuring production-grade reliability and accuracy.
AI Software Engineer
Build and deploy AI-driven financial services, including autonomous agents and LLM workflows, on a cloud-native platform for securities lending.
Data & AI Engineer
Design and build scalable data pipelines and AI architectures for a regulated financial advisory firm, enabling analytics and decision-making with modern cloud tools.
Data and AI Engineer
Builds scalable data pipelines, AI models, and GenAI solutions using Python, SQL, and cloud platforms to power enterprise-scale analytics and automation.
Hybrid Data & AI Engineer — Build Scalable Pipelines & AI
Design and maintain scalable data pipelines and AI solutions using Python, SQL, and cloud technologies to support business needs in a hybrid role.
Data & AI Engineer — Enterprise Pipelines & Gen AI (Hybrid)
Designs, builds, and maintains data pipelines and integrates Gen AI solutions using Python and SQL in a hybrid role.
Data & AI Engineer: Python, Databricks & AI-Driven FinTech
Builds scalable data pipelines and AI-driven tools using Python, Databricks, and AWS to support finance operations and automation.
Data & AI Engineer
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch across Azure, AWS, or GCP.
Data/AI Engineer, Engineering AI & Data, AI & Data Solutions
Design and build data pipelines, AI models, and generative-AI solutions to turn raw data into business insights and automated decisions for clients.
Senior Data/AI Engineer - Manager, Eng AI & Data, AI & Data Solutions
Lead AI and data engineering teams to build scalable pipelines, ML models, and generative AI solutions that drive business decisions and digital transformation for clients.
Director, Generative AI – Chemical Development
Lead AstraZeneca’s Generative AI strategy for chemical development, driving AI-driven automation in lab workflows, documentation, and decision-making to accelerate drug discovery and CMC delivery.
AI Product Engineer
Build and improve AI-powered tools and workflows for Universal Music, turning data and AI models into practical products that help artists connect with global audiences using Python, React, Django, and cloud services.
AI Engineer
Build and deploy scalable AI/ML solutions using LLMs and orchestration frameworks in Python, applying MLOps best practices in a large, data-driven organization.
Applied AI Architect : United Kingdom
Embed with enterprises to design and deploy AI-native workflows using Claude Code, co-build agentic applications, and modernize SDLC practices for production-scale AI adoption.