AI Engineering Jobs in United Kingdom
There are 1,029 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 13
Who is hiring
- 1000+ employees 135
- 501-1000 employees 74
- 51-200 employees 33
- 11-50 employees 31
- 201-500 employees 11
- 1-10 employees 1
Lead AI Engineer (191491)
Lead AI Engineer designs and delivers machine learning solutions for clients, embedding AI into live operations to drive measurable impact while mentoring teams and translating complex concepts for stakeholders.
Salesforce AI Engineer - London
Build and ship AI features on the Salesforce platform using Agentforce, Einstein, and Data Cloud, integrating LLMs with enterprise data and deploying autonomous agents in production.
Gen AI Engineer - London
Build and deploy enterprise-grade GenAI applications using RAG pipelines, document parsing, vector databases, and LLM orchestration in Python.
AI Engineer/Developer
Build and deploy AI-driven solutions for a financial firm, focusing on GenAI, LLMs, and scalable ML models using Python, C#, and Azure.
AI LLM Engineer - Autonomous Network - London
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
AI Engineer
Build LLM-powered compliance tools on Google Cloud to detect and interpret regulatory changes for banking clients, using Python and AI pipelines.
Lead AI Engineer - London
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
AI Engineer - London
Design and deploy AI-powered applications, including LLM-based agents and workflows, to transform enterprise processes while ensuring scalability, security, and governance.
Senior AI Platform Engineer – LLM Inference Backend
Build and optimize backend services for LLM inference, focusing on routing, batching, scheduling, and GPU utilization to improve performance and reliability of AI systems.
Senior Cloud Architect, Delivery (GenAI)
Design and deploy production-grade GenAI and ML solutions on AWS, optimizing cost, security, and performance while embedding reusable patterns into DoiT’s Cloud Intelligence platform.
Senior Cloud Architect, Delivery (GenAI) - Portugal
Design and deploy production-grade GenAI and ML solutions on AWS for enterprise customers, focusing on cost efficiency, reliability, and security while creating reusable patterns and driving product adoption.
Senior Backend Engineer — AI-Scale LLM Systems (Equity)
Architect and scale backend systems for high-throughput LLM interactions, vector search, and multi-agent orchestration, integrating model providers and data stores into performant pipelines.
Senior Python Backend Engineer for AI/LLM Systems (Remote)
Build and scale Python backend services, APIs, and LLM agent frameworks while integrating external systems and improving observability for AI-driven applications.
LLM Research Engineer – Foundational AI & Data Pipelines
Designs and builds systems for training and evaluating large language models while collaborating with researchers to advance foundational AI.
Senior Data & AI Engineer - Pipelines & Cloud
Design and maintain data systems and pipelines to support AI operations using Python, SQL, and cloud platforms like AWS.
Data & AI Engineer
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch, with cloud platforms (Azure/AWS/GCP) and MLOps practices.