Lead AI Engineer

eFinancialCareers
London, United Kingdom
Last month
£60,000 – £75,000 pa

Salary

£60,000 – £75,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
30 May 2026 (Last month)

Benefits

Annual bonus Full car allowance Hybrid working model Strong investment in AI engineering capability and tooling Clear progression opportunities
£60,000 to 75,000 GBP

Bonus

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Lead AI Engineer

Location: London (Hybrid)

Salary: Up to £75,000 + Bonus + Car Allowance

We're hiring a Lead AI Engineer to join a growing technology team delivering enterprise-scale AI solutions across modern cloud platforms.

This is a hands-on engineering role with leadership responsibility, focused on building and scaling AI-powered products and services using Generative AI, Agentic AI, and modern AI engineering practices.

You'll work closely with engineering, platform, data, and product teams to design, develop, and deploy production-grade AI capabilities within a fast-paced delivery environment.

This is primarily an internal-facing engineering role, so strong technical capability and collaboration skills are more important than consulting or client-facing experience.

The role

You will:
  • Design and build scalable AI and GenAI solutions within Azure cloud environments
  • Develop intelligent workflows and agentic AI capabilities using modern orchestration frameworks
  • Build and maintain AI services, APIs, and backend integrations
  • Work closely with Data Engineers, Platform Engineers, Architects, and Product teams to deliver AI solutions into production
  • Lead technical delivery across AI engineering initiatives
  • Mentor and support junior engineers within the team
  • Contribute to engineering standards, reusable patterns, and AI best practices
  • Help shape scalable MLOps and AI deployment approaches
  • Drive high-quality engineering practices across testing, deployment, monitoring, and optimisation
Tech environment

Key technologies include:
  • Python
  • Azure
  • Databricks
  • Generative AI / LLM frameworks
  • Agentic AI tooling and orchestration frameworks
  • LangChain / LangGraph
  • PyTorch and ML libraries
  • REST APIs
  • Docker and containerisation
  • CI/CD pipelines
  • Git-based development workflows
What we're looking for
  • 4-6 years' experience within Software Engineering, AI Engineering, or Machine Learning Engineering roles
  • Strong hands-on Python engineering capability
  • Experience building AI or machine learning solutions within production environments
  • Strong understanding of Generative AI and modern AI engineering practices
  • Exposure to Agentic AI frameworks or autonomous AI workflows
  • Experience working with Azure and Databricks
  • Good understanding of backend engineering and API development
  • Experience collaborating across cross-functional engineering and product teams
  • Ability to mentor or support junior engineers
  • Strong communication and problem-solving skills
Package
  • Salary up to £75,000
  • Annual bonus
  • Full car allowance
  • Hybrid working model
  • Strong investment in AI engineering capability and tooling
  • Opportunity to work on cutting-edge GenAI and Agentic AI initiatives
  • Clear progression opportunities within a growing AI engineering function
This is an excellent opportunity for an engineer looking to build real-world AI systems at scale while working within a collaborative and technically strong engineering environment.

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