Lead AI Engineer – GenAI and ML

JR United Kingdom; Luton; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading company is seeking a Lead AI Engineer to drive the next phase of AI implementation. This role focuses on developing Generative AI solutions and integrating classical ML techniques within various teams. Ideal candidates will have strong software engineering skills, deep knowledge in AI, and experience in deploying ML models in production environments. If you possess expertise in both AI technologies and software development, we encourage you to apply.

Qualifications

• Experience with LLMs, prompt engineering, and vector-based search.
• Foundation in regression, classification, and clustering techniques.
• Ability to communicate with technical and non-technical stakeholders.

Responsibilities

• Lead the development of GenAI solutions including LLMs and embeddings.
• Design, build, and support platforms for AI adoption.
• Write high-quality, maintainable code in TypeScript and Python.

Skills

Generative AI technologies

MLOps practices

TypeScript

Python

AI safety

cloud AI services

Tools

Terraform

Ansible

Packer

Vertex AI

Azure ML

Job description

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Lead AI Engineer – GenAI and ML, luton, bedfordshire

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Client:

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Location:

luton, bedfordshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

Lead AI Engineer – GenAI and ML

Up to £80k + Bonus

Hybrid - Basingsotoke (3 days in office per week)

We are looking for a Lead AI Engineer to define and deliver the next phase of AI for our client. This role combines deep expertise in GenAI with strong hands-on experience in classical machine learning. You will play a key role in building internal AI tools, integrating scalable ML systems, and shaping how AI is used across the business.

Responsibilities

• Lead the development of GenAI solutions including LLMs, embeddings, and retrieval-based systems
• Design, build, and support internal platforms that help engineering teams adopt AI effectively
• Guide the adoption of classical machine learning models that address practical business problems
• Write high-quality, maintainable code in TypeScript and Python
• Drive excellence in MLOps practices including model deployment, monitoring, and governance
• Collaborate with engineers, product owners, and security teams to ensure solutionsare secure and reliable
• Coach and mentor junior engineers and contribute to the overall strategy of the AI platform

What You Will Need

• Hands-on experience with Generative AI technologies such as LLMs, prompt engineering, and vector-based search
• Strong foundation in traditional ML techniques such as regression, classification, and clustering
• Proficiency in both TypeScript and Python for building robust applications and tools
• Knowledge of MLOps practices, CI/CD pipelines, and software delivery best practices
• Experience deploying ML models into production environments using cloud platforms such as Azure or GCP
• Ability to work in agile teams and communicate effectively with technical and non-technical stakeholders
• Experience with tools such as Terraform, Ansible, Packer, or ML platforms like Vertex AI and Azure ML
• Familiarity with cloud AI services such as Azure Vision or Google Vision AI
• Understanding of modern application architecture, including API-first design and service-oriented patterns
• Background in AI safety, model evaluation, or secure model deployment

This role is for someone who can combine strong software engineering skills with deep AI knowledge to build products that drive impact. If that sounds like you, we would love to hear from you.