Lead AI Engineer – GenAI and ML

JR United Kingdom; Cambridge; Hybrid; GBP 68,000 - 80,000; Full time

Job summary

A leading company is seeking a Lead AI Engineer specializing in Generative AI and classical machine learning to define and deliver innovative AI solutions. This hybrid role involves leading development of AI tools, integrating scalable systems, and mentoring junior engineers within collaborative teams, with a focus on impact and excellence in software engineering.

Qualifications

• Hands-on experience with Generative AI technologies like LLMs.
• Proficiency in TypeScript and Python.
• Experience deploying ML models in production environments.

Responsibilities

• Lead development of GenAI solutions including LLMs.
• Design and support internal AI platforms.
• Drive excellence in MLOps practices.

Skills

Generative AI technologies

MLOps practices

TypeScript

Python

Agile teamwork

Tools

Terraform

Ansible

Packer

Vertex AI

Azure ML

Job description

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Lead AI Engineer – GenAI and ML, cambridge

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Job Views:

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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.