Lead AI Engineer GenAI and ML

ZipRecruiter; Basingstoke; On-site; GBP 70,000 - 80,000; Full time

Job summary

A leading technology firm seeks a Lead AI Engineer with expertise in Generative AI and classical machine learning. This hybrid role focuses on developing AI solutions and guiding teams in adopting machine learning practices. The ideal candidate will have strong coding skills in Python and TypeScript, and experience in MLOps within cloud environments like Azure and GCP.

Qualifications

• Extensive experience in Generative AI technologies and classical ML techniques.
• Proficient in TypeScript and Python for robust application development.
• Ability to work in agile environments and communicate effectively.

Responsibilities

• Lead development of GenAI solutions and guide classical ML model adoption.
• Design and support platforms for AI adoption across engineering teams.
• Collaborate with cross-functional teams to ensure secure AI solutions.

Skills

Generative AI

Machine Learning

Programming in TypeScript

Programming in Python

MLOps

Agile Methodology

Tools

Terraform

Ansible

Packer

Azure ML

Vertex AI

Job description

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

Bonuses

• 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.