Lead AI Engineer – GenAI and ML

JR United Kingdom; Wakefield; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading company in AI solutions is seeking a Lead AI Engineer to spearhead the development of Generative AI and machine learning tools. This hybrid role in Wakefield requires expertise in both modern AI technologies and classical ML practices, along with strong software engineering skills. You will drive implementation across the business, mentor junior engineers, and ensure secure, reliable solutions in collaboration with diverse teams.

Qualifications

• Experience with Generative AI technologies and classical ML techniques.
• Proficient in TypeScript and Python.
• Knowledge of CI/CD pipelines and software delivery best practices.

Responsibilities

• Lead the development of GenAI solutions and classical machine learning models.
• Design and build internal platforms for AI adoption.
• Collaborate with engineering teams to deliver AI solutions.

Skills

Generative AI technologies

MLOps practices

Communication

Tools

TypeScript

Python

Terraform

Ansible

Vertex AI

Azure ML

Job description

Social network you want to login/join with:

Lead AI Engineer – GenAI and ML, wakefield

col-narrow-left

Client:

middle

Location:

wakefield, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

col-wide

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.