AI & ML Assistant Manager β€” Hybrid, London

AI & ML Assistant Manager β€” Hybrid, London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Ingham Jones

At a Glance

  • Tasks: Lead AI model development and validation while engaging with clients on exciting projects.
  • Company: Join Ingham Jones, a top-tier professional services firm in London.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on knowledge sharing and career advancement.
  • Why this job: Be at the forefront of AI innovation and make a real impact in the industry.
  • Qualifications: Minimum two years' experience in data science or machine learning required.

The predicted salary is between 80000 - 100000 Β£ per year.

Ingham Jones, a leading tier-1 professional services firm, is expanding its AI and Data Science consulting practice in London. The Assistant Manager role is aimed at data scientists and ML engineers with at least two years' post-graduate experience, responsible for model development, tool-building, and technical validation across client-facing and internal projects.

You will work on a range of AI use cases, deliver models, validate them, engage with clients, and contribute to knowledge sharing.

AI & ML Assistant Manager β€” Hybrid, London employer: Ingham Jones

Ingham Jones is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong focus on employee growth, you will benefit from structured career progression and the chance to work on diverse AI use cases, all while enjoying the flexibility of hybrid working. Join a fast-growing team that values collaboration and client engagement, making your contributions impactful and rewarding.

Ingham Jones

Contact Details:

Ingham Jones Recruitment Team

We think you need these skills to ace AI & ML Assistant Manager β€” Hybrid, London

Communication Skills
Python
Attention to Detail
Problem-Solving Skills
Data Engineering
SQL
Automation