Python Machine Learning Engineer – Core ML/AI Tooling Team

Stanford Black; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Stanford Black is recruiting for a high-impact ML/AI role in London. You will research and build data-driven AI systems and productionise ML tools across the firm on a global scale.

The role requires a strong background in Python and computer science fundamentals, with experience deploying machine learning models for large-scale use.

Qualifications

• Masters/MSc/PhD in a STEM field such as ML/AI/CS
• Excellent object-oriented Python engineering skills
• Experience building and productionising ML models

Responsibilities

• Research and build bleeding-edge AI/ML systems with data-driven approaches
• Develop and productionise AI/ML tools and systems across the firm globally
• Build ML and NLP models to solve complex business problems
• Code primarily in Python
• Work on systems serving thousands of users worldwide

Skills

Python

Education

Masters/M.Sc. or PhD in ML/AI/CS

Tools

OOP

Job description

Salary: £60,000 - 100,000 per year

Requirements:

• A postgraduate degree (Masters/M.Sc. or PhD) in machine learning, AI, computer science, or a similar STEM field
• Excellent object-oriented Python engineering skills
• Experience building and/or productionising machine learning models
• Experience working with machine learning researchers, data scientists, or similar is a plus
• Strong grounding in computer science fundamentals is a plus
• Experience with ultra-large datasets is a plus

Responsibilities:

• Research and build bleeding-edge, data-driven AI and machine learning systems
• Develop and productionise AI/ML tools and systems across the firm on a global scale
• Build machine learning and NLP models to solve complex business problems
• Code primarily in Python
• Work on systems designed to serve thousands of users globally

Technologies:

• AI
• Machine Learning
• Python
• OOP

More:

We are a global FinTech powerhouse investing heavily in a multi-year AI and machine learning initiative. We are building a brand-new team to launch AI/ML tools and systems across the firm at global scale. This is an ambitious first-of-its-kind project in the industry, backed by significant funding and supported by a team of highly talented people with strong academic backgrounds. We offer the opportunity to work on cutting-edge Open Source tooling and help shape systems that will have a major impact across our business.

last updated 36 week of 2026