Machine Learning Engineer

Radley James; Greater London; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Meaningful equity package

Office-based role in London

Opportunity to work with founders

Job summary

Radley James is seeking an experienced Machine Learning Engineer to build and deploy production-grade ML systems in London. You will develop AI-powered workflows, translate business processes into intelligent automation, and work closely with domain experts and founders.

The role requires strong Python software skills, commercial ML deployment experience, and hands-on work with LLMs to deliver measurable business impact in a fast-paced startup environment. Equity included.

Qualifications

• Commercial experience building and deploying ML models.
• Experience with modern AI technologies (LLMs/GenAI) is desirable.
• Must have core ML fundamentals, especially evaluation metrics.
• Strong cloud experience with AWS, GCP or Azure.

Responsibilities

• Build and deploy production-grade machine learning systems.
• Develop AI-powered workflows that solve real-world problems.
• Translate business processes into intelligent automation with domain experts.
• Improve model accuracy, scalability, and customer outcomes.
• Help shape the engineering culture as the team grows.
• Collaborate directly with founders in a fast-paced environment.

Skills

Python

ML fundamentals

LLMs/GenAI

Cloud platforms

Startup environment

Business impact

Tools

AWS

GCP

Azure

Job description

Machine Learning Engineer | AI Start-up | London | £90k–£150k + Equity

Location: London (On-site)

Salary: up to £150,000 + Equity

We're partnering with a well-funded AI start-up that's transforming a traditional industry through machine learning and automation. Backed by leading investors, the company is building an AI-native platform that automates complex workflows at scale and is looking for an experienced Machine Learning Engineer to help shape the next stage of its growth.

What you'll be doing:

• Build and deploy production-grade machine learning systems
• Develop AI-powered workflows that solve complex real-world problems
• Work closely with domain experts to translate business processes into intelligent automation
• Improve model accuracy, scalability, and customer outcomes
• Help shape the engineering culture as the team continues to grow
• Collaborate directly with experienced founders in a fast-paced, high-impact environment

What we're looking for:

• Strong software engineering skills, ideally with Python
• Commercial experience building and deploying machine learning models
• Experience with modern AI technologies, including LLMs or GenAI, is highly desirable
• Strong cloud experience (AWS, GCP or Azure)
• Comfortable working in a fast-moving start-up environment
• Passion for building products that deliver measurable business impact
• Must have core ML fundamentals — evaluation and metrics in particular — alongside hands-on experience applying LLMs to real problems

What's on offer:

• Up to £150,000 base salary
• Meaningful equity package
• Office-based role in London
• Opportunity to work directly with founders
• Build AI products used in production from day one
• Join a rapidly growing, venture-backed business with significant long-term potential