Machine Learning Engineer (Customers)

Understanding Recruitment; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Job summary

A venture-backed AI company is looking for a Senior Machine Learning Engineer to build and deliver production ML solutions for enterprise customers. The role involves translating customer requirements into technical work, deploying end-to-end ML workflows, and improving tooling for efficient delivery. The ideal candidate brings strong production ML and software engineering experience, along with proficiency in Python. This position offers a unique opportunity to work closely with engineering and product teams, fostering AI capabilities.

Qualifications

• Strong production ML and software engineering experience is required.
• Proficiency in Python is essential.
• Candidates must be comfortable owning projects end-to-end.

Responsibilities

• Build and deploy ML solutions into production.
• Translate customer requirements into deliverable technical work.
• Improve tooling to scale repeatable customer delivery.
• Partner with engineering/product teams to ship AI capabilities.

Skills

Production machine learning experience

Proficiency in Python

Strong communication skills

Project ownership

Job description

Overview

Machine Learning Engineer (Customer Solutions)

We’re representing aventure-backed AI companyhiring aSenior Machine Learning Engineerto deliverproduction ML solutions for enterprise customers. This role focuses on building and deploying end-to-end ML workflows that automate real customer processes.

Key Responsibilities

• Build and deploy ML solutions into production
• Translate customer requirements into deliverable technical work
• Improve tooling to scale repeatable customer delivery
• Partner with engineering/product teams to ship AI capabilities

Requirements

• Strong production ML + software engineering experience
• Proficient inPython
• Comfortable owning projects end-to-end
• Strong communication and stakeholder management skills

Nice to Have

• Computer vision / image-video ML experience
• Enterprise deployments and MLOps exposure