Production ML Engineer - Python/AWS Databricks (Hybrid)

Tenth Revolution Group; City Of London; Hybrid; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Hybrid work in London

Direct impact

End-to-end ownership

Career progression

Job summary

Tenth Revolution Group is seeking an AI Engineer / Machine Learning Engineer in a hybrid London role, focusing on deploying production AI/ML solutions and building scalable Python backends on AWS and Databricks. You'll own projects end-to-end, collaborate with data, product and software engineers, and drive data pipelines, model deployment, monitoring and iteration.

This is a hands-on role with real impact in a small team.

Qualifications

• Strong commercial experience in either Machine Learning / Data Science or Backend Engineering.
• Demonstrable overlap between software engineering and machine learning.
• Excellent Python development skills.
• Experience deploying solutions into production rather than purely building models or conducting research.
• Exposure to cloud platforms, ideally AWS.
• Docker and containerisation experience
• Knowledge of Databricks, MLOps or modern AI tooling would be beneficial
• Strong engineering fundamentals and a passion for building high-quality solutions.
• Comfortable working in an environment with high responsibility and high expectations.

Responsibilities

• Design, build and deploy AI/ML solutions into production environments.
• Develop scalable backend applications, APIs and services using Python.
• Building cloud-native solutions within AWS environments.
• Creating and maintaining data pipelines and machine learning workflows.
• Monitoring, testing and optimising AI systems in production.
• Collaborating closely with engineering, product and data teams.
• Working across the full development lifecycle from design through to deployment and support.

Skills

Python

ML/DS

AWS

Databricks

Docker

Tools

Databricks

Docker

AWS

APIs

Job description

Tenth Revolution Group is seeking an AI Engineer / Machine Learning Engineer in a hybrid London role, focusing on deploying production AI/ML solutions and building scalable Python backends on AWS and Databricks. You'll own projects end-to-end, collaborate with data, product and software engineers, and drive data pipelines, model deployment, monitoring and iteration.

This is a hands-on role with real impact in a small team.