AI Engineer / Machine Learning Engineer

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

AI Engineer / Machine Learning Engineer

Hybrid (London) - Python - AWS - Databricks - Up to £100,000

We're partnered with an innovative, technology-led organisation that is investing heavily in AI and machine learning as a core part of its future growth. They're looking for an AI Engineer / Machine Learning Engineer to join a small, highly capable team where you'll have the autonomy, ownership and influence that's often missing in larger businesses.

This isn't a research-focused role. It's about applying AI and machine learning to real business challenges, building production-ready solutions and owning projects from initial concept through to deployment and iteration.

You'll be joining a close-knit engineering environment where your ideas will be heard, technical decisions won't get lost in layers of management and you'll have the opportunity to make a meaningful impact across the business. If you enjoy solving complex problems, working with modern technologies and taking ownership of what you build, this could be the role for you.

You Will Work With

• Designing, building and deploying AI/ML solutions into production environments.
• Developing 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.

Benefits

• Join a small team where your contributions have a direct impact
• End-to-end ownership from design through to production
• Opportunity to shape the future AI capability of the business
• Work across the full AI/ML lifecycle rather than specialising in one area
• Work alongside experienced engineers in a highly collaborative environment
• Clear progression opportunities as the function continues to grow
• Flexible working environment focused on outcomes rather than micromanagement

Key Experience

• 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.