Machine Learning Engineer

Harnham; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading gaming and entertainment business is seeking a Machine Learning Engineer for a fully remote role in the UK. The ideal candidate will deploy and monitor machine-learning models, maintain ML infrastructure, and collaborate with data scientists. Strong technical skills and problem-solving abilities are essential, with no strict requirements on years of experience. This position offers a competitive salary of up to £90,000 plus benefits.

Qualifications

• Experience deploying, monitoring, and maintaining ML systems in production environments.
• Strong understanding of cloud platforms, especially GCP.
• Solid coding ability, with experience building reliable and scalable infrastructure.

Responsibilities

• Deploy, productionise, and monitor machine-learning models across the business.
• Maintain and improve ML infrastructure for reliability and performance.
• Collaborate with data scientists for model handover from prototype to production.

Skills

Experience deploying ML systems

Understanding of cloud platforms (GCP preferred)

Solid coding ability

Excellent problem-solving skills

Tools

Containerisation tools

Orchestration tools

Job description

Machine Learning Engineer

Fully Remote - UK based

Up to £90,000 + Benefits

About the Role

We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation.

This position is ideal for someone who is strong technically, resilient, enjoys problem-solving in ambiguous environments, and wants to work closely with both Data Scientists and Engineers.

Key Responsibilities

• Deploy, productionise, and monitor machine-learning models across the business.
• Maintain and improve ML infrastructure to ensure high reliability, scalability, and runtime performance.
• Collaborate with data scientists to ensure smooth model handover from prototype to production.
• Work alongside data engineers, supporting but not owning data-engineering pipelines.
• Build tooling, automation, and monitoring systems to support long-term ML lifecycle management.
• Ensuring live models perform consistently in a high-volume environment.
• Streamlining the deployment process and improving ML observability.
• Supporting automated decision systems across game-economy and player-behaviour use cases.

What We’re Looking For

• Experience deploying, monitoring, and maintaining ML systems in production environments.
• Strong understanding of cloud platforms (GCP preferred) and containerisation / orchestration tools.
• Solid coding ability, with experience building reliable and scalable infrastructure.
• Excellent problem-solving skills and comfort operating within a fast-moving environment.
• No strict requirements on years of experience or academic background.

If this looks of interest, please apply below.