Machine Learning Engineer

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

Job summary

A gaming and entertainment company in the UK is seeking a Machine Learning Engineer to deploy and optimise ML systems. This fully remote role involves collaborating with data scientists and maintaining ML infrastructure for reliability in a fast-paced environment. Ideal candidates should have expertise in deploying ML systems and knowledge of cloud platforms, particularly Google Cloud Platform. Join this innovative team to contribute significantly to their data-driven projects.

Qualifications

• Experience deploying, monitoring, and maintaining ML systems in production.
• Strong understanding of cloud platforms, preferably GCP.
• Solid coding ability for reliable infrastructure.

Responsibilities

• Deploy, productionise, and monitor machine-learning models.
• Maintain and improve ML infrastructure for reliability and scalability.
• Collaborate with data scientists for smooth model handover.

Skills

Deploying ML systems

Monitoring ML systems

Problem-solving

Cloud platforms (GCP preferred)

Coding ability

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.