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- Tasks: Deploy and optimise machine learning models in a dynamic gaming environment.
- Company: Fully remote gaming and entertainment business with a data-driven culture.
- Benefits: Up to £90,000 salary, flexible remote work, and great benefits.
- Why this job: Join a cutting-edge team and make an impact in the gaming industry.
- Qualifications: Experience with ML systems and cloud platforms; strong coding skills.
- Other info: No strict experience requirements; perfect for problem solvers.
The predicted salary is between 54000 - 126000 £ per year.
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.
Machine Learning Engineer in Leicester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Leicester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend virtual meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This could be anything from GitHub repos to blog posts explaining your thought process. It’s a great way to stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your past experiences. Practising with mock interviews can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Machine Learning Engineer in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deploying and maintaining ML systems. Use keywords from the job description to show we’re on the same page!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share specific examples of how you've tackled problem-solving in ambiguous environments, and why you’re excited about this role.
Showcase Your Technical Skills: Don’t hold back on your coding abilities! Mention any relevant projects or tools you’ve used, especially around cloud platforms and containerisation, to demonstrate your fit for the role.
Apply Through Our Website: We want to hear from you! Make sure to apply through our website so we can easily track your application and get back to you quickly. Good luck!
How to prepare for a job interview at Harnham
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks. Be ready to discuss your experience with deploying and maintaining ML systems, especially in production environments. Familiarity with cloud platforms like GCP will definitely give you an edge!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in ambiguous situations. Think about times when you had to optimise ML models or improve infrastructure reliability. This will demonstrate your resilience and ability to thrive in a fast-paced environment.
✨Collaboration is Key
Since the role involves working closely with data scientists and engineers, be ready to discuss your collaborative experiences. Highlight any projects where you successfully handed over models from prototype to production, and how you supported data engineering pipelines.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's ML systems and their approach to data-driven decision-making. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
