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For Companies At a Glance
- 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 comprehensive 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 and problem-solving skills.
- Other info: No strict experience requirements; great opportunity for growth and innovation.
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 Derby employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Derby
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and machine learning space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your problem-solving approach. Practising common ML scenarios 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 that might just be the perfect fit for you. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Machine Learning Engineer in Derby
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 about what you bring to the table.
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 collaborated with data scientists. Let us see your personality!
Showcase Your Technical Skills: Don’t hold back on your coding abilities! Mention any cloud platforms and containerisation tools you’ve worked with. We want to know how you can help us build reliable and scalable infrastructure.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with deploying and maintaining ML systems, especially in production environments. They’ll want to know how you’ve tackled challenges in the past, so have some examples up your sleeve!
✨Cloud Platforms Are Key
Since they prefer GCP, it’s a good idea to familiarise yourself with Google Cloud Platform if you haven’t already. Understand its services related to machine learning and be prepared to explain how you’ve used cloud platforms in your previous roles. This will show that you’re not just technically savvy but also adaptable.
✨Collaboration is Crucial
This role involves working closely with data scientists and engineers, so highlight your teamwork skills. Think of specific instances where you collaborated on projects, especially around model handovers or improving ML infrastructure. Show them you can communicate effectively across teams!
✨Problem-Solving Mindset
They’re looking for someone who thrives in ambiguous situations. Prepare to discuss how you approach problem-solving, particularly in fast-paced environments. Share examples of how you’ve navigated challenges and what strategies you employed to find solutions. This will demonstrate your resilience and adaptability.
