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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 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; perfect for tech-savvy problem solvers.
The predicted salary is between 54000 - 72000 £ per year.
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.
- 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 Maidstone employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Maidstone
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practising with mock interviews can help you feel more confident and ready to tackle any question thrown your way.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Machine Learning Engineer in Maidstone
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 updates from our team!
How to prepare for a job interview at Harnham
✨Know Your ML Systems Inside Out
Make sure you’re well-versed in the machine learning systems you've worked with. Be ready to discuss specific models you've deployed, how you monitored their performance, and any challenges you faced. This shows your technical depth and problem-solving skills.
✨Familiarise Yourself with Cloud Platforms
Since the role mentions GCP, brush up on your knowledge of Google Cloud Platform. Understand its services related to machine learning and be prepared to discuss how you've used cloud platforms in your previous projects. This will demonstrate your readiness to hit the ground running.
✨Collaboration is Key
This position involves working closely with data scientists and engineers. Think of examples where you’ve successfully collaborated in a team setting, especially in ambiguous situations. Highlighting your teamwork skills can set you apart from other candidates.
✨Prepare for Problem-Solving Scenarios
Expect to face some problem-solving questions during the interview. Practice articulating your thought process when tackling complex issues, especially in high-volume environments. This will showcase your resilience and ability to thrive under pressure.
