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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 strong coding skills are essential.
- Other info: No strict experience requirements; perfect for problem-solvers!
The predicted salary is between 54000 - 90000 £ 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 Warrington employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Warrington
✨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 friends or using online platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge in the process.
We think you need these skills to ace Machine Learning Engineer in Warrington
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, just like we do at StudySmarter.
Showcase Your Technical Skills: Don’t hold back on your coding abilities! Mention any cloud platforms or containerisation tools you’ve worked with, as this is key for us when looking for a Machine Learning Engineer.
Apply Through Our Website: We love it when you apply directly through our website! It makes the process smoother for both of us and ensures your application gets the attention it deserves.
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 and any containerisation tools you've used. Being able to speak confidently about your experience with cloud services will impress the interviewers and show you're prepared for the job.
✨Collaborate Like a Pro
This position involves working closely with data scientists and engineers. Prepare examples of past collaborations where you successfully handed over models or worked on joint projects. Highlighting your teamwork skills will demonstrate that you can thrive in a collaborative environment.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific instances where you tackled ambiguous problems in fast-paced settings. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how you approached challenges and what the outcomes were.
