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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 strong coding skills; no strict experience requirements.
- Other info: Collaborative environment with opportunities for growth and innovation.
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 Hull employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Hull
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your problem-solving approach. Practice makes perfect, so get a mate to do mock interviews with you.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better shot at landing that dream job.
We think you need these skills to ace Machine Learning Engineer in Hull
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 your problem-solving skills and how you've collaborated with data scientists and engineers in the past.
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud platforms like GCP and any containerisation tools you’ve used. We want to see your technical prowess right from the start!
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 get the ball rolling on your journey with us!
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 cloud platforms and containerisation tools. Be prepared to explain how you’ve used these technologies in past projects, as this will demonstrate your ability to maintain and improve ML infrastructure.
✨Collaboration is Key
Highlight your experience working with data scientists and engineers. Share examples of how you’ve facilitated smooth model handovers or collaborated on projects. This will show that you can thrive in a team environment and contribute to cross-functional success.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some real-world problems during the interview. Think about ambiguous situations you've encountered and how you resolved them. This will showcase your resilience and adaptability, which are crucial for thriving in a fast-paced setting.
