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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 - 126000 £ 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 Newcastle upon Tyne employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Newcastle upon Tyne
✨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 love seeing applications directly from passionate candidates like you. It shows initiative and enthusiasm!
We think you need these skills to ace Machine Learning Engineer in Newcastle upon Tyne
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.
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your problem-solving skills and technical prowess. We love seeing real-world applications of your work, especially in ambiguous environments!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re excited about this role and how your skills align with our needs. Let us know how you can contribute to optimising our ML systems.
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 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 the overall success of the organisation.
✨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-moving environment.
