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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: Flexible working options, competitive salary, and opportunities for professional growth.
- 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 36000 - 60000 £ 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.
- 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.
- 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. Solid coding ability, with experience building reliable and scalable infrastructure. No strict requirements on years of experience or academic background.
Machine Learning Engineer (hybrid or remote) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (hybrid or remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and machine learning space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that demonstrate your problem-solving abilities. Share it during interviews to impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance of landing that dream role with us.
We think you need these skills to ace Machine Learning Engineer (hybrid or remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your technical abilities, especially in deploying and maintaining ML systems, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about machine learning and how you can contribute to our gaming and entertainment business. Share specific examples of problem-solving in ambiguous environments to showcase your resilience.
Showcase Your Technical Skills: Don’t shy away from detailing your coding abilities and experience with ML infrastructure. We want to see how you’ve built reliable and scalable systems, so include any relevant tools or technologies you’ve used.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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, as well as any specific projects you've worked on. This is your chance to show off your technical skills!
✨Show Your Problem-Solving Skills
Since the role involves working in ambiguous environments, prepare to share examples of how you've tackled complex problems in the past. Think about situations where you had to think on your feet or adapt quickly, and be ready to explain your thought process.
✨Collaboration is Key
This position requires working closely with data scientists and engineers, so be prepared to discuss your teamwork experiences. Highlight any collaborative projects you've been part of and how you contributed to the success of those initiatives.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company's ML infrastructure and their approach to model deployment. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
