Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 - 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 Portsmouth employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Portsmouth
✨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 hiring process.
We think you need these skills to ace Machine Learning Engineer in Portsmouth
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!
Showcase Your Skills: Don’t just list your skills; give examples of how you’ve used them in real projects. We want to see your problem-solving abilities in action, especially in ambiguous situations.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re excited about this role and how your background makes you a great fit for our team at StudySmarter.
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 any important updates!
How to prepare for a job interview at Harnham
✨Know Your ML Systems
Make sure you brush up on your knowledge of machine learning systems, especially those you've deployed or maintained in production. Be ready to discuss specific models you've worked with and the challenges you faced while operationalising them.
✨Familiarise Yourself with Cloud Platforms
Since the role mentions GCP, it’s a good idea to get comfortable with Google Cloud Platform. Understand its services related to machine learning and be prepared to explain how you've used cloud platforms in your previous projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in ambiguous situations. Think of times when you had to troubleshoot issues in ML systems or improve their performance under pressure.
✨Collaboration is Key
This role involves working closely with data scientists and engineers, so be ready to discuss your experience collaborating with cross-functional teams. Share examples of how you’ve facilitated smooth handovers from prototype to production.
