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 great benefits.
- Why this job: Join a cutting-edge team and make an impact in the gaming industry.
- Qualifications: Experience with ML systems and cloud platforms; coding skills are a plus.
- Other info: No strict experience requirements; perfect for problem-solvers.
The predicted salary is between 54000 - 126000 £ per year.
Fully Remote - UK based
Up to £90,000 + Benefits
About the Role
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.
What We’re Looking For
- 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 Guildford employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Guildford
✨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 those interviews! Brush up on common ML concepts and be ready to discuss your past experiences. Practising with friends or using mock interview platforms can really help.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Machine Learning Engineer in Guildford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deploying and maintaining ML systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your problem-solving skills can help us in a fast-paced environment. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud platforms and containerisation tools. We’re keen on seeing how you’ve used these technologies in past roles, so give us the details that matter!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks. Be ready to discuss your experience with deploying and maintaining ML systems, especially in production environments. They’ll want to know how you’ve tackled challenges in the past, so have some examples up your sleeve!
✨Cloud and Containers are Key
Since they prefer GCP and containerisation tools, it’s a good idea to familiarise yourself with these technologies. If you’ve worked with cloud platforms before, be prepared to share specific projects where you utilised them. This will show that you’re not just theoretically knowledgeable but practically experienced too.
✨Collaboration is Crucial
This role involves working closely with data scientists and engineers, so highlight your teamwork skills. Think of examples where you’ve successfully collaborated on projects, particularly those involving model handovers or infrastructure improvements. They’ll appreciate someone who can communicate effectively across teams.
✨Problem-Solving Mindset
They’re looking for someone who thrives in ambiguous situations. Prepare to discuss how you approach problem-solving, especially in fast-paced environments. Share stories that demonstrate your resilience and ability to adapt when things don’t go as planned. This will show that you’re a great fit for their dynamic culture.
