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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: Competitive salary up to £90,000 plus benefits and remote work flexibility.
- Why this job: Join a cutting-edge team and make an impact in the gaming industry.
- Qualifications: Experience with ML systems and cloud platforms; strong coding and problem-solving skills.
- Other info: No strict experience requirements; perfect for tech-savvy 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 Swindon employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Swindon
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and machine learning space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with deploying and maintaining ML systems. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Machine Learning Engineer in Swindon
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 love seeing problem-solving in action, 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 background makes you a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get the ball rolling on your journey with us!
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, 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 platforms. Be prepared to talk about your experience with cloud services and how you've used container orchestration in your previous projects. This will show that you’re technically savvy and ready to hit the ground running.
✨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 around model handovers or improving ML infrastructure. They’ll appreciate someone who can communicate effectively across teams.
✨Problem-Solving Mindset
They’re looking for someone who thrives in ambiguous situations, so be ready to showcase your problem-solving abilities. Prepare to discuss specific challenges you’ve faced in fast-paced environments and how you approached them. This will demonstrate your resilience and adaptability, which are key traits for this role.
