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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 cloud platforms; problem-solving skills are key.
- Other info: No strict experience requirements; perfect for tech-savvy innovators.
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 Bolton employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Bolton
✨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 questions 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’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 Bolton
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 specific examples of projects where you've worked with cloud platforms or containerisation tools. We love seeing real-world applications of your skills, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re excited about this role and how your problem-solving skills can help us in a fast-moving environment. Keep it engaging and personal.
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 our team!
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!
✨Get Familiar with Their Tech Stack
Since they prefer GCP and containerisation tools, it’s a good idea to familiarise yourself with these platforms. If you’ve worked with similar technologies, be prepared to explain how your skills can transfer. Showing that you understand their tech stack will definitely give you an edge.
✨Show Off Your Problem-Solving Skills
This role requires someone who thrives in ambiguous situations. Think of specific instances where you’ve solved complex problems or optimised processes. Being able to articulate your thought process will demonstrate your resilience and adaptability, which are key traits for this position.
✨Collaboration is Key
You’ll be working closely with data scientists and engineers, so highlight your teamwork skills. Share examples of how you’ve collaborated on projects in the past, particularly in transitioning models from prototype to production. This will show that you’re not just technically savvy but also a great team player.
