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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: 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.
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 Basildon employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Basildon
✨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 mock interviews can help you feel more confident and ready to impress.
✨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.
We think you need these skills to ace Machine Learning Engineer in Basildon
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 any relevant projects or experiences that demonstrate your problem-solving skills in ambiguous environments. We love seeing how you've tackled challenges in the past!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're excited about the role and how your skills align with our needs. Keep it conversational and genuine, just like we are.
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 us!
How to prepare for a job interview at Harnham
✨Know Your ML Systems Inside Out
Make sure you’re well-versed in the machine learning systems you've worked with. Be ready to discuss specific models you've deployed, how you monitored their performance, and any challenges you faced. This shows your technical depth and problem-solving skills.
✨Familiarise Yourself with Cloud Platforms
Since the role mentions GCP, brush up on your knowledge of Google Cloud Platform and any containerisation tools you've used. Being able to speak confidently about these technologies will demonstrate your readiness for the job and your ability to collaborate effectively with data engineers.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some real-world problems during the interview. Think of examples where you had to troubleshoot or optimise ML systems. Practising how you articulate your thought process can really impress the interviewers and show your resilience in ambiguous situations.
✨Show Your Collaborative Spirit
This role involves working closely with data scientists and engineers, so be prepared to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve facilitated smooth model handovers or supported team projects, highlighting your teamwork skills.
