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- Tasks: Deploy and maintain machine learning systems while collaborating with data scientists and engineers.
- Company: A fully remote, data-driven gaming and entertainment company scaling across Europe.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the gaming industry with cutting-edge technology.
- Qualifications: Strong technical skills in Python, GCP, and experience in stakeholder communication.
- Other info: Work in a supportive environment with a focus on quality and resilience.
The predicted salary is between 36000 - 60000 £ per year.
We are currently working on a fully remote, data-driven gaming & entertainment company that is scaling its Data Science and Machine Learning capabilities across Europe. The business has around 100 employees globally and is deeply invested in analytics, experimentation, and automated decision-making.
They are now hiring for:
- Senior Data Scientist
You will work on player-behaviour analytics, predictive modelling (churn, CLV, recommendations), and game-economy optimisation. The role involves significant ownership and frequent interaction with C-level stakeholders, so strong communication and statistical depth are essential.
- Machine Learning Engineer
Focused on deploying, maintaining, and monitoring ML systems. You won’t be building models but will work closely with Data Science and engineering teams to ensure performance and reliability. Quality and resilience matter more than years of experience.
What they look for:
- Strong technical foundations
- Business awareness and commercial thinking
- High resilience and comfort with stakeholder communication and feedback
- Clear communication, especially with senior stakeholders
Desired Skills and Experience:
- GCP
- Python
- Kubernetes
- Deployment
Machine Learning Engineer in Telford employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Telford
✨Tip Number 1
Network like a pro! Reach out to people in the gaming and data science sectors 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 projects, especially those related to player-behaviour analytics or predictive modelling. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Python and GCP. Also, practice explaining complex concepts in simple terms – it’s key when communicating with C-level stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Machine Learning Engineer in Telford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, GCP, and any relevant projects that showcase your skills in deploying and maintaining ML systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the gaming and entertainment industry and how your background aligns with the company's goals. Don't forget to mention your communication skills!
Showcase Your Technical Skills: In your application, be sure to highlight your technical foundations. Mention specific projects or experiences where you've used Kubernetes or worked on deployment processes, as these are key for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of 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 Tech Inside Out
Make sure you’re well-versed in Python, SQL, and GCP. Brush up on your knowledge of Kubernetes and deployment strategies too. Being able to discuss how you’ve used these technologies in past projects will show that you’re not just familiar with them, but that you can apply them effectively.
✨Showcase Your Communication Skills
Since the role involves frequent interaction with C-level stakeholders, practice articulating complex technical concepts in a clear and concise manner. Prepare examples of how you've successfully communicated with non-technical audiences in the past, as this will demonstrate your ability to bridge the gap between tech and business.
✨Demonstrate Business Awareness
Understand the gaming and entertainment industry, especially how data science and machine learning can drive player engagement and optimise game economies. Be ready to discuss how your work can impact the bottom line and improve player experiences.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and resilience. Think of scenarios where you had to troubleshoot ML systems or collaborate with data scientists and engineers. Highlight your approach to maintaining quality and reliability in your work, as this is crucial for the role.
