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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 GCP, Python, 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 Chester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Chester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to player-behaviour analytics or predictive modelling. This is your chance to demonstrate your technical foundations and business awareness.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to interact with C-level stakeholders. Remember, clarity is key!
✨Tip Number 4
Apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it gives you a better chance of being noticed by the hiring team directly.
We think you need these skills to ace Machine Learning Engineer in Chester
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.
Showcase Communication Skills: Since this role involves interaction with C-level stakeholders, emphasise your communication skills. Use examples from past experiences where you effectively communicated complex technical concepts to non-technical audiences.
Highlight Resilience: Demonstrate your resilience and ability to handle feedback. Share instances where you faced challenges in previous roles and how you overcame them, especially in high-pressure situations.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
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 these technologies confidently will show that you have the strong technical foundations they’re looking for.
✨Showcase Your Communication Skills
Since the role involves frequent interaction with C-level stakeholders, practice articulating complex concepts in a clear and concise manner. Prepare examples of how you've effectively communicated technical information to non-technical audiences in the past.
✨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 business outcomes and contribute to their goals.
✨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 handle feedback from stakeholders. Practising these responses will help you convey your ability to maintain quality and reliability under pressure.
