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- Tasks: Deploy and maintain ML systems while collaborating with data scientists and engineers.
- Company: Remote gaming and entertainment company focused on data-driven solutions.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and influence player experiences through innovative machine learning.
- Qualifications: Strong technical skills in Python, GCP, and stakeholder communication.
- Other info: Be part of a rapidly growing company with a focus on analytics and experimentation.
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 Chesterfield employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Chesterfield
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science space on LinkedIn. A friendly message can go a long way, and who knows, they might just refer you to that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and GCP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your communication skills, especially when discussing technical concepts with non-technical stakeholders. Practice makes perfect, so consider mock interviews with friends or mentors.
✨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 Chesterfield
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 data-driven gaming and how your background aligns with the company's goals. Don't forget to mention your communication skills, especially when dealing with stakeholders.
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. This will show us you have the hands-on experience we’re looking for!
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 these technologies confidently will show that you have the strong technical foundations they’re looking for.
✨Understand the Business
Familiarise yourself with the gaming and entertainment industry, especially how data science and machine learning are applied. Think about how player behaviour analytics and predictive modelling can impact business decisions. This will demonstrate your business awareness and commercial thinking during the interview.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you’ll be interacting with C-level stakeholders, it’s crucial to convey your ideas clearly and effectively. Consider doing mock interviews with friends or colleagues to refine your communication skills.
✨Show Resilience and Openness to Feedback
Be prepared to discuss past experiences where you faced challenges and how you overcame them. Highlight your comfort with receiving feedback and adapting your approach. This will showcase your resilience and ability to thrive in a dynamic environment.
