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- Tasks: Deploy and maintain machine learning systems in a dynamic gaming environment.
- Company: Remote data-driven gaming company scaling its Data Science capabilities across Europe.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a vibrant team and influence player experiences through innovative ML solutions.
- Qualifications: Strong technical skills in Python, GCP, and stakeholder communication.
- Other info: Collaborate with C-level stakeholders in a fast-paced, supportive environment.
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 Bournemouth employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Bournemouth
✨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 have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and GCP. This is your chance to demonstrate your technical foundations and business awareness in a tangible way.
✨Tip Number 3
Prepare for those interviews! Brush up on your communication skills, especially when discussing complex topics with non-technical stakeholders. Practice explaining your past projects in simple terms to show your clarity and confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Machine Learning Engineer in Bournemouth
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 ideas 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, showing that you can thrive in a dynamic environment.
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.
