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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 make an impact on 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 Bedford employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Bedford
✨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 involving Python, SQL, 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 explaining your past projects in a clear and engaging way.
✨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 show your enthusiasm for joining our team.
We think you need these skills to ace Machine Learning Engineer in Bedford
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 comfort with stakeholder communication!
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 applications and ensures you get the best chance at joining our awesome team!
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 contribute to the company’s goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and resilience. Think of scenarios where you faced challenges in deploying ML systems or collaborating with data scientists and engineers. Be prepared to explain your thought process and how you overcame those challenges.
