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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 Colchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Colchester
✨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 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 and how they relate to player behaviour analytics.
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer in Colchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Machine Learning Engineer role. Highlight your technical foundations in Python, GCP, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and machine learning, and how your business awareness can contribute to our gaming and entertainment company. Keep it engaging and personal!
Showcase Your Communication Skills: Since this role involves interaction with C-level stakeholders, it's crucial to demonstrate your communication prowess. In your application, mention any experiences where you've effectively communicated complex ideas to non-technical audiences. We love clear communicators!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, we’re excited to see what you bring to the table!
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 deal with feedback or challenges in deploying ML systems. Highlight your ability to maintain quality and reliability under pressure.
