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- Tasks: Enhance data and machine-learning capabilities while monitoring ML models.
- Company: Exciting gaming and entertainment company with a focus on innovation.
- Benefits: Salary up to £90,000, fully remote work, and great perks.
- Why this job: Join a dynamic team and make an impact in the gaming industry.
- Qualifications: Experience in deploying ML systems and strong problem-solving skills.
- Other info: Fully remote role with opportunities for growth in a fast-paced environment.
The predicted salary is between 54000 - 126000 £ per year.
A gaming and entertainment company in the UK is seeking a Machine Learning Engineer to enhance their data and machine-learning capabilities. The role is fully remote with a salary of up to £90,000 plus benefits. Ideal candidates should have experience in deploying ML systems and enjoy problem-solving in dynamic environments.
Responsibilities include:
- Monitoring ML models
- Improving infrastructure for optimal performance
Remote UK Production ML Engineer – Scale & Observability in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote UK Production ML Engineer – Scale & Observability in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and tech industry on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for ML.
✨Tip Number 2
Showcase your skills! Create a portfolio of your ML projects, especially those related to production systems. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Expect technical questions that test your understanding of ML systems and infrastructure. Practise explaining your thought process clearly and confidently.
✨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 Remote UK Production ML Engineer – Scale & Observability in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deploying ML systems and problem-solving. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to enhancing our data and machine-learning capabilities. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in dynamic environments. We love seeing how you approach problems and what solutions you've implemented in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with deploying ML systems, as well as any specific projects you've worked on that relate to the gaming and entertainment industry.
✨Showcase Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in dynamic environments. Think of specific challenges you've faced and how you approached them, especially in relation to monitoring ML models and optimising performance.
✨Familiarise Yourself with Their Tech Stack
Research the tools and technologies the company uses for their ML infrastructure. If you can demonstrate knowledge of their tech stack and how your skills align with it, you'll stand out as a strong candidate.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to machine learning and data management. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
