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For Companies At a Glance
- Tasks: Design and manage AI models to analyse blockchain data for cryptocurrency insights.
- Company: Dynamic cryptocurrency analytics firm focused on AI and ML innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of blockchain analytics.
- Qualifications: Experience in AI/ML engineering and a passion for cryptocurrency.
- Other info: Mentorship opportunities and a collaborative environment await you.
The predicted salary is between 36000 - 60000 £ per year.
Machine Learning Engineer
Fully Remote – UK based
Up to £90,000 + Benefits
About the Role
We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation.
This position is ideal for someone who is strong technically, resilient, enjoys problem-solving in ambiguous environments, and wants to work closely with both Data Scientists and Engineers.
Key Responsibilities
- Deploy, productionise, and monitor machine-learning models across the business.
- Maintain and improve ML infrastructure to ensure high reliability, scalability, and runtime performance.
- Collaborate with data scientists to ensure smooth model handover from prototype to production.
- Work alongside data engineers, supporting but not owning data-engineering pipelines.
- Build tooling, automation, and monitoring systems to support long-term ML lifecycle management.
- Ensuring live models perform consistently in a high-volume environment.
- Streamlining the deployment process and improving ML observability.
- Supporting automated decision systems across game-economy and player-behaviour use cases.
What We're Looking For
- Experience deploying, monitoring, and maintaining ML systems in production environments.
- Strong understanding of cloud platforms (GCP preferred) and containerisation/orchestration tools.
- Solid coding ability, with experience building reliable and scalable infrastructure.
- Excellent problem-solving skills and comfort operating within a fast-moving environment.
- No strict requirements on years of experience or academic background
If this looks of interest, please apply below.
Machine Learning Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto and AI/ML space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to blockchain. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Stay current! Keep up with the latest trends in AI, ML, and cryptocurrency. Share your insights on social media or in forums to demonstrate your passion and knowledge in the field.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Make sure to tailor your application to highlight your experience with AI/ML and blockchain technologies.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially in relation to blockchain data. 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 passionate about cryptocurrency and how your expertise can help us enhance our platform. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any AI/ML projects, especially those related to crypto or blockchain, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and ML, especially as they relate to blockchain. Be ready to discuss specific models you've worked with and how they can be applied to cryptocurrency analytics.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex challenges you've tackled in previous roles. Think about how you designed and deployed AI/ML models and be ready to explain your thought process and the impact of your solutions.
✨Collaborate Like a Pro
Since this role involves working with product managers and engineers, be prepared to discuss your experience in cross-functional teams. Highlight how you’ve successfully integrated AI/ML models into existing platforms and improved user experiences.
✨Mentorship Matters
If you have experience mentoring junior engineers, make sure to mention it! Talk about how you foster best practices in AI/ML development and how you can contribute to building a strong team culture.
