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For Companies At a Glance
- Tasks: Design and manage AI models to analyse blockchain data for cryptocurrency insights.
- Company: Join a leading cryptocurrency analytics firm revolutionising market opportunities with AI & ML.
- Benefits: Enjoy competitive pay, remote work options, and the chance to work with cutting-edge technology.
- Why this job: Be at the forefront of blockchain analytics, influencing technology and enhancing user experiences.
- Qualifications: Experience in AI/ML model design and deployment; strong collaboration and mentoring skills required.
- Other info: Work in a dynamic environment with opportunities for professional growth and innovation.
The predicted salary is between 43200 - 72000 £ 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
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to blockchain technology. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the cryptocurrency and AI/ML sectors. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable referrals or insights about the company culture.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI/ML models. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Demonstrate your ability to work collaboratively by highlighting experiences where you've partnered with product managers or engineers. Emphasising teamwork will show that you're a good fit for their cross-functional environment.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning, particularly any projects involving blockchain data. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML and the cryptocurrency industry. Explain why you are interested in this role and how your background aligns with the company's goals.
Showcase Technical Skills: In your application, emphasise your technical skills related to AI/ML model design and implementation. Mention any programming languages, frameworks, or tools you are proficient in that are relevant to the job.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations with product managers or engineers. This will demonstrate your ability to work effectively in a team environment.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI and ML models in detail. Bring examples of projects you've worked on, especially those involving blockchain data analysis. Demonstrating your technical expertise will help you stand out.
✨Understand the Company’s Focus
Research the cryptocurrency analytics firm and its products. Familiarise yourself with their approach to AI/ML and how they integrate these technologies into their platform. This knowledge will show your genuine interest and help you tailor your responses.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about complex challenges you've encountered in previous roles and how you overcame them, particularly in relation to AI/ML and blockchain.
✨Emphasise Collaboration and Mentorship
Highlight your experience working in cross-functional teams and mentoring junior engineers. The company values collaboration, so sharing examples of how you've fostered best practices and supported team members will resonate well.
