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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.
ML Engineer
Location: Chester (Hybrid – 2x week in office)
Salary: £70,000 – £80,000
About the Role
I\’m working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment.
What You’ll Be Doing
- Operationalising machine learning models and ensuring they are production-ready
- Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models
- Contributing to churn and revenue prediction use cases
- Working on conversational AI, including an in-house AI agent designed to support customers throughout their stay
- Collaborating closely with engineers, designers, and product stakeholders
- Helping establish best practices for CI/CD, model deployment, and ML operations across the organisation
- Supporting a move towards a product-aligned, hub-based operating model
Technology Stack
- Cloud-first environment with Microsoft Azure Fabric
- Python, PyTorch
- SQL
- Apache Spark
- Azure Data Factory (ADF)
- Git
What We’re Looking For
- 3–4 years’ experience in AI/ML engineering, data engineering, or applied data science
- Strong Python skills with experience deploying ML models to production
- Solid software engineering fundamentals (clean code, version control, testing mindset)
- Experience working with customer or marketing data
- Exposure to ML Ops practices (full CI/CD expertise not required)
- Experience handling customer or personal data is a plus (e.g. chatbot or conversational AI projects)
- Strong communication skills and ability to work cross-functionally
- Master’s degree in Computer Science, Data Science, or a related field preferred
Locations
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 open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to blockchain. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and blockchain applications. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 AI/ML and how you can contribute to our mission in the cryptocurrency space. 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.
