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- Tasks: Take ownership of the ML function and build personalisation features for a retail platform.
- Company: Exciting Series A Scale-Up in the Retail space with a focus on innovation.
- Benefits: Competitive salary up to £150k, equity, and hybrid working in Central London.
- Other info: Join a dynamic team and help scale an innovative platform.
- Why this job: Perfect for ML enthusiasts wanting to make an impact with cutting-edge technology.
- Qualifications: Strong background in Machine Learning and experience with Recommendation/Ranking systems.
The predicted salary is between 90000 - 150000 £ per year.
OB have partnered with a Series A Scale‑Up in the Retail space, who are looking to expand their ML function as they continue to scale their platform. You will take a high degree of ownership over the ML function, building solutions for personalisation features on the platform. This is a perfect role for a true ML enthusiast, where you’ll have the opportunity to build Recommendation and Ranking systems in production environments, where you will use your foundation of Data Science and ML to work closely with the wider team.
Key skills and experience:
- Strong background in Machine Learning
- Experience building or working on Recommendation/Ranking systems
- Ideally experience in scaling organisations
- Strong academic background in STEM, from a Top ranked University
Salary – Base salary of £90k-£150k + equity (depending on skills and experience)
Hybrid working in Central London
To be considered, you must be UK based and Visa sponsorship is unavailable.
Machine Learning Engineer - Series A Scale-Up - Up to £150k employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Series A Scale-Up - Up to £150k
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially any work on Recommendation or Ranking systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Machine Learning Engineer - Series A Scale-Up - Up to £150k
Some tips for your application 🫡
Show Your Passion for ML: We want to see your enthusiasm for Machine Learning shine through in your application. Share any personal projects or experiences that highlight your love for building solutions, especially in personalisation features.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with Recommendation and Ranking systems, and don’t forget to mention any relevant academic achievements from your STEM background.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be sure to connect your skills and experiences directly to what we’re looking for in our ML function.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your skills!
How to prepare for a job interview at Oliver Bernard
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss your experience with recommendation and ranking systems, as well as any projects you've worked on. The more specific examples you can provide, the better!
✨Show Your Passion
This role is perfect for a true ML enthusiast, so let that passion shine through! Talk about what excites you about machine learning and how you stay updated with the latest trends and technologies in the field.
✨Understand Their Business
Research the company and its platform. Understand their current challenges and how your skills can help them scale their ML function. This will show that you're not just interested in the role, but also in contributing to their success.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge related to ML. Practice common algorithms and be ready to explain your thought process. It’s all about demonstrating your problem-solving skills and how you approach building solutions.