At a Glance
- Tasks: Own the ML function and build innovative personalisation features for a retail platform.
- Company: Exciting Series A Scale-Up in the Retail space with a focus on ML.
- Benefits: Competitive salary up to £150k, equity, and hybrid working in Central London.
- Other info: Join a dynamic team and help scale a cutting-edge platform.
- Why this job: Perfect for ML enthusiasts wanting to make an impact with Recommendation systems.
- Qualifications: Strong ML background and experience with Recommendation/Ranking systems required.
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.
ML Engineer - Recommender Systems - Up to £150k employer: Oliver Bernard
Join a dynamic Series A Scale-Up in the Retail sector, where your passion for Machine Learning will be nurtured and valued. With a strong emphasis on innovation and personal growth, you'll have the chance to take ownership of the ML function, working on cutting-edge personalisation features in a collaborative environment. Enjoy competitive compensation, equity options, and the flexibility of hybrid working in the vibrant heart of Central London.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer - Recommender Systems - 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 open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially any work on recommendation systems. This is your chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss how you've tackled challenges in past projects.
✨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 our team!
We think you need these skills to ace ML Engineer - Recommender Systems - 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 recommendation systems and how you’ve tackled challenges in the past.
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. We’re looking for candidates who can demonstrate their skills clearly and concisely.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Use it to explain how your background aligns with our needs and what excites you about working with us in the retail space. Keep it engaging and personal!
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 us you’re keen on joining our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation and ranking systems. Be ready to discuss your previous projects and how they relate to the role. We suggest preparing a few examples that showcase your problem-solving skills and technical expertise.
✨Show Your Passion for Personalisation
This role is all about personalisation features, so demonstrate your enthusiasm for creating tailored experiences. We recommend researching current trends in ML applications within retail and being prepared to share your thoughts on how you can contribute to their platform.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. We advise practising common ML algorithms and their applications. Brush up on your coding skills in Python or any relevant language, as you might need to solve problems on the spot.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the company and its goals. We suggest asking about their current ML projects, team dynamics, and how they envision the future of their platform. This not only shows your engagement but also helps you assess if it’s the right fit for you.
