At a Glance
- 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 a growing organisation.
- 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 - Up to £150k - Series A Scale-Up employer: Oliver Bernard
Join a dynamic Series A Scale-Up in the Retail sector, where innovation meets opportunity. As a Machine Learning Engineer, you'll thrive in a collaborative and forward-thinking environment that values your expertise and encourages personal growth. With competitive salaries, equity options, and a hybrid working model in the heart of Central London, this is an exceptional chance to make a significant impact while advancing your career in a rapidly growing company.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Up to £150k - Series A Scale-Up
✨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 - Up to £150k - Series A Scale-Up
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:Use your cover letter to tell us why you’re the perfect fit for this role. Discuss how your skills align with our needs and express your excitement about contributing to a Series A Scale-Up in the Retail space.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands!
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 you've applied ML in real-world scenarios. This will show your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach building a personalisation feature from scratch. Demonstrating your thought process and problem-solving abilities can really set you apart.
✨Understand the Company’s Vision
Research the company and its platform thoroughly. Understand their goals and how your role as a Machine Learning Engineer fits into their expansion plans. This knowledge will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their current ML challenges or how they envision the ML function evolving as they scale. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
