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- 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, equity options, and hybrid working in Central London.
- Other info: Perfect for ML enthusiasts looking to grow in a dynamic environment.
- Why this job: Join a passionate team and make a real impact with cutting-edge ML solutions.
- 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.
Machine Learning Engineer - Series A Scale-Up in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in ML or at companies you're interested in. A friendly chat can lead to opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially any work on Recommendation and Ranking systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your ML knowledge and being ready to discuss your past experiences. Practice common interview questions and think about how your background fits with the role at a Series A Scale-Up.
✨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 in London
Some tips for your application 🫡
Show Your Passion for ML: We want to see your enthusiasm for Machine Learning! Make sure to highlight any personal projects or experiences that showcase your love for building Recommendation and Ranking systems. Let your passion shine through!
Tailor Your CV: Don’t just send a generic CV! We’re looking for candidates who can demonstrate their relevant experience in ML and scaling organisations. Customise your CV to reflect how your skills align with the role and our company values.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your work in ML and how you’ve contributed to personalisation features in the past. Make it engaging and memorable!
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 don’t miss out on any important updates. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Oliver Bernard
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals, especially around recommendation and ranking systems. Be ready to discuss your previous projects and how you've applied ML techniques in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach building a recommendation system from scratch and be ready to explain your thought process clearly.
✨Understand the Company’s Product
Do your homework on the company’s platform and its current features. Being able to discuss how you can enhance their personalisation features will show your genuine interest and understanding of their needs.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your enthusiasm for the role and the company. Inquire about their current ML challenges or future projects, which will help you stand out as a proactive candidate.