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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 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Recommendation and Ranking systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common algorithms and be ready to discuss your past experiences in detail. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Machine Learning Engineer role!
We think you need these skills to ace Machine Learning Engineer - 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 ML, especially in Recommendation and Ranking systems!
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant experience and skills that align with the job description, particularly your background in building ML solutions and working in scaling organisations.
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 mention specific projects or achievements that demonstrate your expertise in ML and how you can contribute to our team.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Oliver Bernard
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around recommendation and ranking systems. Be ready to discuss algorithms, their applications, and any projects you've worked on that showcase your skills in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach building a recommendation system from scratch or optimising an existing one. This will demonstrate your analytical thinking and practical application of ML concepts.
✨Familiarise Yourself with the Company’s Product
Research the company’s platform and understand its current personalisation features. Being able to discuss how you could enhance these features with your ML expertise will show your genuine interest and initiative.
✨Prepare Questions for Them
Have a list of insightful questions ready to ask the interviewers. Inquire about their current ML challenges, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.