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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 Slough 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 Slough
✨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 in Slough
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 us know why you're excited about this role!
Tailor Your CV: Don’t just send a generic CV! We’re looking for candidates who can demonstrate their relevant experience in ML and personalisation features. Customise your CV to reflect the skills and experiences that align with our job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for our team. Share specific examples of your work in scaling organisations and how you’ve contributed to ML functions in the past.
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 that you're genuinely interested and invested in their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack they use, and their future plans for scaling. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.