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For Companies At a Glance
- Tasks: Architect and maintain low-latency ML services for ranking and recommendation models.
- Company: Join a fast-growing e-commerce start-up with a vibrant culture.
- Benefits: Flexible working, 25 days holiday, volunteering day, and irresistible product discounts.
- Other info: Remote work options and excellent career development opportunities await you.
- Why this job: Make a real impact with cutting-edge ML technology while collaborating with diverse teams.
- Qualifications: Solid ML foundation, strong Python skills, and experience with large datasets.
The predicted salary is between 50000 - 60000 ÂŁ per year.
What you'll be doing:
- Have a critical role in architecting, implementing, and maintaining production‑grade, low‑latency ML services for ranking models, recommendation algorithms, and forecasting methods.
- Collaborate with data scientists, product managers and other teams to brainstorm best approaches for solving the problems at hand, be they product‑related or infrastructure‑related.
- Help design experimentations to test ideas and assess improvements to our models.
- Advise on data strategy to provide datasets for future data science projects.
- Deliver ML models with agreed engineering standards to ensure that our capabilities are resilient, scalable and future‑proof.
- Enhance our AWS‑native MLOps platform, and guarantee high availability and low‑latency inference for our models.
- Bring energy and positivity to the role, looking for every opportunity to learn and craft the role around our values.
You’ll love this role if you…
- Have a solid foundation in traditional ML techniques and the model lifecycle, with the practical expertise to handle class imbalance, tune hyperparameters, and resolve common pitfalls like overfitting.
- Have demonstrable experience designing, deploying, and monitoring ML services to solve customer and business problems.
- Have strong programming skills in Python for delivering production‑ready, well‑structured and documented code.
- Have experience with large datasets and are proficient with SQL; exposure to Snowflake and dbt is a plus.
- Are curious about customer needs and take a pragmatic, data‑driven, and experimental approach to solving problems.
- Thrive in collaborative environments and work effectively with a range of people and teams.
- Bring a positive, optimistic mindset, overcoming setbacks and motivating those around you.
- Are keen to learn and stay up‑to‑date with the latest technologies and value sharing your knowledge with your peers.
It would be great if you also have…
- Experience working on an e‑commerce site or in a fast‑growing (preferably consumer‑facing) start‑up.
- Experience working in a fully‑remote setting.
Benefits:
- Flexible working & work from abroad
- 25 days holiday + your birthday + flexible bank holidays, & option to buy additional holiday each year
- 1 Volunteering day each year
- Enhanced family leave and a workplace nursery scheme
- A flexible training framework for every stage of your career
- Irresistible discounts on our products, blooms & subscriptions
- Share in our success with a choice to take equity options from day 1
- ClassPass membership: monthly credits to spend on fitness classes, yoga and much more
For more information on our perks & benefits, please see www.bloomandwild.com/careers
Machine Learning Engineer employer: Phoenix Court Group
Contact Detail:
Phoenix Court Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even online forums. The more people you know, the better your chances of landing that Machine Learning Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects and experiments. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your expertise in ML techniques!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and be ready to discuss your past projects. Confidence is key, so show them what you've got!
✨Apply Through Our Website
Don't forget to apply directly through our website! It shows you're genuinely interested in joining us at StudySmarter. Plus, it makes it easier for us to spot your application and get you in front of the right people.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Machine Learning Engineer role. Highlight your experience with ML techniques, programming in Python, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at StudySmarter. Share specific examples of how you've tackled challenges in ML and how you can contribute to our team.
Showcase Your Projects: If you've worked on any ML projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially if they relate to ranking models or recommendation algorithms.
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 from our team!
How to prepare for a job interview at Phoenix Court Group
✨Know Your ML Fundamentals
Brush up on your traditional machine learning techniques and the model lifecycle. Be ready to discuss how you've handled class imbalance, tuned hyperparameters, and tackled common pitfalls like overfitting in your past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and product managers, prepare examples of how you've successfully collaborated in the past. Highlight any brainstorming sessions or problem-solving approaches that led to successful outcomes.
✨Demonstrate Your Coding Proficiency
Be prepared to talk about your programming skills in Python. Bring along examples of production-ready code you've written, and be ready to discuss how you ensure your code is well-structured and documented.
✨Stay Curious and Positive
Exude energy and positivity during the interview. Share your enthusiasm for learning and staying updated with the latest technologies. Discuss how you approach setbacks and motivate those around you, as this aligns with the company’s values.