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For Companies At a Glance
- Tasks: Architect and maintain cutting-edge ML services for ranking and recommendation models.
- Company: Join a fast-growing e-commerce start-up with a vibrant, collaborative culture.
- Benefits: Flexible working, 25 days holiday, volunteering day, and irresistible product discounts.
- Other info: Work remotely and enjoy equity options from day one.
- Why this job: Make a real impact with innovative ML solutions while learning and growing your skills.
- Qualifications: Solid ML foundation, strong Python skills, and experience with large datasets.
The predicted salary is between 50000 - 70000 £ per year.
Responsibilities
- 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 with our infrastructure.
- Help design experimentations to test our 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: care wildly; think deeply, act swiftly; stay open, be curious; lead change for good.
Qualifications
- Have a solid foundation in traditional ML techniques and the model lifecycle, with 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.
- Strong programming skills in Python for delivering production-ready, well-structured, and documented code.
- Experience with large datasets and proficiency with SQL; exposure to Snowflake and dbt is a plus.
- Curious about customer needs and take a pragmatic, data-driven, experimental approach to solving problems.
- Thrive in collaborative environments and work effectively with a range of people and teams.
- Positive, optimistic mindset, overcoming setbacks and motivating those around you.
- Keen to learn and stay up-to-date with the latest technologies and value sharing your knowledge with your peers.
Preferred Experience
- Experience working on an e-commerce site or in a fast-growing 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, plus option to buy additional holiday each year.
- 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.
- Equity options from day 1.
- ClassPass membership: monthly credits for fitness classes, yoga, and more.
Machine Learning Engineer in City of Westminster employer: Bloomon UK Ltd
Contact Detail:
Bloomon UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 ML projects, experiments, and any cool stuff you've built. This is your chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common ML questions and coding challenges. Get comfortable explaining your thought process and how you tackle problems, as collaboration is key in our field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Machine Learning Engineer in City of Westminster
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let your enthusiasm for machine learning shine through! We want to see how you’ve tackled challenges in the past and how you can bring that energy to our team.
Tailor Your Experience: Make sure to highlight your relevant experience with ML services and programming in Python. We love seeing specific examples of how you've designed and deployed models, so don’t hold back!
Collaborate and Communicate: Since we value teamwork, share instances where you’ve collaborated with others to solve problems. This shows us you’re not just a tech whiz but also a great team player who can communicate effectively.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Bloomon UK Ltd
✨Know Your ML Basics
Make sure you brush up on traditional machine learning techniques and the model lifecycle. Be ready to discuss how you've handled class imbalance, tuned hyperparameters, and tackled issues like overfitting in your past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and product managers, be prepared to share examples of how you've collaborated in the past. Highlight any brainstorming sessions or teamwork experiences that led to successful outcomes.
✨Demonstrate Your Coding Proficiency
You’ll need strong programming skills in Python, so be ready to talk about your experience delivering production-ready code. If you have examples of well-structured and documented projects, bring them along to showcase your abilities.
✨Emphasise Your Curiosity and Positivity
This role values a positive mindset and a willingness to learn. Share instances where you've overcome setbacks and how you stay updated with the latest technologies. Show that you're eager to contribute to a collaborative environment and share knowledge with your peers.