Machine Learning Engineer
Company: Phoenix Court Group
Location: London
Posted: May 2nd, 2026
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
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