ML Engineer: Personalization & Recommendations for Wellness

Thehealthylivingstore; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A pioneering wellbeing platform in the UK is seeking a Machine Learning Engineer to build and enhance its personalisation and intelligence platform. You will design and deploy recommendation models, collaborate with cross-functional teams, and contribute to predictive algorithms, leveraging cutting-edge health tech. Ideal candidates have 4–6 years of experience in ML engineering or data science, with strong skills in Python and recommendation systems.

Benefits

Premium Wellhub Membership

Exclusive Healf Perks

Nest Pension

Wellbeing-focused workspace

Team connection activities

Qualifications

• 4–6 years of experience as a Machine Learning Engineer or Data Scientist in eCommerce or consumer tech.
• Strong background in building and deploying ML models using Python, PyTorch, TensorFlow.
• Experience with recommendation engines and personalisation pipelines.
• Familiarity with LLMs and NLP techniques.

Responsibilities

• Design, train, and deploy recommendation models.
• Develop and deploy ML models for product relevance and user engagement.
• Collaborate with Product and Data teams for signals that power personalisation.
• Contribute to predictive algorithms that leverage user data.

Skills

Machine Learning

Python

SQL

PyTorch

TensorFlow

Data Manipulation

NLP Techniques

CI/CD

Tools

dbt

Snowflake

BigQuery

Job description

A pioneering wellbeing platform in the UK is seeking a Machine Learning Engineer to build and enhance its personalisation and intelligence platform. You will design and deploy recommendation models, collaborate with cross-functional teams, and contribute to predictive algorithms, leveraging cutting-edge health tech. Ideal candidates have 4–6 years of experience in ML engineering or data science, with strong skills in Python and recommendation systems.