We are looking for a Principal Machine Learning Engineer to shape the next generation of our data and machine learning capabilities, focusing on data quality, enrichment, and the intelligent linking of products and information.
Requirements
- Extensive experience designing and leading the development of large-scale distributed data and/or ML backend systems.
- Hands-on experience with ETL pipeline design and optimization for complex data sets is a strong advantage.
- Deep familiarity with technologies such as Apache Beam, Pub/Sub, Redis, and other large-scale data processing frameworks.
- Expertise in backend development with Python and Scala; knowledge of Node.js or Golang is a plus.
- Proficient with both SQL and NoSQL databases, and experience with data warehousing solutions.
- Demonstrated experience building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP preferred), using Kubernetes, Docker, CI/CD, and observability tools.
- Proven ability to lead and influence engineering direction across teams and functions, particularly in a data-centric and ML-driven environment.
- Strong communication skills and the ability to align diverse technical stakeholders around a cohesive vision for data quality and knowledge extraction.
Benefits
- Competitive base salary.
- Matching pension scheme (up to 5%) from day one.
- Discretionary company bonus scheme.
- 4 x annual salary Death in Service coverage from day one.
- Employee referral scheme.
- Tech Scheme.
- Private medical insurance from day one.
- Optical and dental cash back scheme.
- Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.
- EAP service.
- Cycle to Work scheme.
- 36 days annual leave (inclusive of bank holidays).
- An extra paid day off for your birthday.
- Ten paid learning days per year.
- Flexible working hours.
- Market-leading parental leave.
- Sabbatical leave (after five years).
- Work from anywhere (up to 3 weeks per year).
- Industry-recognised training and certifications.
- Bonusly employee recognition and rewards platform.
- Clear opportunities for career development.
- Length of Service Awards.
- Regular company events.