Note: The job is a remote job and is open to candidates in USA. Harnham is recruiting for a fast-growing technology business in the e-commerce and payments space, where machine learning supports high-volume real-time transactions. The Machine Learning Engineering Manager will lead a team of four, build and scale production ML systems, own end-to-end pipelines, and contribute to machine learning research within the AI Lab.
Responsibilities
- Build and deploy production-grade ML models for real-time systems
- Design scalable ML pipelines and infrastructure for high-throughput environments
- Develop offline experimentation and evaluation frameworks
- Improve model performance through statistical methods and feature engineering
- Work with distributed systems and large-scale data processing
- Partner with cross-functional teams to deliver ML solutions aligned to business needs
- Own the full lifecycle from experimentation to production and monitoring
Skills
- Strong commercial experience in Machine Learning Engineering
- Expertise in Python, SQL, and distributed frameworks such as Spark
- Deep understanding of model evaluation, experimentation, and statistics
- Experience building scalable ML systems from first principles
- Team leadership experience
Benefits
- Bonus
- Equity
- Fully remote working in the US
- Unlimited paid time off and flexible working
- Comprehensive health and financial benefits, including 401k
- Learning budget and clear ownership of high-impact systems
Company Overview
Company H1B Sponsorship