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Machine Learning Engineering Manager

Harnham United State
Remote
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AI Summary

Lead a team of 5-10 engineers to build and scale production-grade machine learning systems for real-time decisioning in e-commerce and payments. Own end-to-end ML pipelines, infrastructure, and experimentation frameworks while driving commercial outcomes at scale. Requires expertise in Python, SQL, distributed frameworks, and strong team leadership experience.

Key Highlights
Manage a team of 5-10 engineers and own end-to-end ML pipelines
Build and deploy production-grade ML models for real-time systems
Competitive compensation package of $200,000 - $230,000 base + bonus + equity
Key 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
Technical Skills Required
Python SQL Spark
Benefits & Perks
$200,000 - $230,000 base salary + bonus + equity
Fully remote working in the US
Unlimited paid time off and flexible working
Comprehensive health and financial benefits, including 401k
Learning budget

Job Description


Machine Learning Engineering Manager

USA | Remote | $200,000 - $230,000 base + bonus + equity


A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of 5-10 and own end-to-end ML pipelines, working on models that directly drive commercial outcomes at scale, as well as contribute to ML research within the AI Lab.


The Company


They are a fast-growing technology business operating in the e-commerce and payments space, processing large volumes of real-time transactions. Machine learning sits at the core of their product, with strong investment in infrastructure and experimentation. Teams own services end to end, enabling engineers to drive meaningful technical impact.


The Role


• 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


Your Skills & Experience


• 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


What They Offer


• $200,000 - $230,000 base salary + 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


How to Apply


Apply now to explore this Machine Learning Engineering opportunity.


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