Machine Learning Engineer

Harnham; United States; Remote; USD 180,000 - 220,000; Full time

Benefits offered by this job

4 day work week

Job summary

Harnham is hiring for a senior ML engineer to own projects from experimentation through to production, helping build and scale models that drive real-time decision-making at massive scale.

You’ll work with a high-impact ML team in a collaborative, research-driven environment with strong engineering standards. Responsibilities include building production models, designing evaluation frameworks, developing scalable ML infrastructure, and partnering with Product, Engineering, and business teams.

Qualifications

• Strong production machine learning experience.
• Deep understanding of ML, statistics, and model evaluation.
• Hands-on experimentation and model development from scratch.
• Experience with large-scale distributed data systems.
• Ability to take ownership of projects and deliver business impact.

Responsibilities

• Build, deploy, and improve production machine learning models.
• Design experimentation and evaluation frameworks.
• Develop scalable ML infrastructure and pipelines.
• Partner with Product, Engineering, and business teams.
• Drive best practices in testing, monitoring, and model performance.

Skills

Python

SQL

Spark

Production ML

Model evaluation

Distributed data

Ownership

Job description

Remote, USA | $200,000 + Bonus + Equity - 4 day work week

Join a high-impact ML team where machine learning sits at the core of the product. You'll own projects from experimentation through to production, helping build and scale models that drive real-time decision-making at massive scale.

The Company

This fast-growing technology business uses advanced machine learning to solve complex risk and decisioning challenges for global customers. Their ML teams own products end-to-end and work in a highly collaborative, research-driven environment with strong engineering standards.

The Role

• Build, deploy, and improve production machine learning models
• Design experimentation and evaluation frameworks
• Develop scalable ML infrastructure and pipelines
• Partner with Product, Engineering, and business teams
• Drive best practices in testing, monitoring, and model performance

Your Skills & Experience

• Strong production machine learning experience
• Deep understanding of ML, statistics, and model evaluation
• Hands-on experimentation and model development from scratch
• Python, SQL, and Spark expertise
• Experience working with large-scale distributed data systems
• Ability to take ownership of projects and deliver business impact