Senior Machine Learning Engineer

Senior Machine Learning Engineer

Remote in US

$160,000 - $190,000 Base + 10% Bonus

THE COMPANY

Harnham is partnering with a fintech that has built a leading fraud protection platform enabling merchants to grow confidently by eliminating fraud and delivering frictionless customer experiences. They're a global company that processes billions of transactions annually, leveraging advanced machine learning to approve more good orders while protecting revenue.

The company combines cutting-edge technology with a deeply collaborative and mission-driven culture. Their Machine Learning team sits at the core of the product, building and maintaining the models and experimentation frameworks that power fraud detection at scale.

RESPONSIBILITIES

• Own the end-to-end lifecycle of machine learning projects, from experimentation through deployment and production monitoring.
• Build, maintain, and optimize production-grade machine learning models for fraud detection.
• Design and implement scalable ML pipelines to enable rapid experimentation and model iteration.
• Develop advanced feature engineering and statistical methodologies to improve model performance.
• Collaborate with Product, Engineering, and Risk teams to translate business needs into ML solutions.
• Contribute to model training, evaluation frameworks, and experimentation infrastructure.
• Ensure robustness, scalability, and reliability of ML systems in high-volume production environments.
• Drive best practices in testing, documentation, and model monitoring across the ML team.

SKILLS AND EXPERIENCE

• 4-6+ years of experience in machine learning within production environments.
• Strong foundation in machine learning theory, statistical modeling, and evaluation techniques.
• Experience building and deploying supervised and unsupervised ML models at scale.
• Proven track record of taking ML projects from research/prototype to production.
• Proficiency in Python, SQL, and key machine learning libraries.
• Experience working with distributed data processing tools such as Spark.
• Strong communication skills, with the ability to explain technical insights to non-technical stakeholders.
• Detail-oriented mindset with a focus on delivering measurable business impact.

PREFFERED EXPERIENCE

• Experience in fraud detection, fintech, payments, or e-commerce domains.
• Advanced degree (Master's or PhD) in a quantitative field.
• Passion for writing well-tested, production-quality code.
• Interest in adversarial machine learning and combating fraud at scale.

BENEFITS

The compensation package includes a competitive base salary, performance-based bonus, and a comprehensive benefits package within a fast-growing, mission-driven organization.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Machine Learning | Fraud Detection | Fintech | Payments | E-Commerce | Python | SQL | Spark | Data Science | Statistical Modeling | Feature Engineering | MLOps | Experimentation | Adversarial ML | Production ML Systems