Senior Machine Learning Engineer

Harnham
New York, New York, United StatesFull-time$160,000–$210,000Posted Sep 16, 2026

About the role

Senior Machine Learning Engineer / Machine Learning Scientist (Fraud Detection)

USA Remote | $160,000 to $210,000 base + bonus + equity

This is a high-impact opportunity to work on machine learning systems that directly influence real-time financial decisions at scale. You will take ownership of experimentation and production models that sit at the heart of a fraud prevention platform, with the autonomy to shape how models are built, evaluated, and deployed.

The Company

They are a well-established fintech business operating at global scale, providing AI-driven fraud protection for e-commerce transactions. Their platform enables online retailers to approve more genuine customers while protecting against fraudulent activity, backed by a financial guarantee model. With a strong international presence and a customer base spanning thousands of merchants, they process large volumes of transactions across multiple markets. Machine learning is central to their product, with continued investment in their in-house ML infrastructure and experimentation capabilities.

The Role

Own end-to-end machine learning development, from experimentation through to production deployment and monitoring

Design and implement scalable ML pipelines to support fast, high-quality experimentation

Develop and improve fraud detection models, including ensemble approaches and decision systems

Build robust offline evaluation frameworks to validate model performance before release

Collaborate with product, engineering, and risk teams to translate business challenges into ML solutions

Contribute to best practices across model development, testing, and monitoring

Your Skills & Experience

Strong commercial experience in machine learning, with a solid grounding in statistics and model evaluation

Proven ability to design and run experiments and translate findings into production systems

Experience working in distributed computing environments, including Spark

Proficiency in Python and SQL, with experience building scalable data and ML pipelines

Deep understanding of supervised and unsupervised learning techniques in high-scale environments

Ability to own complex problems end to end and deliver measurable business impact

What They Offer

Base salary between $160,000 and $210,000, depending on location and experience

Annual bonus up to 10% and a stock option package

Comprehensive benefits including healthcare, retirement plans, and wellbeing support

Unlimited paid time off and a dedicated learning and development budget

A collaborative, research-minded environment with strong technical standards and ownership

How to Apply

If you are interested in applying your machine learning expertise to high-impact fraud detection systems, please submit your CV to learn more.

Responsibilities

  • Own end-to-end machine learning development, from experimentation through to production deployment and monitoring
  • Design and implement scalable ML pipelines to support fast, high-quality experimentation
  • Develop and improve fraud detection models, including ensemble approaches and decision systems
  • Build robust offline evaluation frameworks to validate model performance before release
  • Collaborate with product, engineering, and risk teams to translate business challenges into ML solutions
  • Contribute to best practices across model development, testing, and monitoring

Qualifications

  • Strong commercial experience in machine learning, with a solid grounding in statistics and model evaluation
  • Proven ability to design and run experiments and translate findings into production systems
  • Experience working in distributed computing environments, including Spark
  • Proficiency in Python and SQL, with experience building scalable data and ML pipelines
  • Deep understanding of supervised and unsupervised learning techniques in high-scale environments
  • Ability to own complex problems end to end and deliver measurable business impact

Benefits

  • Annual bonus up to 10% and a stock option package
  • Comprehensive benefits including healthcare, retirement plans, and wellbeing support
  • Unlimited paid time off and a dedicated learning and development budget
  • A collaborative, research-minded environment with strong technical standards and ownership

Skills mentioned

Machine LearningPythonSQLApache SparkData PipelinesSupervised LearningUnsupervised LearningModel EvaluationModel DeploymentModel Monitoring

About Harnham

Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements. Our five core services: * ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a * Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success. * Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era. * Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals. * GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.

Staffing and Recruiting201-500 employeesWimbledon, London

H-1B sponsorship history

Historical employer filing data was found for Harnham. The employer record includes 1 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.