[Remote] Senior Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. Harnham is a Fintech company operating at a global scale, utilizing advanced machine learning for critical real-time decision making. They are seeking a Senior Machine Learning Engineer to tackle challenging problems in applied machine learning, focusing on fraud detection systems and improving core models within a mature ML environment.
Responsibilities
- Driving continuous improvement of core fraud detection models in production
- Designing and evolving experimentation workflows to support high velocity model iteration
- Rolling out a new ensemble based model architecture to improve decisioning performance
- Defining and implementing robust offline evaluation approaches in a low label environment
- Tackling complex statistical challenges such as delayed or missing fraud outcomes
- Partnering closely with product teams to develop new ML driven features for customers
- Contributing to a tech lead driven roadmap within a mature ML platform and tooling ecosystem
Skills
- Strong commercial experience building and deploying machine learning models in production
- Deep understanding of statistical modelling and evaluation, particularly in imperfect data settings
- Experience working with large scale data and distributed systems such as Spark
- Proficiency in Python and SQL, alongside modern ML libraries
- Experience designing experimentation frameworks or working with A B testing and offline validation
- Ability to translate ambiguous business problems into structured ML solutions
- Strong collaboration skills, with experience working cross functionally with product and engineering
Benefits
- Annual bonus and equity package
- Flexible remote working across the United States
- Comprehensive benefits including healthcare, pension contributions and paid leave
- Access to learning and development budget
- Opportunity to work on high impact ML systems with real world outcomes
- Clear progression within a technically strong and collaborative team
Company Overview