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Job Description: Staff Machine Learning Engineer
Forsyth Barnes · United States (Remote)

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Meet the hiring team

Tommy Harris  
 3rd
I partner with the fastest-growing FinTech organisations, connecting them with top Data & AI talent within the UK & US market.
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About the job
Job Title: Staff Machine Learning Engineer
Location: Remote (US based)


About the Client:

Our client is an innovative financial technology company transforming digital banking experiences. Operating with a strong startup mentality, the organization leverages modern data platforms and advanced analytics to build scalable products that redefine standards within financial services.


Role Overview:

Our client is seeking a Staff Machine Learning Engineer with 5–7+ years of experience to join their growing engineering organization. This individual will play a key technical leadership role, designing and delivering machine learning solutions that support critical business initiatives. The role involves close collaboration with data engineering, product, and analytics partners in a fast-paced, high-ownership environment.


Key Responsibilities:

Design, build, and deploy scalable machine learning models addressing complex business problems.
Provide technical leadership and contribute to the long-term strategy for machine learning platforms and tooling.
Partner with data engineering teams to develop production-grade data pipelines using Databricks and Apache Spark.
Develop and maintain high-quality, production-ready Python code.
Evaluate and implement advanced algorithms with a focus on performance, scalability, and interpretability.
Mentor and guide other engineers, promoting best practices and technical excellence.
Collaborate with cross-functional stakeholders to translate business requirements into ML-driven solutions.
Champion best practices across the ML lifecycle, including model versioning, monitoring, and retraining.


Required Qualifications:

Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
5–7+ years of hands-on experience in machine learning, data science, or related engineering roles.
Strong experience with Databricks, Apache Spark, and large-scale data processing systems.
Advanced proficiency in Python and common ML/data libraries.
Prior experience within financial services or fintech environments.
Ability to thrive in a startup-style culture with rapid iteration, ambiguity, and high ownership.
Strong communication and problem-solving skills.