Senior ML Engineer (Production ML, Financial Data) - Remote

FullStack; Charleston (WV); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive Salary

Paid Time Off

100% remote work

Health, dental, and vision insurance

401(k) with 4% match

Career advancement

Continuing education opportunities

Job summary

FullStack seeks a Senior Machine Learning Engineer to join our team. You will work with our clients—startups and Fortune 500s—to build production ML solutions and translate data into reliable outcomes. Remote options are available, with ownership across complex projects.

You will own end-to-end ML pipelines, from data preparation to deployment, and contribute to libraries, CI/CD, and Agile practices. Strong Python and traditional ML skills are essential.

Qualifications

• 5+ years in software, data science, or ML engineering.
• Advanced English required.
• Four-year college degree required.
• Strong traditional ML and statistical modeling focus.
• Hands-on production ML design, training, optimization.
• Experience with data exploration, preprocessing, feature engineering.
• Experience developing anomaly detection algorithms.
• Strong Python skills with ML libraries.
• Experience with financial or payroll datasets preferred.
• Proactive ownership and problem-solving.
• Ability to work on Agile/Scrum teams.

Responsibilities

• Translate client needs into robust ML solutions on production systems.
• Collaborate with client teams and product teams to deliver ML features.
• Design, train, and optimize ML models for production use.
• Develop and optimize anomaly detection on large datasets.
• Contribute to libraries, CI/CD, and scalable ML workflows.

Skills

Python

ML Engineering

Data Science

Agile/Scrum

Anomaly detection

Production ML

Financial data

Data preprocessing

Education

Bachelor's degree

Tools

Pandas

NumPy

scikit-learn

CI/CD

Job description

FullStack seeks a Senior Machine Learning Engineer to join our team. You will work with our clients—startups and Fortune 500s—to build production ML solutions and translate data into reliable outcomes. Remote options are available, with ownership across complex projects.

You will own end-to-end ML pipelines, from data preparation to deployment, and contribute to libraries, CI/CD, and Agile practices. Strong Python and traditional ML skills are essential.