ZipRecruiter

Log In

1

Machine Learning Finance Jobs in Boston, MA (NOW HIRING)

IMC Inc

Machine Learning Engineer

Dorchester, MA · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon ...

Autodesk

Machine Learning Engineering Manager

Boston, MA

$148.50K - $266.20K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... Join us! Benefits From health and financial benefits to time away and everyday wellness, we give ...

Autodesk

Machine Learning Engineering Manager

Boston, MA · On-site

$148.50K - $266.20K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... Join us! Benefits From health and financial benefits to time away and everyday wellness, we give ...

CVS Health

Senior Machine Learning Engineer

Wellesley, MA · On-site

$111.24K - $222.48K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... financial well-being of colleagues and their families. The benefits for this position include ...

CVS Health

Senior Machine Learning Engineer

Wellesley, MA

$111.24K - $222.48K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... financial wellbeing of colleagues and their families. The benefits for this position include ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Boston, MA

Machine Learning Finance information

See Boston, MA salary details

$27.2K

$100.6K

$147.2K

How much do machine learning finance jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning finance in Boston, MA is $100,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $118,400.00 per year, depending on experience, location, and employer.

What is a Machine Learning Finance job?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are the key skills and qualifications needed to thrive in the Machine Learning Finance position, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are some typical challenges faced by professionals in Machine Learning Finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.
More about Machine Learning Finance jobs
What are the most commonly searched types of Machine Learning Finance jobs in Boston, MA? The most popular types of Machine Learning Finance jobs in Boston, MA are:
What are popular job titles related to Machine Learning Finance jobs in Boston, MA? For Machine Learning Finance jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Boston, MA look for? The top searched job categories for Machine Learning Finance jobs in Boston, MA are:
What cities near Boston, MA are hiring for Machine Learning Finance jobs? Cities near Boston, MA with the most Machine Learning Finance job openings:
Machine Learning Finance jobs near you
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners

Boston, MA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
Focus Financial Partners is a leading financial services firm that blends deep expertise with a client-first fiduciary philosophy. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with cross-functional teams to create scalable applications.
Responsibilities:
• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML).
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Apply