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

Layer Health

Head of Finance

Boston, MA · On-site

$160K - $200K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... We're currently hiring a Head of Finance to be the senior financial mind inside the company ...

Layer Health

Head of Finance

Boston, MA · On-site

$160K - $200K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... We're currently hiring a Head of Finance to be the senior financial mind inside the company ...

Define Ventures

Head of Finance

Boston, MA · On-site

$160 - $200/hr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... We're currently hiring a Head of Finance to be the senior financial mind inside the company ...

New

Manulife Financial

Data Scientist - Hybrid

Boston, MA · On-site

$90 - $167/hr

... financial decisions and improve their overall experience. Build with Modern Technologies Work with LLMs, GenAI frameworks, cloud‑native machine learning platforms, MLOps, and advanced AI ...

New

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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 Sep 3, 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?

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 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.

What are the key skills and qualifications needed to thrive in machine learning finance, 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 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
Infographic showing various Machine Learning Finance job openings in Boston, MA as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $100,630 per year, or $48.4 per hour.

Senior Machine Learning Engineer - Boston - Rag/Ai/LLM

Motion Recruitment

Boston, MA • Hybrid

$113K - $156K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 hours ago

Job description

Job Description

A global provider of data-driven technology solutions is seeking a Senior Machine Learning Engineer to join its Boston-area team in a hybrid capacity. This engineer will guide the design of scalable artificial intelligence platforms and advanced agent-based systems used across a broad suite of enterprise products.

The position centers on developing modern AI capabilities for a complex professional-information environment. Key initiatives include intelligent research tools, retrieval-augmented generation systems, large language model applications, and production-ready autonomous workflows. You will also help set architectural direction, define engineering best practices, and improve the reliability and security of the broader AI ecosystem.

Core Qualifications

Deep knowledge of machine learning systems and autonomous agent design

Hands-on experience creating LLM applications and retrieval-augmented generation solutions

Practical experience working with vector search technologies and vector data stores

Familiarity with production ML operations, monitoring, and deployment practices

Strong Python development skills

Working knowledge of AWS infrastructure and Kubernetes environments

Preferred Background

Experience delivering software for legal technology, compliance, financial services, or another regulated domain

At least 12 years of software engineering experience, or 8 or more years combined with a PhD

Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline

Key Responsibilities

Day-to-Day Work

This is a highly hands-on engineering position

Create, productionize, and maintain sophisticated AI and ML capabilities for enterprise research applications

Architect and enhance distributed machine learning services and scalable platform components

Build agentic applications, semantic retrieval pipelines, and supporting orchestration frameworks

Partner with software, platform, and security teams to deliver dependable, secure, and high-performing AI systems

Compensation

Eligible for a performance-based bonus

Benefits include

Comprehensive medical coverage

Dental insurance

Vision insurance

Paid vacation and personal time

401(k) retirement plan with employer match, where offered

This position follows a hybrid schedule in Boston, Massachusetts.
Candidates must be authorized to work full-time in the United States both now and in the future.

Apply