ZipRecruiter

Log In

1

Manager Machine Learning Finance Jobs (NOW HIRING)

Upstart

Senior Manager, Machine Learning

OR · On-site +1

The Team Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager ... Familiarity with lending, lines of credit, or other consumer finance products. * Hands-on ...

Overstory

Engineering Manager, Machine Learning

Role & Team As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on ...

Vanguard

Manager, Machine Learning Engineer

Dallas, TX

$101K - $133K/yr

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and ... Financial Advisory Services (FAS) business objectives. Partners closely with Product, Data Science ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsManager Machine Learning Finance Jobs

Manager Machine Learning Finance information

See salary details

$42K

$124.3K

$169K

How much do manager machine learning finance jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager machine learning finance in the United States is $124,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $168,000.00 per year, depending on experience, location, and employer.

What does a manager of machine learning in finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

How does a manager of machine learning in finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.

What are the key skills and qualifications needed to thrive as a manager of machine learning in finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

Can manager machine learning finance be used in finance?

A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role involves skills in data science, programming, and finance, and is used to enhance decision-making processes and automate tasks within financial institutions.

What cities are hiring for Manager Machine Learning Finance jobs?

Cities with the most Manager Machine Learning Finance job openings:

What are the most commonly searched types of Machine Learning Finance jobs?

The most popular types of Machine Learning Finance jobs are:

What states have the most Manager Machine Learning Finance jobs?

States with the most job openings for Manager Machine Learning Finance jobs include:

Manager Machine Learning Finance jobs near you
Infographic showing various Manager Machine Learning Finance job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,326 per year, or $59.8 per hour.

Senior Manager, Machine Learning

Gridware

San Francisco, CA • On-site

$245K - $295K/yr

Full-time

Medical, Dental, Vision

Re-posted 12 days ago

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description

As a Senior ML Manager, you will serve as a player coach role for Gridware's cloud-based modeling team. You will help grow the existing team, improve algorithmic development frameworks, focus on strategic initiatives and direction for how we approach cloud sensor modeling, and establish best practices for a high throughput ML team.

Responsibilities

  • 70% team management and strategy, 30% IC time

  • Grow a high-performing team through hiring, coaching, performance management, and career development

  • Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML systems

  • Own technical roadmap and execution for the cloud ML organization, balancing near-term product delivery with long-term technical investments

  • Lead technical design of algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems

  • Define data strategy and labeling requirements, including real-world data collection and synthetic data generation approaches

  • Explore and evaluate novel modeling approaches and research ideas to address existing and emerging automation challenges

Required Skills

  • 3+ years of direct management experience

  • 8+ years of experience building and deploying machine learning models in production environments

  • Experience with both deep learning and classical machine/statistical learning techniques

  • Strong programming skills with demonstrated proficiency in Python

  • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows

Bonus Skills

  • Experience working with signal processing or sensor-derived data

  • Experience at a growth-stage start-up

  • Familiarity with human-in-the-loop or human-on-the-loop ML systems

$245,000 - $295,000 a year
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
 
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
 
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
"Off the Grid", a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training 
apply for this job

Apply