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Manager Machine Learning Finance Jobs (NOW HIRING)

Twilio

Senior Manager, Machine Learning

Manage and Mentor a team of talented Machine Learning and Data Engineers with various levels of experience and positively influencing their careers. * Partner with Product Managers and Architects to ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

Cccis

Senior Manager - Machine Learning

Chicago, IL · On-site

The Role We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation ... Experience in subrogation, claims processing, insurance or financial technology * Experience in ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...

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Manager Machine Learning Finance information

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$42K

$124.3K

$169K

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

As of Jun 18, 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.

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.

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.
More about Manager Machine Learning Finance jobs
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:
What job categories do people searching Manager Machine Learning Finance jobs look for? The top searched job categories for Manager Machine Learning Finance jobs are:
Manager Machine Learning Finance jobs near you
Infographic showing various Manager Machine Learning Finance job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $124,326 per year, or $59.8 per hour.

Engineering Manager, Machine Learning

Sentry

San Francisco, CA • On-site

$220K - $280K/yr

Full-time

Medical, PTO

Posted 13 hours ago

Job description

About Sentry
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today's application monitoring standard and our team is building its AI-native future.
About the role
AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations - the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix.
We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day.
In this role you will
  • Set technical direction across the team's full ML surface area - from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems - and make sharp calls about which approach fits each problem
  • Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability
  • Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems
  • Define team roadmap and deliverables, scope work, allocate resources, and keep execution on track against ambitious goals
  • Partner with product managers, designers, and engineering leaders across Sentry to identify the highest-impact opportunities for ML in our products
  • Foster career growth for the engineers on your team, and recruit exceptional ML talent as the team scales
You'll love this role if you
  • Have a strong ML engineering background that you use to inform and validate the team's technical decisions, and you're comfortable staying close to the code
  • Are excited to shape how AI and developer tools come together, and want to define how engineers and coding agents collaborate to find and fix problems
  • Are driven by impact and want to lead a team working on high-stakes, high-visibility projects
  • Love building things from the ground up - the ML team is still in its early chapters, and there's plenty of greenfield to shape
  • Thrive in cross-functional environments and enjoy collaborating across product, design, and engineering to ship great work
  • Care deeply about growing the engineers around you and finding opportunities for them to do the best work of their careers
Qualifications
  • 8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production
  • 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams
  • Familiarity with deploying and operating ML models at scale, including evaluation, monitoring, and iteration in production
  • Strong judgment in ambiguous, fast-moving environments
  • Excellent written and verbal communication; comfortable working across product, research, and engineering
  • A research background in machine learning, statistics, or a related field (MS, PhD, or equivalent research experience) is a plus but not a requirement

Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $220,000 to $280,000. A successful candidate's actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate's work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry's employee benefit plans/programs applicable to the candidate's position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company's benefit plans/programs.
Equal Opportunity at Sentry
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.

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