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Manager Machine Learning Finance Jobs (NOW HIRING)

Upstart

Senior Manager, Machine Learning

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 ...

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 ...

Upstart

Senior Manager, Machine Learning

OR · Remote

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 ...

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 ...

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 ...

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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 Jul 8, 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.
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What cities are hiring for Manager Machine Learning Finance jobs? Cities with the most Manager Machine Learning Finance job openings:
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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.
Manager, Machine Learning Engineering

Manager, Machine Learning Engineering

Warnerbros

New York, NY

Full-time

Medical, Life, Retirement, PTO

Posted 12 days ago

Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

At HBO Max, storytelling takes center stage. We're one of the world's most iconic entertainment brands - home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what's next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.

HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally- and we're just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career- we're hiring!

Manager, Machine Learning Engineering - Video AI & Studio AI

Job Description

What We Do

We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content.

We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows.

What You'll Do

  • Lead a team of machine learning engineers working on video AI across understanding and creative applications
  • Stay hands-on, contributing directly to modeling, prototyping, and production systems
  • Drive execution across the full ML lifecycle: problem definition, modeling, evaluation, and deployment
  • Partner with product, creative, and engineering teams to define priorities and deliver impactful ML-powered features
  • Build and scale production-grade ML systems for video understanding and creative workflows
  • Balance rapid iteration with building robust, scalable systems
  • Provide technical leadership and mentorship, raising the bar for ML and engineering practices
  • Collaborate with platform and infrastructure teams to ensure reliable and scalable solutions

Qualifications & Experience

  • 8+ years of experience in machine learning / software engineering, with a focus on computer vision, video understanding, and gen AI
  • 2+ years of experience leading or mentoring engineers, with a strong preference for hands-on leadership
  • Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Proven track record of building and deploying end-to-end ML systems in production
  • Strong background in computer vision, video understanding, or multimodal systems
  • Experience with large-scale datasets and distributed systems
  • Experience with generative AI techniques (e.g., diffusion, image/video generation)
  • Strong system design and architecture skills
  • Ability to operate in ambiguous, fast-moving environments while maintaining execution focus
  • Strong collaboration and communication skills across technical, product, and creative teams

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $187,670.00 - $348,530.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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