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Senior Machine Learning Finance Jobs (NOW HIRING)

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Senior Machine Learning Engineer

Marina Del Rey, CA · On-site

$112K - $154K/yr

We are hiring a Senior Machine Learning Engineer focused in ML Operations to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes ...

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Senior Machine Learning Engineer

Rockville, MD · On-site

$106K - $146K/yr

Senior Machine Learning Engineer North Bethesda, MD Xometry powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life.

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

... your finances. And if it's career development you desire, we provide that, too! At Paylocity ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

... your finances. And if it's career development you desire, we provide that, too! At Paylocity ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration: Long Term Contract Clearance: DOD Top Secret Clearance (Must) As a consultant, will be working to ...

Senior Machine Learning Engineer

Manhattan, NY · Hybrid

$115K - $158K/yr

Senior Machine Learning Engineer Teleskope is redefining data security for the AI era with the only ... A beautiful, well-stocked office in NYC's Financial District. * Flexible vacation and work from ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ...

Senior Machine Learning Engineer

$125K - $165K/yr

... your finances. And if it's career development you desire, we provide that, too! At Paylocity ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

As a Senior Machine Learning Engineer, you will own the end to end ML lifecycle at Button, from the data and feature pipelines that feed models, through training and evaluation workflows, to ...

Senior Machine Learning Engineer

$125K - $165K/yr

... your finances. And if it's career development you desire, we provide that, too! At Paylocity ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ... Design, develop, and implement machine learning models for underwriting and other financial service ...

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Senior Machine Learning Finance information

See salary details

$52K

$127.6K

$176K

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

As of Jun 5, 2026, the average yearly pay for senior machine learning finance in the United States is $127,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Finance vs Quantitative Analyst?

AspectSenior Machine Learning FinanceQuantitative Analyst
Required CredentialsAdvanced degrees in CS, Data Science, or Finance; experience with ML frameworksDegrees in Finance, Economics, or Mathematics; strong statistical background
Work EnvironmentTech-driven finance teams, focus on ML model developmentTrading floors, investment firms, focus on quantitative modeling
Industry UsageFinancial institutions leveraging AI/ML for trading, risk, and asset managementAsset management, hedge funds, investment banks

While both roles involve quantitative skills, Senior Machine Learning Finance focuses on developing and deploying machine learning models within finance, whereas Quantitative Analysts primarily build statistical models for trading and risk assessment. The former emphasizes AI/ML expertise, while the latter centers on traditional quantitative methods.

What cities are hiring for Senior Machine Learning Finance jobs? Cities with the most Senior 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 Senior Machine Learning Finance jobs? States with the most job openings for Senior Machine Learning Finance jobs include:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Leidos

Vista, CA • On-site

$107K - $195K/yr

Full-time

Posted 21 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 425 rated business services


Job description

Leidos' Security Enterprise Solutions (SES) operation is seeking a motivated and talented Senior Machine Learning Engineer to join our multidisciplinary, highly energized, and expert data science team. Leidos is a leading innovator in deploying AI solutions, and we are dedicated to pushing the boundaries of technology and data-driven insights. Join our dynamic team and be part of shaping the future and make global impact in border security.

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of cargo and vehicles through ports and borders worldwide. The ideal candidate is a senior level individual contributor and subject matter expert, who excels at taking requirements defined by business needs and generating MLOPS solutions.

Key Responsibilities:

  • Develop, train, and evaluate machine learning models using modern MLOps practices and frameworks

  • Design and maintain reproducible training pipelines that support scalable and repeatable experimentation

  • Collaborate with cross-functional teams to integrate models into operational systems and workflows

  • Optimize model performance and reliability through continuous monitoring, testing, and iteration

Required Qualifications:

Data Science & Technical Foundation

  • MS or Ph.D. in Data Science, Engineering, Applied Science or a similar discipline and a minimum of 10 years of industry experience

  • Ability to support the full ML lifecycle, from data preparation and training to deployment and monitoring

  • Experience tracking experiments, model performance, and model versioning using a platform like MLflow to ensure transparency and auditability

  • Experience with data versioning frameworks like DVC, MLFlow Dataset, or LakeFs

  • Experience deploying and managing machine learning models in production environments using Docker or Kubernetes

  • Familiarity with modern data stacks e.g., cloud platforms, data warehouses, MLOps concepts

  • Ability to evaluate technical approaches and guide technical decision-making

  • Strong track record of delivery ownership and cross-functional collaboration

  • Ability to multitask across projects

  • Excellent communication skills, both written and verbal

  • Some travel is required in support of projects (< 25%)

  • Ability to obtain and maintain Public Trust access.

Desired / Nice-to-Have Qualifications:

  • Experience using Kubeflow or Airflow

  • Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net

  • Experience working with images from medical, security, or NDT devices

  • Experience defining data science standards and best practices

  • Experience in training machine learning models with synthetic data, that can achieve high detection during real-time inference

  • Experience working on Customs and Border Patrol contracts

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:May 14, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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