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Fraud Detection Machine Learning Jobs in Brookline, MA

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications ... Experience implementing model monitoring, drift detection, and feedback-loop tooling * Experience ...

Data Scientist - Hybrid

Boston, MA · On-site

$90 - $167/hr

... marketing, strengthen fraud detection, and modernize operations. As a Data Scientist, AI ... Build and operationalize machine learning and large language model (LLM) solutions from concept ...

... marketing, strengthen fraud detection, and modernize operations. As a Data Scientist, AI ... Build and operationalize machine learning and large language model (LLM) solutions from concept ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... This includes handling missing values, outlier detection, feature engineering, and data ...

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... This includes handling missing values, outlier detection, feature engineering, and data ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... This includes handling missing values, outlier detection, feature engineering, and data ...

Machine Learning Intern

Boston, MA · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

A key area of focus includes AI-powered fraud detection and financial crime prevention. Working at ... Provide thought leadership on Generative AI, Agentic AI, and machine learning technologies. * Drive ...

Showing results 21-40

Fraud Detection Machine Learning information

See Brookline, MA salary details

$11

$19

$29

How much do fraud detection machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for fraud detection machine learning in Brookline, MA is $19.53, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.82 per hour, depending on experience, location, and employer.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are popular job titles related to Fraud Detection Machine Learning jobs in Brookline, MA?

For Fraud Detection Machine Learning jobs in Brookline, MA, the most frequently searched job titles are:

What cities near Brookline, MA are hiring for Fraud Detection Machine Learning jobs?

Cities near Brookline, MA with the most Fraud Detection Machine Learning job openings:

Infographic showing various Fraud Detection Machine Learning job openings in Brookline, MA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,624 per year, or $19.5 per hour.

Machine Learning Engineer - Hybrid

XPO Logistics

Boston, MA

$100K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


XPO rating

6.9

Company rating: 6.9 out of 10

Based on 226 frontline employees who took The Breakroom Quiz

233rd of 366 rated logistics


Job description

What you'll need to succeed as a Machine Learning Engineer at XPO

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience
  • 1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling
  • Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines
  • Proficiency in Python and SQL
  • Experience with cloud data or ML platforms (e.g., AWS, GCP, BigQuery)
  • Strong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams

Preferred qualifications:

  • Master's degree in Computer Science or related field
  • 3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale
  • Experience building and maintaining CI/CD pipelines for machine learning models
  • Experience with model serving and inference infrastructure (batch and real-time)
  • Experience implementing model monitoring, drift detection, and feedback-loop tooling
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Experience partnering with data engineering teams on data pipeline reliability and access

 

About the Machine Learning Engineer job

Pay, benefits and more:

  • Competitive compensation package 
  • Full health insurance benefits available on day one 
  • Life and disability insurance 
  • Earn up to 15 days of PTO over your first year  
  • 9 paid company holidays 
  • 401(k) option with company match 
  • Education assistance 
  • Opportunity to participate in a company incentive plan

What you'll do on a typical day:

  • Build and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models
  • Design and implement ML infrastructure for model training, evaluation, and deployment
  • Build and maintain CI/CD pipelines for machine learning models, including automated testing and validation
  • Implement model monitoring, drift detection, and feedback loops to track model performance in production
  • Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
  • Collaborate with data engineering teams to ensure reliable, accessible data pipelines
  • Contribute to shared MLOps tooling and best practices across the AI/ML organization

Annual Salary Range: $100,000 to $120,000 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. 

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. 

Review XPO's candidate privacy statement here.


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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US