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Senior Machine Learning Engineer Jobs in Woburn, MA

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our integrated discovery team. In this role, you will be the algorithmic engine of our programs, developing and ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Whoop

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site

$133K - $175K/yr

WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP's AI ... QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Woburn, MA

Senior Machine Learning Engineer information

See Woburn, MA salary details

$65.1K

$138.4K

$200.7K

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

As of Aug 20, 2026, the average yearly pay for senior machine learning engineer in Woburn, MA is $138,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $157,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Machine Learning Engineer jobs in Woburn, MA?

For Senior Machine Learning Engineer jobs in Woburn, MA, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Woburn, MA look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Woburn, MA are:

What cities near Woburn, MA are hiring for Senior Machine Learning Engineer jobs?

Cities near Woburn, MA with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Woburn, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,436 per year, or $66.6 per hour.

Machine Learning Engineer

HCL Global Systems Inc

Merrimack, NH • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
HCL Global Systems Inc is seeking a Machine Learning Engineer with hands-on experience in software development and cloud technologies. The role involves architecting large scale systems and applying research in machine learning models, particularly in natural language processing and MLOps.
Responsibilities:
• Demonstrated Hands On Experience with the following is required, as well as leading teams implementing:
• Software development and delivery cycle
• Architecting large scale systems
• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
• NodeJS or Python
• REST APIs
• An established track record performing applied research in one or more of the following areas:
• Building and evaluating Natural Language Processing related Machine Learning Models
• MLOps in automating Machine Learning Model services refreshing cycle
• Integrating Machine Learning Model services with existing runtime conversation handling system
Qualifications:
Required:
• Demonstrated Hands On Experience with the following is required, as well as leading teams implementing: Software development and delivery cycle
• Architecting large scale systems
• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
• NodeJS or Python
• REST APIs
• An established track record performing applied research in one or more of the following areas: Building and evaluating Natural Language Processing related Machine Learning Models
• MLOps in automating Machine Learning Model services refreshing cycle
• Integrating Machine Learning Model services with existing runtime conversation handling system
Company:
HCL Global Systems is a staffing and recruiting company providing consulting and business solutions. Founded in 2005, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
HCL Global Systems logo

About HCL Global Systems

Sourced by ZipRecruiter

HCL Global Systems is One of the Best IT Consulting Firm specialized in Application Development, Quality Testing, IT Courses Training, Staffing and Recruitment services. With wide range of experience, We are confident in our ability to help our Customers grow and improve their businesses. More than likely, regardless of the nature and scope of the problem, Our dedicated Team of Professionals can help you to achieve a cost effective business solution.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

2005

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