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Machine Learning Engineer Python Jobs in Chelmsford, MA

XPO

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Proficiency in Python and SQL * Experience with cloud data or ML platforms (e.g., AWS, GCP ... and access About the Machine Learning Engineer job Pay, benefits and more: * Competitive ...

STR

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy ... Solid understanding of software engineering principles, including testing, scalability ...

C the Signs

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 ... Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ...

C the Signs

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 ... Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ...

C the Signs

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 ... Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas ...

STR

Machine Learning Engineer

Woburn, MA

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy ... Solid understanding of software engineering principles, including testing, scalability ...

STR

Machine Learning Engineer

Boston, MA

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy ... Solid understanding of software engineering principles, including testing, scalability ...

STR

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy ... Solid understanding of software engineering principles, including testing, scalability ...

Onescreen

Founding Machine Learning Engineer

Boston, MA · On-site

They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms ... Python (NumPy, Pandas, FastAPI, SQLAlchemy) • Strong SQL and modern data warehouse experience ...

Modulate

Senior Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Strong experience with Python and PyTorch * Experience designing experiments and evaluating model ...

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Showing results 21-40

All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Chelmsford, MA

Machine Learning Engineer Python information

See Chelmsford, MA salary details

$23.9K

$145.4K

$210.4K

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

As of Sep 15, 2026, the average yearly pay for machine learning engineer python in Chelmsford, MA is $145,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $170,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Chelmsford, MA?

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

What cities near Chelmsford, MA are hiring for Machine Learning Engineer Python jobs?

Cities near Chelmsford, MA with the most Machine Learning Engineer Python job openings:

Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Chelmsford, MA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,432 per year, or $69.9 per hour.

Machine Learning Engineer - Hybrid

Boston, MA • On-site

XPO Logistics
Import-Export • 10K+ employees
Learn more about XPO Logisticsexternal

$100K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago

XPO rating

6.9

Company rating: 6.9 out of 10

Based on 228 frontline employees who took The Breakroom Quiz

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.

What XPO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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