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Artificial Intelligence Machine Learning Engineer Jobs in Leominster, MA

AI Engineer II

Milford, MA · On-site

$106K - $146K/yr

Master's degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field, or equivalent practical experience. Plus 2+ years of relevant ...

AI Engineer II

Milford, MA · On-site

$106K - $146K/yr

Master's degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field, or equivalent practical experience. Plus 2+ years of relevant ...

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements: Interest in artificial intelligence, image ...

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements Interest in artificial intelligence, image ...

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements Interest in artificial intelligence, image ...

AI/ML Development Senior Engineer

Lowell, MA · On-site

$104K - $142K/yr

... Artificial Intelligence, Machine Learning, Data Science, or a related technical field. • 5-10 ... • Expert programming skills in Python and AI/ML frameworks (Pandas, PyTorch, TensorFlow ...

AI Engineer II

Milford, MA

$106K - $146K/yr

Master's degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field, or equivalent practical experience. Plus 2+ years of relevant ...

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Artificial Intelligence Machine Learning Engineer information

See Leominster, MA salary details

$32.6K

$133.1K

$200K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for artificial intelligence machine learning engineer in Leominster, MA is $133,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $160,200.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What cities near Leominster, MA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Leominster, MA with the most Artificial Intelligence Machine Learning Engineer job openings:

Senior Machine Learning Engineer - Worcester - LLM/Ai/Rag

Worcester, MA • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees

$104K - $143K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

About the Opportunity
A global provider of digital research and decision-support products is adding a Machine Learning Engineer to its Worcester, Massachusetts team. This hybrid position will focus on converting emerging AI capabilities into secure, scalable features used within complex professional software platforms.
The engineer will work across the applied AI stack, from model experimentation and retrieval design through production integration. Key areas include generative AI, large language model applications, intelligent search, and agent-based systems that help users navigate and interpret high-value information.
Core Requirements
Proven success delivering machine learning or artificial intelligence systems in production environments
Practical experience designing applications that use LLMs, AI agents, and tool-driven workflows
Knowledge of RAG patterns, embedding models, vector stores, and relevance-focused retrieval techniques
Familiarity with operational ML practices such as testing, deployment automation, observability, and model governance
Strong Python development skills and sound software engineering fundamentals
Experience building cloud-native solutions with AWS and container orchestration platforms such as Kubernetes
Preferred Background
Exposure to legal technology, enterprise search, publishing, compliance, or another information-dense product domain
At least 12 years of software development experience, or 8+ years of development experience together with a PhD
Bachelor's degree or higher in computer science, machine learning, engineering, or a closely related field
Your Impact
Key Responsibilities
Serve as a hands-on engineer responsible for design, implementation, testing, and delivery
Build AI-powered capabilities that support research, summarization, discovery, and knowledge-based decision making
Architect distributed machine learning services that can perform reliably across a large enterprise product ecosystem
Develop and connect retrieval pipelines, model services, agent frameworks, and supporting APIs
Partner with application, platform, data, and security teams to ensure solutions meet requirements for performance, resilience, privacy, and scale
Compensation and Benefits
Eligible for a performance-based bonus program
Employees receive access to:
Comprehensive medical insurance
Dental insurance
Vision insurance
Paid time off and company leave programs
401(k) retirement plan, including an employer match where applicable
This position follows a hybrid schedule based in Worcester, Massachusetts.
Candidates must be authorized to work full-time in the United States both now and in the future.