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Remote Senior Machine Learning Engineer Jobs in Chicopee, MA

RSA LLC

Field Service Engineer 2

Springfield, MA · Remote

$110K - $120K/yr

Fix machine issue * Confirm issue resolution with the client This role is designed for Engineers ... Provide phone support/remote assistance to customers and to Field Service Engineers as required to ...

ABB

Strategic Segment Proposal Engineer

Bloomfield, CT · Remote

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... Experience working with global and local cross functional teams and interacting with senior ...

Varsity Tutors

Civil Engineering Tutor

Northampton, MA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... senior capstone design. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Statics and Dynamics Tutor

Northampton, MA · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics Tutor

Northampton, MA · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

ABB

Sales Specialist Auto

Brimfield, MA · On-site +1

University degree and training in Engineering or similar. * 5 years of experience in Sales, working ... Learning & Training : Take advantage of a wide range of learning opportunities grow, upskill, and ...

HP Hood

Technical Sanitation Specialist

Springfield, MA · Remote

$75K - $93K/yr

This position will work closely with the Sr. Manager, Strategic Sanitation Programs to establish ... Incorporate visual learning and step-by-step processes which are easily followed and comprehended ...

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Chicopee, MA

Remote Senior Machine Learning Engineer information

See Chicopee, MA salary details

$75.9K

$144K

$193K

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

As of Jul 16, 2026, the average yearly pay for remote senior machine learning engineer in Chicopee, MA is $144,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,100.00 and $162,300.00 per year, depending on experience, location, and employer.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a Remote Senior Machine Learning Engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What cities near Chicopee, MA are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Chicopee, MA with the most Remote Senior Machine Learning Engineer job openings:
Remote Senior Machine Learning Engineer jobs near you
Software Engineering Senior Manager - Hybrid

Software Engineering Senior Manager - Hybrid

Cigna

Bloomfield, CT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 236 frontline employees who took The Breakroom Quiz

27th of 886 rated healthcare providers

Job description

Help us lead what's next.

Are you energized by solving complex problems, improving reliability at scale, and leading teams that make a meaningful impact? As a Software Engineering Senior Manager, you will lead the technology platform that supports critical pharmacy fulfillment operations for Home Delivery, Accredo, and Express Scripts Specialty Distribution Services. This is an opportunity to modernize systems, strengthen operational excellence, and develop a high-performing team while helping deliver exceptional service to the people who depend on us every day.

Responsibilities

  • Lead the strategy, stability, security, and performance of the Safire application platform and related pharmacy technology solutions.

  • Drive operational excellence by improving platform resiliency, scalability, availability, and supportability.

  • Partner with Product Owners, engineers, and automation teams to prioritize work, improve service delivery, and accelerate modernization efforts.

  • Evaluate and champion innovative technologies, including cloud and AI-enabled solutions, to enhance business outcomes and operational efficiency.

  • Serve as a trusted advisor to business and IT leaders, aligning technology solutions with enterprise standards and strategic goals.

  • Lead production incident response, root cause analysis, and prevention strategies that reduce risk and improve customer experiences.

  • Build, coach, and develop a high-performing team of 8-15 professionals, fostering accountability, collaboration, continuous learning, and career growth.

  • Establish and monitor key performance indicators that measure platform health, service quality, and operational effectiveness.

  • Drive process improvement initiatives, change management practices, and production governance activities that strengthen delivery outcomes.

  • Create an environment where teams are empowered to solve problems, innovate, and continuously improve.

Required Qualifications

  • Minimum 8 years of experience in software engineering, application support, production systems, or related technology roles.

  • Minimum 3 years of experience leading technical, engineering, or application support teams.

  • Experience supporting complex enterprise applications in a production environment.

  • Knowledge of cloud platforms such as AWS or OpenShift.

  • Experience with Microsoft C#.NET, C++, Angular, Oracle, and Microsoft SQL Server.

  • Demonstrated success diagnosing, resolving, and preventing complex production issues.

  • Experience with incident management, root cause analysis, and operational problem solving.

  • Experience working within Agile delivery frameworks.

  • Strong communication and relationship-building skills with technical and non-technical stakeholders.

  • Ability to manage competing priorities and make sound decisions in fast-paced, high-impact situations.

Preferred Qualifications

  • Bachelor's degree.

  • Experience with AI technologies and automation solutions.

  • Experience supporting manufacturing, fulfillment, or pharmacy-related systems.

  • Experience with release management, change management, and production governance.

  • Growth mindset with a passion for continuous improvement, innovation, and team development.


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 138,100 - 230,100 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.


At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.


About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

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