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Remote Machine Learning Engineer Jobs in Kingston, MA

Sr. Manager, AI Enablement

Lakeville, MA · On-site +1

$128K - $160K/yr

... remote. The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing ... Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and ...

Lead Water Resources Engineer

Marion, MA · Remote

$130K - $160K/yr

Consistently ranked by Engineering News Record in the top 150 firms, we offer a values-based, collaborative, and flexible work environment with professional growth opportunities. If you thrive ...

Senior Software Engineer

Mansfield, MA · On-site +1

$129K - $171K/yr

Our engineering teams build enterprise-grade, revenue-generating products at the intersection of ... to learning yours! eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We ...

... Programming Services knowledge preferred * Interest in PMP Certification Professional Skills ... to learning yours! eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We ...

Senior Sales Executive (West)

Rockland, MA · On-site +1

$78K - $118K/yr

Remote Compensation: $78,000 - $118,000 / year Description The Sr. Sales Executive is responsible ... Learning and Development * Pet Insurance * Fun On and Off-Site Events * Referral Bonus Program

Senior Sales Executive (East)

Rockland, MA · On-site +1

$78K - $118K/yr

Remote Compensation: $78,000 - $118,000 / year Description The Sr. Sales Executive is responsible ... Learning and Development * Pet Insurance * Fun On and Off-Site Events * Referral Bonus Program

Showing results 41-51

Remote Machine Learning Engineer information

See Kingston, MA salary details

$33K

$134.9K

$202.8K

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

As of Aug 18, 2026, the average yearly pay for remote machine learning engineer in Kingston, MA is $134,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $162,400.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What cities near Kingston, MA are hiring for Remote Machine Learning Engineer jobs?

Cities near Kingston, MA with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Kingston, MA as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $134,926 per year, or $64.9 per hour.

Sr. Manager, AI Enablement

Ocean Spray Cranberries

Lakeville, MA • On-site, Remote

$128K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Ocean Spray rating

9.0

Company rating: 9.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

14th of 439 rated food and drinks producers


Job description

Ocean Spray is hiring for a(n) Sr. Manager, AI Enablement! We're a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role - it always comes back to this: we're a farmer-owned co-op where everyone rolls up their sleeves to get the job done. Three maverick farmers started it all - and we've been making our own way ever since.

Position Location: We're all about flexibility! This will be a hybrid role based out of our corporate headquarters in Lakeville, MA or our Seaport Boston, MA location with Mondays and Fridays remote.

The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing evolution of Ocean Spray's enterprise AI strategy. As Ocean Spray is in the early stages of its AI journey, this role plays a critical part in driving initial awareness, adoption, and value, particularly through Microsoft Copilot, SAP and other AI tools. This role oversees the full AI portfolio, identifying and prioritizing highvalue use cases that deliver measurable business impact while building the foundational processes and capabilities the cooperative needs for long-term growth. Operating at the Leading Others level, this leader manages a small team of AI practitioners and works closely with IT, business functions, and external partners to design and deploy AI solutions that leverage enterprise applications, tools, and data. The role ensures all AI initiatives align with business goals, follow responsible AI practices, and support organizational transformation.

A Day in the Life...

AI Strategy & Portfolio Leadership

  • Develop and refine the enterprise AI strategy in alignment with cooperative business priorities.
  • Identify, assess, and prioritize highimpact AI opportunities across Commercial, Operations, Supply Chain, Finance, Corporate, and IT.
  • Build business cases that quantify expected outcomes, ROI, risks, and success metrics.
  • Lead execution of the AI portfolio to ensure delivery of measurable value.
  • Strengthen AI governance, security, and responsible AI practices.
  • Provide clear updates, portfolio reporting, and executive communications.

Technical Leadership & Delivery

  • Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and Cybersecurity teams to architect scalable AI solutions.
  • Contribute handson to solution design, prototyping, model evaluation, and prompt engineering.
  • Support implementation of MLOps and model lifecycle practices with platform teams.
  • Ensure operationalization, monitoring, and performance optimization of AI solutions.
  • Provide technical direction to data scientists, ML engineers, IT product owners, and other contributors.

CrossFunctional Collaboration & Adoption

  • Serve as a champion for AI awareness and adoption across the cooperative, especially focusing on embedding Microsoft Copilot, SAP, Workday and other approved tools into processes and workflows.
  • Support change management efforts to drive adoption of AI-enabled improvements.
  • Build strong partnerships with internal stakeholders and external vendors to introduce leading tools and methods.
  • Foster a collaborative, learning-oriented team environment.

What We Are Looking For:

Technical Skills

  • Strong understanding of AI/ML concepts (supervised/unsupervised learning, NLP, generative AI, optimization, predictive modeling).
  • Ability to prototype or evaluate AI models and prompts using tools such as Python and SQL.
  • Familiarity with enterprise AI platforms, cloud technologies, MLOps, and responsible AI frameworks.
  • Solid knowledge of data engineering fundamentals, data quality, and integration.
  • Experience with enterprise systems such as SAP S/4HANA, SAP IBP/SAC, Microsoft 365 Copilot, Maximo or SAP EAM/APM, Workday, and Azure services.

Strategic & Analytical Skills

  • Strong ability to evaluate business needs and size opportunities.
  • Skilled at translating complex technical concepts into business-friendly language.
  • Capable of managing complex initiatives while balancing short and longterm priorities.

Leadership & Collaboration

  • Proven ability to lead, coach, and develop AI talent.
  • Strong cross-functional influence and stakeholder management skills.
  • Sound decision-making and adaptability in dynamic environments.

Communication & Change Leadership

  • Excellent written and verbal communication skills for technical and executive audiences.
  • Able to articulate value, risks, progress, and recommendations clearly.
  • Experience supporting change management related to AI adoption.

Education:

Bachelor's or University Degree (Required)

Work Experience:

At least 7 Years of Experience

Annual Salary:

$128,000 - $160,000

The base salary range information above serves as a guideline of the position's typical hiring range. We value and appreciate what makes you unique and will consider a variety of factors when determining an offer. These factors include, but are not limited to, your skills and experience, external and internal benchmarks, as well as overall company considerations. Certain positions may be eligible for short-term and long-term incentive rewards. We also offer a competitive and comprehensive benefits program that supports all aspects of your health and well-being.

Benefits:

  • Complete insurance package on Day-1 that includes a plethora of health and wellness programs

    • Health, Dental and Vision insurance

    • Health savings account

    • Flexible spending account

    • Life and accident insurance

    • Employee assistance program

    • Telehealth services

    • 1:1 health coaching

    • Supportive benefits for all the stages of your life

  • 401(k) with up to 6% Company matching; additional potential discretionary match at year-end

  • Short-Term Incentive/Performance bonuses

  • Flexible scheduling options

  • Vacation pay, up to three weeks of time (pro-rated for your first year of employment)

  • Holiday pay for 12 holidays

  • Career development and growth opportunities

  • Tuition/Education assistance programs

  • Access to LinkedIn Learning

  • Scholarship programs for children of employees

  • Parental leave

  • Bright Horizons Family Solutions - Back-up care, tutoring, etc.

  • Adoption assistance

  • Bereavement leave

  • Up to $300 fitness reimbursement

  • Up to $300 massage reimbursement

  • Employee appreciation events

  • Employee discounts

  • Charitable giving

Who We Are:

You might have our iconic cranberry juice in your fridge or have gotten into heated holiday debate about what's better - canned or fresh cranberry sauce. But did you know that the hardworking people growing the superfruit in our products are 700 family farmers that own our cooperative? They entrust us with what is most precious to them to create new and innovative products that will delight consumers and grow this beloved brand today and into the future.
Team members, farmers, consumers and communities alike--we value what makes us unique and strive to connect our farms to families for a better life by living our values:

  • Grower Mindset - We embrace our grower-owners innovative spirit and heritage through confidence, learning and focus on the future.
  • Sustainable Results - Guided by purpose, we are focused on delivering results for our grower-owners.
  • Integrity Above All - We are ethical, doing the right thing for our grower-owners, customers, consumers and each other
  • Inclusive Teamwork - We build diverse and inclusive teams that strengthen our cooperative.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

For MA Applicants - It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Any employer who violates this law shall be subject to criminal penalties and civil liability.


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