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Remote Machine Learning Jobs in Worcester, MA (NOW HIRING)

Hybrid or Remote based on location Position type: Full time - salary We're a team of employees ... and machine learning. * Reviews and evaluates all available information to assess the ...

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Remote Machine Learning information

See Worcester, MA salary details

$25.4K

$42.5K

$87.8K

How much do remote machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning in Worcester, MA is $42,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Worcester, MA? The most popular types of Machine Learning jobs in Worcester, MA are:
What are popular job titles related to Remote Machine Learning jobs in Worcester, MA? For Remote Machine Learning jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Worcester, MA look for? The top searched job categories for Remote Machine Learning jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Remote Machine Learning jobs? Cities near Worcester, MA with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Worcester, MA as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,491 per year, or $20.4 per hour.
Clinical Content- Physician (Clinical AI Strategist - UpToDate, M.D.)

Clinical Content- Physician (Clinical AI Strategist - UpToDate, M.D.)

Wolters Kluwer

Waltham, MA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Wolters Kluwer rating

8.9

Company rating: 8.9 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

34th of 209 rated software companies


Job description

LOCATION: U.S. locations - remote/hybrid (8 days a month in the office). Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment (within 50 miles of an office). Candidates not within commuting distances will be considered for remote employment. Please see eligible locations on the posting.

OVERVIEW

Wolters Kluwer, UpToDate and Lexidrug is seeking experienced clinicians to join our team as Clinical Artificial Intelligence (AI) Strategists. This role is central to advancing the clinical reasoning framework that underpins our next generation of trustworthy, clinically intelligent AI systems. You will work cross-functionally to evolve and operationalize this framework across AI architecture, system validation, and clinical workflows, ensuring outputs remain clinically sound and faithful to our trusted content.

You will help shape the future of clinical decision support by combining deep expertise in clinical reasoning with strong technical fluency and communication skills. Working across Clinical AI, Product, Engineering, Editorial, and Design, you will translate clinical thinking into scalable AI capabilities that meaningfully support patient care.

RESPONSIBILITIES

Clinical AI Strategy & Development (80%-100%)

  • Serve as the clinical lead on our clinical reasoning framework, guiding its continued advancement and application across AI initiatives.
  • Partner with Product, Engineering, Editorial, and AI teams to translate clinical reasoning into scalable AI system capabilities.
  • Define and maintain clinical indices, decision pathways, reasoning frameworks, and evaluation approaches that reflect real-world clinical decision making across specialties.
  • Contribute to clinical validation platform development, including development of clinical test sets, reasoning benchmarks, red teaming protocols, safety evaluations, and ongoing expert review to ensure outputs remain clinically faithful, useful, and meaningful.
  • Translate clinician and customer feedback into improvements in AI system behavior and the continued evolution of the clinical reasoning framework.
  • Serve as a clinical liaison between the Clinical AI team and traditional editorial operations, helping align clinical standards, workflows, and content strategy.
  • Communicate effectively across clinical, technical, and business teams, translating complex clinical concepts into practical system requirements and technical concepts into clinically meaningful guidance.
  • Represent Wolters Kluwer externally through white papers, conference presentations, and thought leadership.

Clinical Practice (optional - up to 20%)

Clinicians may allocate time to maintain active clinical practice, ensuring continued relevance and real-world insight; existing clinical stipend for physician editors will continue to apply.

QUALIFICATIONS

Education

  • MD, DO, PharmD, Advanced Practice Provider, or equivalent clinical degree: M.D. strongly preferred

Experience

  • Minimum 5 years of clinical practice, with demonstrated depth in patient care and breadth across domains such as hospital administration, patient safety, quality improvement, clinical research, medical education, clinical informatics, or publishing.
  • Demonstrated expertise in clinical reasoning as a discipline, including diagnostic reasoning, therapeutic decision making, uncertainty management, and evidence-based clinical decision making, as evidenced by teaching, publication, research, curriculum development, or related scholarly work.
  • Active clinical practice preferred; board certification preferred.
  • Valid medical license in at least one U.S. state preferred.
  • Strong understanding of modern AI technologies, including generative AI and large language models, with the ability to apply clinical expertise to AI development and evaluation. Experience with AI, informatics, machine learning, or digital health innovation is strongly preferred.
  • Excellent written, verbal, and technical communication skills, with the ability to translate clinical reasoning into system logic and communicate effectively with both clinical and technical audiences.
  • Experience working across agile, cross-functional environments, with the ability to build alignment and strong partnerships across clinical, engineering, product, and editorial teams.
  • Comfort with ambiguity and rapid iteration; ability to adapt quickly as AI technologies and organizational priorities evolve.
  • Strategic mindset with the ability to contribute to Clinical AI strategy and influence the evolution of clinical AI capabilities.
  • Leadership experience guiding complex initiatives or multidisciplinary teams is strongly preferred.
  • Experience supporting senior leaders through strategic analysis, written briefings, and cross-functional initiatives is preferred.

TRAVEL: Approximately one week every six weeks for team meetings and collaborative planning.

#LI-Remote

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$173,500.00 - $310,000.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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