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Remote Senior Machine Learning Engineer Jobs (NOW HIRING)

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer will be responsible for the independent development and deployment of scalable machine learning models, bridging the gap between ...

Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force ...

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

POSITION SUMMARY The Senior Machine Learning Engineer is responsible for designing, building, and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Senior Machine Learning Engineer (Nova)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... remote-first engineering teams. Company : Iterable is an AI-powered communication platform that ...

Senior Machine Learning Engineer (Nova)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... remote-first engineering teams. Company : Iterable is an AI-powered communication platform that ...

Senior Machine Learning Engineer (Nova)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... remote-first engineering teams. Company : Iterable is an AI-powered communication platform that ...

Senior Machine Learning Engineer (Nova)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... remote-first engineering teams. Company : Iterable is an AI-powered communication platform that ...

Senior Machine Learning Engineer (Nova)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... remote-first engineering teams. Company : Iterable is an AI-powered communication platform that ...

... a Remote position. "Remote" employees do not have a permanent corporate office workplace and ... Who you are As a Senior Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role ...

Senior Machine Learning Engineer

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to enhance their machine learning capabilities, develop predictive models, and lead the exploration of new AI technologies within their platform.

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will partner with research staff to advance quantitative trading strategies by translating research ideas into production-quality code and maintaining data ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ... Opportunities to conduct mission-critical field work This position offers a fully remote work ...

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... Employee divides their time between in-office and remote work. Access to an office location is ...

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Remote Senior Machine Learning Engineer information

See salary details

$75.5K

$143.3K

$192K

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

As of Jun 14, 2026, the average yearly pay for remote senior machine learning engineer in the United States is $143,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,500.00 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 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.
More about Remote Senior Machine Learning Engineer jobs
What cities are hiring for Remote Senior Machine Learning Engineer jobs? Cities with the most Remote Senior Machine Learning Engineer job openings:
What are the most commonly searched types of Senior Machine Learning Engineer jobs? The most popular types of Senior Machine Learning Engineer jobs are:
What states have the most Remote Senior Machine Learning Engineer jobs? States with the most job openings for Remote Senior Machine Learning Engineer jobs include:
Infographic showing various Remote Senior Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 59% Full Time, 38% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $143,292 per year, or $68.9 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Monogram Health

Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Position: Senior Machine Learning Engineer
The Senior Machine Learning Engineer will be responsible for the independent development and deployment of scalable machine learning models, bridging the gap between research and production, and providing technical mentorship to Machine Learning (ML) Engineers and data teams. This work will contribute to the advancement of Monogram's data science initiatives. These models will be developed using open-source tools and libraries and may be operationalized as batch or real-time model inference endpoints. The models will utilize a variety of data sources, including healthcare claims, operational data from care management platforms, and EHRs. This position will report to the VP, Data Science.
Responsibilities
  • Own and implement end-to-end ML workflows, including model versioning, testing, containerization, automated deployment pipelines (CI/CD), and post-deployment monitoring for performance and data drift.
  • Independently develop and deploy scalable, robust machine learning models to support Monogram's operational and clinical objectives.
  • Conduct data analyses of large datasets to provide insights that aid strategic planning, risk assessments, and resource allocation.
  • Identify and bridge research and production gaps related to model outputs or explore alternative use cases for existing models to enhance reporting and decision-making processes.
  • Partner with program owners and data scientists to understand program goals, key performance indicators, and operational details to build and ensure that machine learning models are effectively aligned with program intentions.
  • Create and present machine learning solution proposals to program owners, aiming to secure buy-in and facilitate the implementation of data-driven solutions.
  • Identify, promote, and adhere to best practices in software development, data engineering, and machine learning to ensure high-quality and maintainable code.
  • Remain current with the latest advancements in machine learning and data science, applying new techniques and methodologies to improve model performance and reliability.
  • Continuously evaluate efficiency. accuracy, maintain and update deployed models, troubleshooting any issues that arise during deployment.

Position Requirements
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Master's degree preferred
  • Minimum of five (5) years of experience in ML Ops or DevOps.
  • Experience scaling AI products and machine learning models
  • Use of Python for machine learning model development and deployment, and using SQL, Databricks & PySpark to extract and manipulate data for data engineering tasks.
  • Experience with ML Ops tools and practices (e.g., MLflow, GitHub Actions, Docker, model registries, Azure ML).
  • Proficiency presenting technical concepts and models to business and executive stakeholders effectively.
  • Proficient in developing code and analyses following good software development practices.
  • Proficiency in packaging and deploying models in production environments, ideally using Azure cloud services.
  • Enhanced understanding of model monitoring, data drift detection, and model retraining strategies.
  • Experience with version control systems (GIT), CI/CD pipelines, and test-driven development.
  • Familiarity with cloud computing platforms, preferably Azure, for deploying and managing data science solutions.
  • Evidence of advanced problem-solving abilities and a proactive approach to identifying and addressing business challenges through data-driven solutions.
  • Demonstrated teamwork and collaboration skills, with the ability to work effectively in cross-functional teams.

Benefits
  • Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
  • Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources
  • Time Off & Leave - Paid holidays, flexible vacation time/PSSL, and paid parental leave
  • Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts

About Monogram Health
Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.
Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home.
Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.