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Manager Remote Machine Learning Engineer Jobs (NOW HIRING)

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine ... Implement CI/CD pipelines for ML model deployment and lifecycle management. Required Skills: * 5+ ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine ... Implement CI/CD pipelines for ML model deployment and lifecycle management. Required Skills: * 5+ ...

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. This initiative focuses on recording how an AI reasons and ...

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... Manage and deploy cloud-based ML services across major cloud computing environments, including AWS ...

This is a fully remote position, allowing you to work from home or location of record within the U ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Employee divides their time between in-office and remote work. Access to an office location is ...

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Employee divides their time between in-office and remote work. Access to an office location is ...

The Role We are looking for a Machine Learning Engineer to join our Artificial Intelligence and ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise ... Remote * Commitment : 10-40 hours/week What You'll Do * Construct precise, well-structured ...

... management and artificial intelligence platform for maritime domain awareness. Spear AI is a ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Comfortable setting up and managing distributed computing environments * Experience in designing ...

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and ...

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

As of Jun 18, 2026, the average yearly pay for manager remote machine learning engineer in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
More about Manager Remote Machine Learning Engineer jobs
What cities are hiring for Manager Remote Machine Learning Engineer jobs? Cities with the most Manager Remote Machine Learning Engineer job openings:
What are the most commonly searched types of Remote Machine Learning Engineer jobs? The most popular types of Remote Machine Learning Engineer jobs are:
What states have the most Manager Remote Machine Learning Engineer jobs? States with the most job openings for Manager Remote Machine Learning Engineer jobs include:
Infographic showing various Manager Remote Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

Posted 23 days ago


Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.