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Remote Machine Learning Engineer Jobs (NOW HIRING)

Machine Learning Engineer

Colorado Springs, CO ยท On-site +1

$100K - $160K/yr

We are pleased to announce an opening for a Machine Learning Engineer who will join our team in ... Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ...

Remote - United States Employment type: Contract (6-12+ months) Indicative rate: $85-$115/hr Role Summary We are seeking an AI / machine learning engineer to develop and deploy ML and GenAI ...

The Machine Learning Engineer will design scalable ML solutions to enhance patient outcomes and optimize pharmacy operations, collaborating with various teams to translate clinical requirements into ...

Machine Learning Engineer

New York, NY ยท On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Machine Learning Engineer

New York, NY ยท On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

... developer, you will be responsible for feature development to deliver AI and machine learning ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

... developer, you will be responsible for feature development to deliver AI and machine learning ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Machine Learning Engineer

Manhattan, NY ยท On-site +1

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... for a remote-first role -- this one is 4 days/week in our NYC office. Compensation The expected ...

They are seeking a Machine Learning Engineer to join their Personalization team, focusing on enhancing user satisfaction through advanced recommendation systems and collaboration with cross ...

About the Role We're looking for a Machine Learning Engineer to join our Insurance AI team. You'll ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

Principal Machine Learning Engineer

Denver, CO ยท On-site +1

$228K - $253K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... machine learning initiatives. * Mentor ML Engineers and Data Scientists, fostering a culture of ...

$228K - $253K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... machine learning initiatives. * Mentor ML Engineers and Data Scientists, fostering a culture of ...

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent Full Time About the Role : In this role, you will take the lead in developing and fine-tuning ...

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing ... Calendly uses the zip code of an employee's remote work location, or the onsite building location ...

Machine Learning Engineer

OR ยท Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires ...

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Remote Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jun 11, 2026, the average yearly pay for remote machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

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

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 is a Remote Machine Learning Engineer job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
More about Remote Machine Learning Engineer jobs
What cities are hiring for Remote Machine Learning Engineer jobs? Cities with the most Remote Machine Learning Engineer job openings:
What are the most commonly searched types of Machine Learning Engineer jobs? The most popular types of Machine Learning Engineer jobs are:
What states have the most Remote Machine Learning Engineer jobs? States with the most job openings for Remote Machine Learning Engineer jobs include:
Machine Learning Engineer

Machine Learning Engineer

nou Systems

Colorado Springs, CO โ€ข On-site, Remote

$100K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

FT-SAL-EXREG

Colorado Springs CO, Colorado Springs, CO, US

Salary Range: $100,000.00 To $160,000.00 Annually

nou Systems, Inc. (nSI) is a 100% ESOP company solving challenging defense problems in an enjoyable, stimulating environment. We support mission areas including missile defense, battle management, cybersecurity, test range modernization, biotechnology, and space control.

We are pleased to announce an opening for a Machine Learning Engineer who will join our team in Colorado Springs, Colorado. You will help design, develop, and deploy machine learning capabilities across research, prototype, and operationally relevant defense applications.

We are looking for a mid-level engineer with strong fundamentals in machine learning, backend software development, and data science. The ideal candidate can collaborate with teammates to move ML capabilities from concept toward usable systems.

Responsibilities

  • Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.

  • Build backend software components that support ML workflows, data processing, model evaluation, and system integration.

  • Help identify, prepare, and validate training and evaluation datasets.

  • Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.

  • Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.

  • Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.

  • Communicate technical results clearly through written documentation, presentations, and team discussions.

  • Support multiple project teams and help translate ML concepts into practical engineering solutions.

Basic Qualifications

  • Bachelorโ€™s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.

  • 3+ years of professional experience in machine learning, data science, or backend software development.

  • Hands-on experience developing, training, or evaluating deep learning models using PyTorch.

  • Professional experience building backend software, data pipelines, APIs, or system integration components.

  • U.S. citizenship and the ability to obtain a Secret security clearance.

Preferred Qualifications

  • Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.

  • Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)

  • Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.

  • Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.

  • Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)

  • Experience with RL development using Gymnasium and Ray RLlib.

  • Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.

  • Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.

Position Details

  • This is an in-office role requiring presence at least 4 days per week.

  • Annual Salary Range: $100,000 - $160,000

nou (pronounced โ€˜newโ€™) Systems:

Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions.

We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family.

Benefits of working at nSI

nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following:

  • Competitive Wages*

  • Medical, Rx, Dental & Vision Insurance

  • Medical plan with Health Savings Account eligibility

  • Generous company-funded Basic Life Insurance

  • Company-funded Short-Term & Long-Term Disability

  • Optional Accident and Critical Illness Insurance

  • Personal Time Off, Annual Leave, and Paid Federal Holidays

  • 401(k) Retirement Plan

  • Employee Stock Ownership Plan (ESOP)

  • Tuition Reimbursement for ongoing training, continuing education, or advanced degree programs

  • Personal Development, Learning Opportunities, & Lunch-n-Learns

  • Opportunities for Advancement

  • Skills Development & Certifications

  • Employee Referral Bonus Program

  • Corporate Sponsored Events & Community Outreach

*Final compensation for this position is determined by a variety of factors, such as a candidateโ€™s relevant work experience, skills, certifications, and geographic location.

nSI is an Equal Opportunity Employer

Employment opportunities at nSI are based upon a candidateโ€™s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit www.nou-systems.com/workingatnou. U.S. citizenship is required for most positions.