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Remote Machine Learning Finance Jobs (NOW HIRING)

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

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 ...

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

Paylocity

Machine Learning Engineer

... your finances. And if it's career development you desire, we provide that, too! At Paylocity ... This is a fully remote position, allowing you to work from home or location of record within the U.

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

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 ...

Pluralsight LLC

Machine Learning Engineer

$121K - $160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

Clevanoo LLC

Be Seen First

Machine Learning Engineer

Dallas, TX · Remote

Remote (TX) DURATION: Contract POSITION SUMMARY: Client transforms chronic care management by ... Their expertise in machine learning frameworks and software engineering ensures that the predictive ...

New

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

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All JobsRemote Machine Learning Finance Jobs

Remote Machine Learning Finance information

See salary details

$25K

$92.6K

$135.5K

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

As of Jun 21, 2026, the average yearly pay for remote machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning, often in finance or technology sectors, with compensation including salary, bonuses, and stock options. Such roles usually require advanced skills in data science, programming, and domain expertise, and may involve leadership responsibilities or specialized technical knowledge.

What is the salary of ML in finance?

The salary for machine learning professionals in finance typically ranges from $80,000 to $150,000 annually, depending on experience, location, and specific role. Senior positions or those with specialized skills in quantitative analysis or financial modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

How do remote machine learning professionals in finance typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

Can machine learning be used in finance?

Machine learning is widely used in finance, including for risk assessment, fraud detection, algorithmic trading, and portfolio management. Financial analysts and data scientists leverage tools like Python, R, and machine learning frameworks to develop predictive models and automate decision-making processes.

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

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

Which 3 jobs will survive AI?

Remote machine learning finance roles such as quantitative analysts, financial data scientists, and risk managers are likely to persist as they require complex judgment, domain expertise, and interpretative skills that AI cannot fully replicate. These jobs involve understanding financial markets, developing models, and making strategic decisions, often supported by advanced tools and certifications. Continuous learning and staying updated with AI tools can enhance job security in this field.

What is a Remote Machine Learning Finance job?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.
More about Remote Machine Learning Finance jobs
What cities are hiring for Remote Machine Learning Finance jobs? Cities with the most Remote Machine Learning Finance job openings:
What are the most commonly searched types of Machine Learning Finance jobs? The most popular types of Machine Learning Finance jobs are:
What states have the most Remote Machine Learning Finance jobs? States with the most job openings for Remote Machine Learning Finance jobs include:
What job categories do people searching Remote Machine Learning Finance jobs look for? The top searched job categories for Remote Machine Learning Finance jobs are:
Remote Machine Learning Finance jobs near you
Infographic showing various Remote Machine Learning Finance job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

Posted 25 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.

Apply