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Remote Machine Learning Finance Jobs in Boston, MA

Remote AI Architect

Boston, MA ยท Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure ...

AI/ML Tech Lead / Architect

Boston, MA ยท On-site +1

$60 - $82.25/hr

... can work remote. This is the least preferred option. Type of Hire: Contract/ C2H - Contract ... Advanced experience in production grade Machine Learning Model design and implementation including ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

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Showing results 1-20

Remote Machine Learning Finance information

See Boston, MA salary details

$27.2K

$100.6K

$147.2K

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

As of Jun 12, 2026, the average yearly pay for remote machine learning finance in Boston, MA is $100,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $118,400.00 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.
What job categories do people searching Remote Machine Learning Finance jobs in Boston, MA look for? The top searched job categories for Remote Machine Learning Finance jobs in Boston, MA are:
Senior Machine Learning Engineer - Healthcare Revenue Cycle Management (RCM)

Senior Machine Learning Engineer - Healthcare Revenue Cycle Management (RCM)

Saviance

Boston, MA โ€ข On-site, Remote

$113K - $155K/yr

Other

Posted 26 days ago


Job description

Senior Machine Learning Engineer - Healthcare Revenue Cycle Management (RCM)
Location: Hybrid- Chennai, India (Every Thursday Onsite)
Duration: Full Time
About BigRio:
BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.
About Job
We are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM), which streamlines claims, billing, and payment processes for healthcare providers. In this role, you'll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.
About You
You're a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you're motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.
About the Team
Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.
Key Responsibilities
  • Identify opportunities to apply machine learning to RCM workflows.
  • Design, develop, and deploy ML-based production services.
  • Adhere to and advocate for best practices in model development and engineering.
  • Conduct rigorous testing and validation of models and code.
  • Contribute to the development of internal tools and team standards.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 3-5 years of hands-on experience building, evaluating, and deploying ML models.
  • Strong programming skills in Python, with proficiency in SQL and Unix environments.
  • Experience with deep learning and neural network architectures (preferred).
  • Familiarity with training and fine-tuning LLMs or generative AI models (bonus).
  • Exposure to NLP or computer vision is a plus.
  • Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.
  • Excellent communication skills, both written and verbal.

Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. Itโ€™s our diversity thatโ€™s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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