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Remote Senior Machine Learning Engineer Jobs in Durham, NC

Senior AI FinOps Data Analyst

Raleigh, NC ยท On-site +1

$88K - $141K/yr

... Engineering. This is not an administrative or passive reporting role; it requires an AI thought ... adoptions, machine learning workloads, and enterprise GPU utilization. * Dataverse Pipeline ...

Enterprise Data Engineering * Artificial Intelligence & Intelligent Automation * Enterprise ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...

AI Automation Engineer V

Durham, NC ยท Remote

$126K - $244K/yr

... Sr Manager, Enterprise Systems. This is a full-time role with Avalara, offering a fully remote work ... and machine learning services and large language model integrations * Demonstrated ability to ...

AI Automation Engineer V

Durham, NC ยท On-site +1

$126K - $244K/yr

... Sr Manager, Enterprise Systems. This is a full-time role with Avalara, offering a fully remote work ... machine learning services and large language model integrations โ€ข Demonstrated ability to ...

Senior Data Scientist II

Raleigh, NC ยท On-site +1

$125K - $209K/yr

... machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate ...

Senior Data Scientist II

Raleigh, NC ยท On-site +1

$115K - $192K/yr

... machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate ...

Senior Data Scientist II

Raleigh, NC ยท On-site +1

$125K - $209K/yr

... machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate ...

Senior Structural Engineer

Raleigh, NC ยท On-site +1

$97K - $132K/yr

Savannah, GA / Remote (Hybrid options available) About Raymond: We are a progressive, forward ... Senior Structural Engineer We are seeking an experienced Senior Structural Engineer to lead ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

Senior Transformer Engineer

Raleigh, NC ยท On-site +1

$101K - $139K/yr

Engineering & Science Job Schedule: Full time Remote: Yes Senior Transformer Engineer The ... Access to learning platforms and career development programs * Competitive health and retirement ...

Senior Lead Project Engineer

Raleigh, NC ยท On-site +1

$96K - $125K/yr

Engineering & Science Job Schedule: Full time Remote: No At Hitachi Energy, we're not just building ... Employee Resource Groups (depending on location), tuition reimbursement program, on-demand learning ...

Showing results 41-60

Remote Senior Machine Learning Engineer information

See Durham, NC salary details

$73K

$138.5K

$185.5K

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

As of Aug 6, 2026, the average yearly pay for remote senior machine learning engineer in Durham, NC is $138,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $156,100.00 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.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Durham, NC? For Remote Senior Machine Learning Engineer jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Durham, NC look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Durham, NC are:
What cities near Durham, NC are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Durham, NC with the most Remote Senior Machine Learning Engineer job openings:

Senior AI FinOps Data Analyst

Redhat

Raleigh, NC โ€ข On-site, Remote

$88K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Job summary

Red Hat is looking for a Senior FinOps Data Analyst to join us in Raleigh. The Senior FinOps Data Analyst sits at the intersection of Cloud Infrastructure, Corporate Finance, and AI Engineering. This is not an administrative or passive reporting role; it requires an AI thought-first mindset and a deep curiosity for building internal tools that eliminate manual friction.
Rather than relying on a single legacy platform, this analyst treats FinOps as a dynamic, multi-tool environment-leveraging raw operational datasets to power AI agents, predict cloud economics, and steer the enterprise's hybrid cloud strategy.

What you will do:

  • AI & GPU Infrastructure Modeling: Track, evaluate, and forecast cross-environment financial trends driven specifically by AI platform adoptions, machine learning workloads, and enterprise GPU utilization.

  • Dataverse Pipeline Integration: Act as the core architect for cloud and data center data collection, building reliable ingestion loops that funnel technical usage data directly into Dataverse.

  • Dynamic PO Lifecycle Management: Reform the purchase order framework from an annual forecast model to an active, twice-a-year allocation refresh cycle that keeps pace with AI investment spikes.

  • Cross-Functional Bridge Building: Partner directly with workstream service owners and IT engineering teams to translate raw system metrics into shared financial strategies, preventing data misinterpretation.

What you will bring:

  • Bachelor's degree in Information Technology, Data Analytics, Computer Science, or a related field; or equivalent combination of education and relevant professional experience

  • 2+ years of progressive experience in FinOps, cloud financial management, data analysis, IT finance, or a related technology operations role

  • Demonstrated ability to work with large operational datasets using SQL and at least one scripting language (Python preferred)

  • Working knowledge of public cloud billing, cost allocation, and optimization concepts across at least one major provider (AWS, GCP, or Azure)

  • Experience translating technical usage and spend data into clear reports, forecasts, or recommendations for engineering and leadership stakeholders

  • Strong written and verbal communication skills; ability to influence cross-functional partners without direct authority

Preferred Qualifications

  • Experience building automations, internal tools, or data pipelines - including use of AI-assisted development tools (e.g., Cursor, LLM APIs)

  • Familiarity with enterprise data platforms (Snowflake, Dataverse, or similar warehouse/lake environments)

  • Experience modeling OpEx and CapEx together for hybrid cloud or infrastructure planning

  • Exposure to AI/GPU workload cost forecasting or high-growth technology spend environments

  • Experience partnering with shared services, procurement, or finance teams on invoice validation, chargeback, or PO lifecycle management

The salary range for this position is $88,510.00 - $141,630.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.