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Remote Senior Machine Learning Engineer Jobs in Raleigh, NC

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 ...

Decision Scientist

Raleigh, NC ยท On-site +1

$118K - $178K/yr

Design, develop, and deploy machine learning models that support key decision points throughout the ... Partner closely with Data Engineering teams to build and maintain the data pipelines and workflows ...

Senior Azure Engineer (Remote)

Raleigh, NC ยท Remote

$54.25 - $72.50/hr

As a Senior Azure Engineer, you will serve as a senior technical authority for Azure architecture ... Virtual Machines * Azure Kubernetes Service (AKS) * Azure Storage * Azure SQL * Azure App Services

Senior Azure Engineer (Remote)

Raleigh, NC ยท Remote

$54.25 - $72.50/hr

As a Senior Azure Engineer, you will serve as a senior technical authority for Azure architecture ... Virtual Machines * Azure Kubernetes Service (AKS) * Azure Storage * Azure SQL * Azure App Services

Senior Azure Engineer (Remote)

Raleigh, NC ยท On-site +1

$54.25 - $72.50/hr

As a Senior Azure Engineer, you will serve as a senior technical authority for Azure architecture ... Virtual Machines * Azure Kubernetes Service (AKS) * Azure Storage * Azure SQL * Azure App Services

Direct-manage a team of Senior, Mid-level and Junior Full Stack Engineers across front-end, ... Experience integrating data pipelines, machine learning, or BI tools into product workflows. About ...

Data Scientist

Raleigh, NC ยท On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

New

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 ...

Showing results 21-40

Remote Senior Machine Learning Engineer information

See Raleigh, NC salary details

$73.4K

$139.3K

$186.6K

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

As of Aug 19, 2026, the average yearly pay for remote senior machine learning engineer in Raleigh, NC is $139,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $157,000.00 per year, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Remote Senior Machine Learning Engineer jobs in Raleigh, NC?

For Remote Senior Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Raleigh, NC look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Raleigh, NC with the most Remote Senior Machine Learning Engineer job openings:

Infographic showing various Remote Senior Machine Learning Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $139,291 per year, or $67 per hour.

AI Automation Engineer V

Bitovi

Durham, NC โ€ข Remote

$126K - $244K/yr

Full-time

Medical, Life, PTO

Re-posted 14 days ago


Job description

PLEASE NOTE: Bitovi has been engaged by Avalara to lead initial and technical interviews for this role. While Bitovi will conduct the early rounds, the final interview and hiring decision will be made by Avalara directly.

What You'll Do

As an AI Automation Engineer, you will help shape how work is automated, orchestrated, and improved across Avalara. You will lead the design and engineering of scalable AI powered automation solutions, using n8n as a core orchestration platform to improve productivity, quality, and operational scale. This is a highly visible individual contributor role that combines hands on engineering, platform ownership, and technical leadership to accelerate business transformation across the organization. You will partner with teams across Avalara to embed intelligent workflows, AI agents, and data-driven decisioning into business processes while establishing standards that enable secure, reliable, and measurable automation. This role reports to the Sr Manager, Enterprise Systems.

This is a full-time role with Avalara, offering a fully remote work arrangement.

What Your Responsibilities Will Be

• Own and help execute Avalara's enterprise AI automation and transformation strategy, with n8n serving as a core workflow orchestration platform

• Design and build scalable & secure automation solutions that reduce manual work and improve business process efficiency

• Develop AI-enabled workflows, intelligent agents, and decisioning frameworks that support business transformation across multiple functions

• Architect API-first and event-driven integrations that connect enterprise systems, automation platforms, and AI services

• Establish platform standards for development, deployment, monitoring, reliability, and governance across automation initiatives.

• Define and maintain CI/CD processes, environment strategies, and release practices that improve automation quality and delivery speed

• Create reusable automation frameworks, workflow templates, prompt patterns, and AI agent accelerators that increase consistency and reuse

• Implement observability, monitoring, and performance measurement practices for both traditional and AI-driven workflows.

• Lead technical design reviews, workflow assessments, and post-incident reviews to improve platform reliability and operational excellence

• Mentor engineers and implementation partners while promoting best practices for AI automation, agent orchestration, responsible AI, and workflow engineering

What You’ll Need To Be Successful

• Bachelor's degree in computer science, Engineering, or a related field and 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture

• Deep hands-on experience with n8n or Boomi, including designing and operating enterprise automation solutions and AI-enabled workflows

• Strong expertise in API-first and event-driven architectures, REST APIs, webhooks, OAuth, JWT, and secure integration practices

• Experience implementing CI/CD, automation governance, observability, and reliability practices across enterprise-scale platforms

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform, including AI and machine learning services and large language model integrations

• Demonstrated ability to identify high-value AI automation opportunities, build AI-enabled solutions responsibly, measure business impact, influence technical direction, and raise engineering standards through mentorship and leadership.

12-Month Success Signals

Within the first 12 months, this role will have:

• Enabled AI-native automation capabilities, including production-grade AI agents integrated into core workflows

• Improved automation reliability and reduced workflow failure rates and/or MTTR

• Standardized automation patterns, including AI-enabled orchestration patterns, adopted across new transformation initiatives

• Implemented measurable observability, including AI performance, business impact, and cost metrics

• Delivered AI-driven automation use cases that reduce manual effort, improve decision-making, or shorten process cycle time across multiple functions

• Raised execution standards across the automation team through mentorship, technical leadership, and AI capability development

Avalara is an AI-first Company AI Expectations

As an AI-first company, Avalara expects this role to embed AI into how automation and transformation work is designed and executed.

This role will:

• Design and implement AI-enabled workflows and transformation patterns that materially improve speed, automation, and scale

• Use AI tools to optimize development productivity, workflow diagnostics, process analysis, and root-cause investigation

• Identify high-value AI automation opportunities tied to efficiency, reliability, employee experience, or customer impact

• Apply AI responsibly with appropriate governance, security, and risk considerations

• Elevate AI capability across the automation team by sharing best practices and driving measurable adoption This role must demonstrate applied AI impact — not casual tool usage — and measure improvements enabled by AI-driven automation and transformation.

Avalara is an AI-first Company

AI is embedded in our workflows, decision-making, and products.  Success here requires embracing AI as an essential capability.

  • You’ll bring experience using AI and AI-related technologies, ready to thrive here.

  • You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.

  • You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

How We’ll Take Care Of You

Total Rewards 

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. 

Health & Wellness 
Benefits vary by location but generally include private medical, life, and disability insurance. 

Inclusive culture and diversity 
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. 

What You Need To Know About Avalara

We’re defining the relationship between tax and tech.

We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.

We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.

We’re An Equal Opportunity Employer

Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

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