ZipRecruiter

Log In

2

Remote Senior Machine Learning Engineer Jobs in Raleigh, NC

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

... 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 ...

Redhat

Sr Principal Software Engineer (Azure)

Raleigh, NC · On-site +1

$193K - $318K/yr

Mentor senior engineers, fostering a culture of technical excellence and continuous learning ... Internal-level knowledge of Kubernetes (API machinery, Operators, or Networking stack). * Mastery ...

DataAnnotation

SDLC Engineer - AI Trainer

Raleigh, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Durham, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Cary, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

next page

Showing results 1-20

People also search for

All JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Raleigh, NC

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 Jun 18, 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.

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 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:
Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 59% Full Time, 38% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $139,291 per year, or $67 per hour.

Senior Distinguished Technologist - Pre-Sales AI & Data Center Networking

Hewlett Packard Enterprise Development LP

Raleigh, NC • Remote

Full-time

Posted 15 days ago

Job description

Senior Distinguished Technologist - Pre-Sales AI & Data Center NetworkingThis role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

Senior Distinguished Technologist - Pre-Sales AI & Data Center Networking

About HPE Networking & The Role

HPE Networking simplifies networking through innovative, software-defined products and solutions for cloud, AI, and data center environments.HPE Networkingdevelopsindustry-leading technologies that are ever more software-defined, helping to answer the most challenging issues in connectivity. Digital transformation is everywhere, with technologies such as Multi-Cloud, Cybersecurity, Automation, IoT, AI, Machine Learning, and 5G driving the next waves of innovation.

Our Sales Engineering team empowers customers and partners to solve complex challenges with scalable, secure networking solutions.If you have over-the-top technical capability and curiosity; if you can influence both technical and business partners by translating business goals and challenges into technical solutions while differentiatingHPEfrom competing solutions; if your interpersonal and high-impact presentation skills evoke passion and confidence; if you're a born problem-solver that loves to get into the details and have a burning desire to answer the hard problems in a constantly evolving, results-oriented industry -HPE Networkingis the place for you!

We are seeking a Senior Distinguished Technologist to lead architecture and solution design for AI/MLNetworkingInfrastructure, Data Center, and WAN networking opportunities globally. This role requires deep technicalexpertise,experience,creative problem-solving, and strong customer engagement skills to influence and shape multi-billion-dollardeals.

WhatYou'llDo

  • Act as aprimary technicalarchitect early in complex sales cycles, working independently or with Sales Engineers to translate business needs into scalable technical solutions.

  • Architect end-to-end networking infrastructure solutions with strongexpertisein datacenter, AI networking, hyperscale environments, and WAN technologies.

  • Lead solution design and customization, orchestrating input from specialists, systems engineers, and product teams to meet customer requirements.

  • Deliver compelling demos, proof-of-concepts, and technical presentations that clearly articulateHPE Networking'svalue in customer use cases.

  • Engage withhyperscalers, large enterprises,service providersand technology partners to co-design solutions addressing emerging challenges across industries and workloads.

  • Influence technical strategy throughout deal validation, solutioning, and initial execution, ensuring smooth handoff to delivery teams.

  • Develop best practices, enablement collateral, and architecture playbooks to scale solutions internally and with partners.

  • Mentor and provide technical leadership to junior technologists and sales engineering teams.

  • Navigate and adapt through complex technology transitions,maintainingthought leadership in networking innovations and industry trends.

RoleRequirements

  • Bachelor's degree in engineeringor related fieldrequired, advanced degree preferred

  • 20+ years of technical experience in network infrastructureArchitecture,design and solutionsconsulting,designinglarge-scale AI, Cloud DataCenterinHyperscale networking environments.

  • 20+years ofindustryexperienceapplying technicalexpertisewithJunOS, EOS, IOS and hyperscale network architecture frameworks. JNCIE or equivalent certification.

  • Experience presenting and driving technology thought leadership at relevant industry events, and experience driving standards and other forward-looking initiatives with relevant standards bodies such as OCP, IETF, UEC, IEEE....etc.

  • Deep hands-onexpertisewithhyperscalerouting,MPLS traffic engineering,switching, SDN overlays (EVPN/VXLAN, MP-BGP),Network Fabrics and DCI solutions,networkprovisioning,automationand monitoring(Apstra, Paragon,NETCONF/REST APIs, YANG),and

  • Familiarity with major networking silicon,hardwareplatformsand related software(e.g., Juniper, Arista,Cisco,SONiC, Cumulusetc.)

  • SME inVirtualization technologies on x86 and scaling using technologies such DPDK, SR-IOV,SmartNICsetc.

  • Proven success in complex pre-sales roles, witha strongability to build relationships with senior technical andC-Levelstakeholders.

  • Experience with programming/scripting (Python, APIs,JSONetc.) to enable solution integration and automation.

  • Strong communication, presentation, and interpersonal skills with the ability to influence diverse technical and business audiences.

  • Demonstrated experience designing&developing playbooks, and deliveringdemonstrationsor livewalk throughs fora complex variety of networking products, solutions,toolsand services

  • Experience preparing RFP/Tender response documents like compliancetothe RFP, bill of materials, commercial/pricing, and solution documents to drive a successful response.

  • Willingness to travel up to 50%, including international travel on short notice.

Additional Skills:

Accountability, Accountability, Active Learning, Active Listening, Assertiveness, Bias, Building Rapport, Buyer Personas, Coaching, Complex Sales, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Experience Strategy, Customer Interactions, Design Thinking, Empathy, Financial Acumen, Follow-Through, Growth Mindset, Identifying Sales Opportunities, Industry Knowledge, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 6 more}

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#executive, #networking

Job:

Sales

Job Level:

TCP_08The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 293,000 - 587,000 in Massachusetts // 293,000 - 624,000 in California & New York // 257,500 - 624,000 in North Carolina & Texas
This range reflects the minimum to maximum combined base and target-level sales compensation that would be paid if the hire performs at 100% of their sales plan. Of that on-target pay amount, the mix of base salary and target-level sales compensation is 75%/25%.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Apply