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Contract Machine Learning Software Engineer Jobs in Kinston, NC

Cloud Platform Engineer

Greenville, NC · On-site

$49.75 - $66.50/hr

This position is contingent upon contract award and position availability. Selected candidates will ... virtual machine lifecycle activities across large number of VMs, including provisioning ...

We also make the machines they run on. What we're building matters. How we treat people matters ... REQUIREMENTS: -Experience in QA, testing, automation, technical support, software validation, or ...

... production software. • Sharp technical judgment with the ability to quickly identify which ... Preferred : • Experience with casino gaming, slot machine development, land-based gaming, or ...

Utilize knowledge of CNC machining, lathes, laser cutting, and other manufacturing techniques when ... Job Type & Location This is a Contract to Hire position based out of Snow Hill, NC. Pay and ...

Controls Engineer

New Bern, NC · On-site

$70K - $110K/yr

... software, and controls technology applications * Work with integrators and machine builders in ... Knowledge of specifying, integrating, and programming multiple aspects of automated and semi ...

Controls Engineer

New Bern, NC · On-site

$70K - $110K/yr

... software, and controls technology applications * Work with integrators and machine builders in ... Knowledge of specifying, integrating, and programming multiple aspects of automated and semi ...

We also make the machines they run on. What we're building matters. How we treat people matters ... production software. -Sharp technical judgment with the ability to quickly identify which ...

... learning courses focusing on ways to develop your employability, certifications, career path; as ... Your Challenges Specify industrial jigs, tools and machinery for the industrial evolution: 35%

... learning courses focusing on ways to develop your employability, certifications, career path; as ... Your Challenges Specify industrial jigs, tools and machinery for the industrial evolution: 35%

Engineer-in-Training (EIT)

New Bern, NC · On-site

$75K - $110K/yr

Learning applied engineering methodologies under the supervision of licensed engineers. * Assisting ... Familiarity with engineering software platforms and design tools. * Experience supporting ...

CNC Lathe Programmer

Snow Hill, NC · On-site

$25 - $35/hr

Join Our Team as a CNC Lathe Programmer at Worth Products in Snow Hill, NC Are you a skilled ... in Machining, or 5 Years Relevant Experience Must be able to program with Gibbs Cam software ...

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Showing results 1-20

Contract Machine Learning Software Engineer information

See Kinston, NC salary details

$59.3K

$137.8K

$191.9K

How much do contract machine learning software engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for contract machine learning software engineer in Kinston, NC is $137,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $161,500.00 per year, depending on experience, location, and employer.

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

What is the difference between Contract Machine Learning Software Engineer vs Data Scientist?

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Software Engineer, and why are they important?

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.
Cloud Platform Engineer

Cloud Platform Engineer

Maximus

Greenville, NC • On-site

$49.75 - $66.50/hr

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 293 frontline employees who took The Breakroom Quiz

253rd of 449 rated business services


Job description

Description & Requirements

Maximus is currently seeking a Cloud Platform Engineer.

This is a remote position.

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Our work focuses on sustaining, operating, and improving essential government systems and services, with proven operational excellence, and a commitment to mission success for our customers.

Joining Maximus means becoming part of a collaborative, mission‑driven organization where teamwork, accountability, and professional growth are core to how we operate. We invest in our workforce through training, education, and career development, empowering professionals to deliver high‑impact solutions while contributing to outcomes that matter at a national scale.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

Ability to obtain and maintain a Public Trust is required. An active Public Trust and/or DHS suitability is preferred. Must be a U.S. Citizen without dual citizenship.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS165, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

- Provide operational support for AWS and Azure cloud environments, including IaaS and PaaS services.

- Manage full virtual machine lifecycle activities across large number of VMs, including provisioning, configuration, patch coordination, scaling, and decommissioning.

- Support Azure subscription management, including expansion from initial environments to scaled multi-subscription architectures aligned with enterprise governance standards.

- Perform backup and restore operations, ensuring data protection, recovery readiness, and compliance with enterprise and federal requirements.

- Design and build cloud environments to support application onboarding, testing, and production deployments.

- Integrate security controls, automated testing, and compliance scanning into pipeline workflows to support secure software delivery and platform hardening.

- Monitor cloud platforms for performance, availability, and security, supporting incident response and troubleshooting activities in coordination with operations teams.

- Collaborate with cloud engineers, architects, and enterprise teams to align cloud implementations with architecture standards and operational best practices.

- Support cloud platforms that enable VoIP, VTC, and real-time communications systems, ensuring reliability, performance, and operational continuity.

Job-Specific Minimum Requirements:

- Demonstrated experience supporting AWS / Azure IaaS and PaaS environments, including VM lifecycle management, networking, and platform services.

- Hands-on experience managing large-scale VM environments (hundreds of VMs) in enterprise or federal settings.

- Proven experience with Infrastructure as Code (e.g., ARM templates, Bicep, Terraform) for automated provisioning and configuration.

- Experience designing and maintaining CI/CD pipelines using tools such as Azure DevOps, GitLab, Jenkins, or similar.

- Demonstrated experience integrating security scanning, compliance checks, and automated testing into DevSecOps pipelines.

- Experience supporting backup, restore, and disaster recovery operations within cloud environments.

- Experience with monitoring, logging, and alerting tools (e.g., Azure Monitor, Log Analytics, Splunk, or equivalent).

- Experience supporting incident response, troubleshooting, and production operations in mission-critical systems.

- Ability to create and maintain technical documentation, runbooks, and deployment procedures.

- Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field. Additional years of relevant experience will be considered in lieu of degree.

- 5+ years of experience in cloud engineering, DevSecOps, or AWS or Azure platform operations.

Preferred Skills and Qualifications:

- Experience supporting federal government environments.

- Experience operating in large-scale, multi-subscription Azure environments.

- Familiarity with DevSecOps best practices and secure software delivery pipelines.

- Experience supporting real-time communications platforms (VoIP, VTC) in cloud environments.

- Knowledge of ITSM/ITOM frameworks and integration with cloud operations.

- Experience with cloud cost management and optimization practices.

- Strong collaboration skills across cloud engineering, security, and operations teams.

- Excellent troubleshooting and communication skills in high-visibility environments.

- At least one cloud platform certification (e.g., AWS, Microsoft Azure or Google).

#techjobs #clearance #veteransPage #LI-remote

Minimum Requirements

TCS165, T3, Band 6

#TSTECH

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .


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