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Part Time Mlops Jobs (NOW HIRING)

Ancestry

Machine Learning Engineer, Co-op

This is a part-time, work-study-based opportunity for active students in master's and PhD programs ... Develop pipelines and MLOps workflows to streamline model training, evaluation, and deployment.

Booz Allen Hamilton, Inc.

AI/ML Engineer

Arlington, VA · On-site

$99K - $225K/yr

... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

This is a part-time, work-study-based opportunity for active students in master's and PhD programs ... Develop pipelines and MLOps workflows to streamline model training, evaluation, and deployment.

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Part Time Mlops information

What are the key skills and qualifications needed to thrive as a Part Time MLOps Engineer, and why are they important?

To thrive as a Part Time MLOps Engineer, you need a solid background in machine learning concepts, software engineering, and cloud infrastructure, often supported by a relevant degree or certifications. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP is essential. Strong problem-solving, collaboration, and communication skills help you work effectively with data scientists and developers. Mastery of these areas ensures the efficient deployment, scaling, and maintenance of machine learning models in production environments.

What is the difference between Part Time Mlops vs Data Engineer?

AspectPart Time MlopsData Engineer
CredentialsRelevant certifications in MLOps, cloud platforms, programmingData management, SQL, cloud certifications
Work EnvironmentRemote or flexible, project-basedOffice or remote, infrastructure-focused
Industry UsageAI/ML projects, deployment pipelinesData pipelines, database management
Search & Comparison IntentUnderstanding MLOps roles, part-time opportunitiesData infrastructure, engineering roles

Part Time Mlops roles focus on deploying and maintaining machine learning models, often requiring cloud and automation skills, while Data Engineers build and manage data pipelines and infrastructure. Both roles are essential in data-driven organizations but differ in scope and daily tasks.

What are part-time MLOps jobs?

Part-time MLOps jobs involve working reduced hours on tasks related to machine learning operations. MLOps professionals help manage and automate the deployment, monitoring, and maintenance of machine learning models in production environments. These roles may include responsibilities like setting up CI/CD pipelines for ML models, managing cloud infrastructure, monitoring model performance, and collaborating with data scientists. Part-time roles are ideal for those seeking flexible work schedules or supplementary income while still contributing to the development and operationalization of AI solutions.

What are some common challenges faced by part-time MLOps professionals, and how can they be managed effectively?

Part-time MLOps professionals often face the challenge of balancing project continuity with limited working hours. Coordination with full-time data scientists and engineers can be demanding, especially when aligning on deployment schedules or troubleshooting issues. To manage these challenges, clear communication, thorough documentation, and use of collaborative tools are crucial. Regular check-ins with the team and setting realistic expectations for deliverables can also help ensure smooth workflow and project progress.
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What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
What job categories do people searching Part Time Mlops jobs look for? The top searched job categories for Part Time Mlops jobs are:
Part Time Mlops jobs near you
Infographic showing various Part Time Mlops job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Pre-Sales Solutions Engineer

Pre-Sales Solutions Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 20 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0242073
Location:
McLean,VA,US
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Pre-Sales Solutions Engineer
The Opportunity:
We are seeking a Lead Sales Engineer with deep expertise in cyber defense products, such as defensive cyber operations, malware reverse engineering, detection engineering, or threat hunting, and enterprise-grade solution architecture to support and drive complex sales engagements. This role combines technical execution with executive-level communication, acting as a trusted advisor to security, incident response, and threat intelligence teams. This role requires partnership with technical and business stakeholders across private and public sectors to support strategic solutioning and seamless integration of cyber product in the customer's environment.
You will guide technical input for proposals related to our cyber product portfolio, deliver compelling demos, and ensure seamless sales-to-delivery transitions. Due to the nature of work performed within this facility, U.S. citizenship is required.
What You'll Work On:
  • Serve as the primary technical authority for cyber products in market facing engagements and support solution design during enterprise sales cycles.
  • Deliver high-impact demos and technical presentations showcasing scalability, security, and integration of our cyber products across private and public sector markets.
  • Support competitive technical positioning against other competing products and solutions.
  • Support formal enterprise procurement processes, including proposals, architecture reviews, and security assessments. Articulate differentiators and guide negotiations.
  • Collaborate with Product, Engineering, and market teams to deliver market feedback and requests and influence product roadmap and market analysis.
  • Act as a technical advisor to customers during evaluation and early adoption phases in partnership with market teams.
  • Support post-sale customer success, troubleshooting, sales renewal and upgrades within the cyber product portfolio.

You Have:
  • 2+ years of experience in technical pre-sales or solution architecture
  • 2+ years of experience leading enterprise engagements
  • 2+ years of experience in architecting, implementing, and integrating enterprise-scale security architectures across endpoints, identity, networks, and cloud environments, including analyzing security telemetry to improve detection, alerting, and response behavior
  • 2+ years of experience working closely with security operations teams to support investigation workflows, alert triage, and operational decision-making
  • 2+ years of experience performing technical work, such as engineering software products, developing full-stack applications, deploying services, configuring operating systems, or building and maintaining test or production environments
  • Experience with AWS or Azure, container orchestration, such as Kubernetes, ECS, or ACA, and CI/CD tooling, such as GitLab, GitHub, Jenkins, ArgoCD, or Flux
  • Ability to adapt in rapidly changing environments
  • Bachelor's degree

Nice If You Have:
  • Experience with advanced capabilities in reverse engineering, behavioral analysis, and threat research, where solutions provide measurable improvements in detection accuracy, investigation efficiency, and enterprise-scale security operations
  • Experience supporting Fortune 500 regulated-industry customers and public sector
  • Experience integrating malware analysis platforms into SIEM, SOAR, or MDR environments
  • Experience integrating and operating Detection Engineering and Threat Hunting solutions
  • Experience with software engineering, such as programming in Python, Java, or C/C++, and building application integrations, such as RESTful API gateway services
  • Experience with automated testing and workflow optimization
  • Knowledge of AIOps, MLOps, ModelOps, or DataOps patterns
  • Possession of excellent interpersonal and analytical skills
  • Master's degree
  • Completion of GREM, OSCE, or SANS FOR/RE Courses

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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