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Mlops Internship Jobs (NOW HIRING)

Support MLOps and data pipelines : Collaborate with the team to improve data preprocessing ... Demonstrated experience through internships, research, or substantial projects is acceptable.

Work with DevOps team to implement robust MLOps practices, including versioning, CI/CD for ML ... internships, or realworld projects involving applied machine learning. #LI-WA1 #LI-HYBRID

Familiarity with MLOps and DevOps best practices * Exposure to distributed computing (Microsoft ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite

Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ... Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management * Demonstrated ...

Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ... Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management * Demonstrated ...

Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps ... internships and professional experience considered). * Demonstrated experience building and ...

Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps ... internships and professional experience considered). * Demonstrated experience building and ...

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How much do mlops internship jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for mlops internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is a MLOps Internship job?

An MLOps Internship is a role where interns learn and assist in deploying, monitoring, and maintaining machine learning models in production. Interns work with data scientists, engineers, and DevOps teams to automate workflows, improve model performance, and ensure scalability. Responsibilities may include building CI/CD pipelines, managing cloud infrastructure, and optimizing ML models. This role helps bridge the gap between machine learning development and real-world deployment. It is ideal for those interested in both software engineering and data science.

What does a typical day look like for an Mlops Intern?

As an Mlops Intern, you can expect to work alongside data scientists, machine learning engineers, and DevOps professionals to help automate and streamline the deployment of machine learning models. Your daily tasks may include maintaining CI/CD pipelines, monitoring deployed models, writing scripts for data and model management, and participating in team meetings to discuss ongoing challenges. You’ll often experiment with new tools or frameworks and contribute to documentation and troubleshooting processes. This collaborative environment gives you a chance to build both your technical and teamwork skills while gaining hands-on experience in the growing field of Mlops.

What are the key skills and qualifications needed to thrive in the Mlops Internship position, and why are they important?

To thrive as an Mlops Intern, you need a foundational knowledge of machine learning concepts, software engineering principles, and familiarity with cloud platforms, often supported by studies in computer science or a related field. Experience with tools like Docker, Kubernetes, CI/CD pipelines, version control (e.g., Git), and exposure to platforms such as AWS, Azure, or GCP is valuable. Strong problem-solving abilities, eagerness to learn, collaboration, and effective communication are important soft skills. These competencies are essential for supporting model deployment and operations in collaborative, fast-evolving tech environments.

More about Mlops Internship jobs
What cities are hiring for Mlops Internship jobs? Cities with the most Mlops Internship job openings:
What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
What states have the most Mlops Internship jobs? States with the most job openings for Mlops Internship jobs include:
Infographic showing various Mlops Internship job openings in the United States as of May 2026, with employment types broken down into 30% Internship, 60% Full Time, and 10% Part Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Lead Software Engineer, DevOps / MLOps (Agentic Workflows, AI/ML Guardrails, Kubernetes, Python, ...

Lead Software Engineer, DevOps / MLOps (Agentic Workflows, AI/ML Guardrails, Kubernetes, Python, ...

Capital One

Mclean, VA

Full-time

Posted 29 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

72nd of 141 rated banks


Job description

Lead Software Engineer, DevOps / MLOps (Agentic Workflows, AI/ML Guardrails, Kubernetes, Python, AWS)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed.

What You'll Do:

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services

Basic Qualifications:

  • Bachelor's degree

  • At least 4 years of experience in DevOps Engineering (Internship experience does not apply)

  • At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

  • At least 4 years of Unix or Linux system administration experience


Preferred Qualifications:

  • 7+ years of DevOps Engineering experience

  • 4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby)

  • 4+ years of experience using build and deployment tools (Jenkins, Docker, Kubernetes)

  • 2+ years of experience with distributed database systems (Cassandra, ElasticSearch)

  • 2+ years of experience with deploying clustered web services

  • 2+ years of experience working within Agile Development Practices

  • 2+ years of Machine Learning Operations experience


At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead Software Engineer


McLean, VA: $197,300 - $225,100 for Lead Software Engineer


New York, NY: $215,200 - $245,600 for Lead Software Engineer


San Francisco, CA: $215,200 - $245,600 for Lead Software Engineer


San Jose, CA: $215,200 - $245,600 for Lead Software Engineer







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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