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How much do freelance mlops jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for freelance mlops in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Mlops vs Data Engineer?

AspectFreelance MlopsData Engineer
CredentialsRelevant certifications (e.g., AWS, GCP, Azure)Computer science or related degree, certifications optional
Work EnvironmentIndependent, project-based, remoteFull-time, in-house or remote
Industry UsageTech companies, startups, consultingTech, finance, healthcare, and more
Common Search IntentFreelance Mlops projects, freelance Mlops jobsData engineering roles, data pipeline development

Freelance Mlops professionals focus on deploying and maintaining machine learning models in production environments on a project basis, often working remotely. Data Engineers build and manage data pipelines and infrastructure, typically in full-time roles within organizations. While both roles require technical skills, Freelance Mlops emphasizes deployment and automation expertise, whereas Data Engineers concentrate on data architecture and processing.

What are some common challenges freelance MLOps professionals face when working with multiple clients?

Freelance MLOps professionals often navigate challenges such as managing diverse infrastructure requirements, adapting to various deployment environments, and ensuring consistent model monitoring across clients. Each client may use different cloud providers or tools, requiring quick learning and flexibility. Additionally, clear communication is key, as freelancers must align on project goals, timelines, and security protocols while often working remotely with distributed teams.

What are the key skills and qualifications needed to thrive as a freelance MLOps engineer, and why are they important?

To thrive as a Freelance MLOps Engineer, you need strong expertise in machine learning, software engineering, and cloud infrastructure, often backed by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, Azure, or GCP, along with certifications like AWS Certified Machine Learning or Google Professional ML Engineer, is highly valuable. Excellent problem-solving, time management, and communication skills help you coordinate with clients and adapt to diverse project requirements. These skills and qualities are crucial for effectively deploying scalable ML solutions and ensuring smooth collaboration in remote, project-based environments.

What is a freelance MLOps professional?

Freelance MLOps professionals are independent specialists who help organizations streamline and manage the deployment, monitoring, and maintenance of machine learning models. They combine expertise in software engineering, machine learning, and DevOps to automate ML workflows and ensure models run efficiently in production. Freelance MLOps experts often work on a project basis, providing services such as setting up CI/CD pipelines for ML, managing cloud infrastructure, and implementing model monitoring tools. They allow companies to leverage MLOps best practices without hiring full-time employees.
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What cities are hiring for Freelance Mlops jobs? Cities with the most Freelance Mlops job openings:
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Freelance Mlops jobs near you
Infographic showing various Freelance Mlops job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Software Engineer

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

$87K - $137K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Company Description
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Overview
As a Staff Software Engineer, GenAI & Applied Innovation, you will be the senior hands-on engineer in a cross-functional Alpha Labs team. Your mandate: turn cutting-edge generative-AI research and data-science insights into live demonstrations that differentiates Publicis in competitive pitches and large-scale client engagements. You will architect and build cloud-native services, GenAI-powered prototypes and intelligent APIs, then collaborate with data scientists, audience strategists, creatives and media technologists to embed those solutions across the connected consumer journey.
Responsibilities
1. Core Engineering & GenAI
  • Design, build and own backend services, microservices and cloud functions (AWS, Azure, Databricks) that power GenAI and data science workflows.
  • Integrate and experiment with GenAI APIs (OpenAI, Claude, proprietary LLMs) and agent/tool frameworks; implement retrieval augmented generation and vector database pipelines where useful.
  • Develop occasional cross platform front ends (React, Next.js, Flutter) to showcase prototypes and MVPs.

2. Product & Innovation
  • Rapid prototype novel audience intelligence or ad tech concepts for new business pitches; evolve proofs of concept into scalable products.
  • Collaborate with data scientists to operationalize predictive segmentation, targeting and measurement models.
  • Embed observability, monitoring and automated CI/CD so experiments can harden into production quickly.

3. Enablement & Leadership
  • Act as the technical lead within the squad: set coding standards, review PRs and mentor engineers.
  • Translate complex AI/ML ideas into clear narratives for creative, media and C suite audiences.
  • Contribute to hackathons, design thinking sprints and CoreAI product road mapping initiatives

Qualifications
  • 6+ years professional software-engineering experience (or 4+ years with a relevant advanced degree).
  • Expert-level Python plus proficiency in at least one additional modern language (TypeScript/JavaScript, Java, Go, Dart, etc.).
  • Hands-on experience calling or fine-tuning GenAI/LLM APIs (e.g., GPT-4o, Claude, Gemini) and integrating them into user-facing or service-layer applications.
  • Working knowledge of front-end or mobile frameworks (React, Next.js, Flutter, etc.).
  • Prior work with AI-agent orchestration, vector databases (Pinecone, Weaviate, PGVector) or LangChain/LlamaIndex.
  • Experience deploying models or apps in Databricks and using MLflow or similar MLOps tooling.
  • Familiarity with marketing-tech or ad-tech domains, including identity graphs, segmentation and measurement.
  • Thrives in fast-moving, ambiguous environments; balances strategic vision with hands-on execution.

Additional Information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Compensation Range: $87,210 - $137,195 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/20/2025.
All your information will be kept confidential according to EEO guidelines.
Veterans Encouraged to Apply.
#LI-MB5
Compensation Range: USD $87,210.00 - USD $137,195.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/31/2025.

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