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Freelance Mlops Engineer Jobs (NOW HIRING)

Freelance Mlops Engineer information

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How much do freelance mlops engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for freelance mlops engineer 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 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 workflows, software engineering, and cloud infrastructure, often backed by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD platforms, cloud services (e.g., AWS, Azure, GCP), and familiarity with version control systems and ML frameworks is essential. Excellent problem-solving, communication, and project management skills help freelancers deliver solutions and collaborate effectively with diverse clients. These skills ensure reliable deployment, scalability, and maintenance of machine learning systems in dynamic, client-driven environments.

What are Freelance MLOps Engineers?

Freelance MLOps Engineers are independent professionals who specialize in deploying, managing, and optimizing machine learning models in production environments. They work with organizations on a project or contract basis to build robust ML pipelines, automate workflows, and ensure models are reliable, scalable, and maintainable. Their roles often include tasks like setting up infrastructure, monitoring model performance, and collaborating with data scientists and engineers to streamline the machine learning lifecycle.

What is the difference between Freelance Mlops Engineer vs Data Scientist?

AspectFreelance Mlops EngineerData Scientist
CredentialsRelevant certifications in MLOps, cloud platforms, and DevOpsDegree in Data Science, Statistics, or related fields
Work EnvironmentRemote, project-based, often freelance or contractRemote or on-site, typically full-time in organizations
Industry UsageTech companies, startups, consulting firmsResearch institutions, tech companies, finance, healthcare

The Freelance Mlops Engineer focuses on deploying, maintaining, and optimizing machine learning models in production environments, often working independently on various projects. In contrast, Data Scientists primarily analyze data, develop models, and generate insights, usually within a company's team. While both roles require technical expertise, their core responsibilities and work settings differ significantly.

What are some common challenges freelance MLOps engineers face when working with clients remotely?

Freelance MLOps engineers often encounter challenges such as aligning infrastructure requirements with client expectations, navigating varying cloud platforms and tools, and ensuring seamless deployment pipelines across different environments. Communication is key, as remote collaboration may lead to misunderstandings about project scope or timelines. Proactively setting up clear documentation, regular check-ins, and version control practices can help manage these challenges effectively and ensure successful project delivery.
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Senior Software Engineer

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

$87K - $137K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 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.