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Hire vetted MLOps developers on demand. Leading companies choose MLOps freelancers from Toptal for their most important development projects.

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Clients rate Toptal MLOps developers 4.9 / 5.0 on average based on 1,496 reviews.
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Ranjana Rajendran

MLOps Developer
UTC-08:00
United States
Toptal Member Since May 7, 2026

Ranjana is a software engineer with 10+ years of experience building production ML infrastructure at Amazon Web Services (AWS) and Mastercard. She has a strong background in MLOps, distributed systems, and scaling ML pipelines. She has focused on LLM deployment, retrieval systems, and model serving, continuously applying rigorous engineering to real-world AI systems.

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David Adeyemi

MLOps Developer
UTC-06:00
United States
Toptal Member Since May 9, 2025

David is a DevOps engineer with about six years of proven success in designing, building, and managing resilient, highly available, and cost-optimized cloud-based solutions. He has extensive experience in Kubernetes, infrastructure as code (IaC), CI/CD pipelines, and MLOps. A lifelong learner dedicated to staying ahead of evolving technologies, David has improved deployment efficiency and optimized performance using cutting-edge tools such as Terraform, Ansible, and Argo CD.

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Andrew Tefft

MLOps Developer
UTC-05:00
United States
Toptal Member Since June 1, 2026

Andrew is a staff software engineer with 15 years of experience building high-throughput back-end systems and ML infrastructure at Fox Corporation. He specializes in AWS serverless architecture, C#.NET back-end engineering, and MLOps, including recommendation systems and ML inference pipelines built on Amazon Personalize, SageMaker, and Databricks.

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David Todd

MLOps Developer
UTC+00:00
United Kingdom
Toptal Member Since August 14, 2025

David is a highly motivated and results-oriented DevOps/MLOps engineer with over 25 years of experience delivering successful infrastructure, application, and cloud solutions at the enterprise level. He's a certified Google Cloud architect with extensive expertise in Kubernetes, ML/AI infrastructure, and cloud platforms. David has a strong background in designing distributed systems for compute-intensive workloads, focusing on performance optimization and scalability.

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Anton Wolkov

MLOps Developer
UTC+01:00
Israel
Toptal Member Since December 14, 2022

Anton specializes in big data infrastructure architecture and machine learning operations (MLOps). He worked with many high-profile Fortune 500 companies and startups. He holds a bachelor's degree in computer science and has experience in big data infrastructure development and DevOps. He can get you started with data lakes, onboard data scientists, automation, and create production-grade self-service batch pipelines. Anton prefers using Airflow, Presto, TensorFlow, Kubernetes, and Grafana.

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Dr. Vladyslav Libov

MLOps Developer
UTC+01:00
Germany
Toptal Member Since July 22, 2025

Vladyslav is a senior consultant specializing in artificial intelligence, machine learning operations (MLOps), cloud technologies, software development, and quantum computing. He has a broad academic and industry experience, with projects at large financial institutions, top consultancy firms, rail operators, and other enterprise companies. Vladyslav has a strong background in artificial intelligence and machine learning, probability theory and statistics, software development, and physics.

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Denis Volk

MLOps Developer
UTC+01:00
Switzerland
Toptal Member Since March 18, 2020

Denis is a senior full-stack AI engineer and data scientist with a PhD in mathematics and a specific focus on AI reliability and security. He's an expert in deploying modern generative AI in production end-to-end, and his skills include AI agents, ML, MLOps, big data, data analytics, and cloud infrastructure. Denis's previous industry experience spans probabilistic risk modeling, forecasting, computer vision, and team leadership across education, retail, manufacturing, and talent sourcing.

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Stefan Mićić

MLOps Developer
UTC+01:00
Serbia
Toptal Member Since July 20, 2022

Stefan is an experienced machine learning and machine learning operations (MLOps) engineer with hands-on experience in big data systems. His almost a decade of expertise is supplemented by a master's degree in artificial intelligence. Stefan has worked on problems such as object detection, classification, sentiment analysis, named-entity recognition (NER), and recommendation systems. He is always looking forward to being involved in end-to-end machine learning projects.

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Merna Hesham

MLOps Developer
UTC+02:00
Egypt
Toptal Member Since August 28, 2026

Merna is an AI engineer and technical project manager with six years of experience in machine learning and MLOps for Valeo, Weight Watchers US, Accenture, and Egypt's Ministry of Communications and IT. She works across the full delivery path, scoping and resourcing the project, building the pipeline in Python, Docker, Kubernetes, and MLflow, then running it on GCP or AWS. Merna has trained over 500 engineers in the same practices she deploys.

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Anzor Gozalishvili

MLOps Developer
UTC+04:00
Georgia
Toptal Member Since November 17, 2021

Anzor is a senior machine learning and MLOps engineer with 8+ years of experience building production ML systems, data pipelines, and cloud infrastructure. He has designed ML platforms with Dagster, W&B, MLflow, Spark, AWS, and Azure and built agentic systems using LangGraph, RAG, vector search, and MCP. His background spans NLP, document intelligence, deep learning, bioinformatics, and large-scale model training. He is also a published researcher in NLP and computational biology.

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Pritha Guha

MLOps Developer
UTC+05:00
India
Toptal Member Since March 4, 2026

Pritha is a senior MLOps, SRE, and cloud platform engineer with 11+ years building production infrastructure on AWS, GCP, and Kubernetes. Experienced in fast-paced SaaS startups and large enterprises, she owned end-to-end infrastructure, including MLOps stack (Kubeflow, KubeRay, KServe, GPU, RAG pipelines, agentic AI, Amazon Bedrock, Gemini). She’s cut costs by 60% and Kubernetes upgrade downtime by 97%, and increased PostgreSQL throughput by 40%. She's led SOC 2 Type II compliance end-to-end.

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Toptal in the press

... allows corporations to quickly assemble teams that have the right skills for specific projects.

Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.

Our clients
Creating an app for the game
Conor Kenney
Creating an app for the game
Leading a digital transformation
Elmar Platzer
Leading a digital transformation
Building a cross-platform app to be used worldwide
Building a cross-platform app to be used worldwide
Drilling into real-time data creates an industry game changer
Drilling into real-time data creates an industry game changer
Testimonials

How to Hire Dedicated MLOps Developers Through Toptal

1

Talk to One of Our Client Advisors

A Toptal client advisor will work with you to understand your goals, technical needs, and team dynamics.
2

Work With Hand-selected Talent

Within days, we’ll introduce you to the right MLOps specialist for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new MLOps programmer for a trial period (pay only if satisfied), ensuring they’re the right fit before starting the engagement.

EXCEPTIONAL TALENT

How We Source the Top 3% of MLOps Developers

Our name “Toptal” comes from Top Talent—meaning we constantly strive to find and work with the best from around the world. Our rigorous screening process identifies experts in their domains who have passion and drive.

Of the thousands of applications Toptal sees each month, typically fewer than 3% are accepted.

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FAQs

  • Typically, you can hire MLOps developers with Toptal in about 48 hours. For larger teams of talent or full end-to-end project delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

    Once you select your MLOps programmer, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

  • To hire the right MLOps developer, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect MLOps developers for your project.

  • At Toptal, we thoroughly screen our dedicated MLOps developers to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

    In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

    When you hire MLOps specialists with Toptal, you’ll always work with world-class, custom-matched MLOps developers ready to help you achieve your goals.

  • You can hire MLOps programmers on an hourly, part-time, or full-time basis. Toptal can also manage the project end-to-end based on your specific requirements as part of our Consulting and Services offerings. Whether you hire a MLOps developer for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our MLOps developers can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your MLOps developer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another MLOps developer who may be a better fit and with whom we will begin a second, no-risk trial.

Toptal Lets You Hire Fast,
With Unparalleled Success

  • Trusted Talent Only

    Trusted Talent Only

    Our talent network is composed of thoroughly vetted professionals who ramp up quickly, function as essential team members, and deliver results.

  • Precise Matching

    Precise Matching

    Our experienced talent matchers specialize in identifying talent that fits your needs. They work to understand your exact requirements and hand-select the best professionals for your project.

  • Seamless Hiring

    Seamless Hiring

    We handle all aspects of billing, payments, and NDAs, streamlining the hiring process so you can focus on innovation, not overhead.

  • No-risk Trial Period

    No-risk Trial Period

    We want to be sure your engagement is a total success, so we offer a no-risk trial period. Work with your new hire for up to two weeks and pay only if you’re satisfied.

  • Effortless Scaling

    Effortless Scaling

    We help you scale your team up or down as needed, with quick and efficient hiring in under 48 hours.

  • Flexible Engagements

    Flexible Engagements

    Our flexible engagement models allow you to choose the engagement type that suits your needs and adjust it anytime: hourly, part time, or full time.

Top MLOps Developers Are in High Demand.

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