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Hire the Top 3% of Reinforcement Learning Developers

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

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Clients rate Toptal reinforcement learning developers 4.9 / 5.0 on average based on 570 reviews.
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Ahmet Hamza Emra

Reinforcement Learning Developer
UTC-08:00
Canada
Toptal Member Since July 10, 2020

Ahmet is a skilled machine learning engineer with expertise in deep learning and reinforcement learning. He has worked on projects in academia and industry in a variety of team and client settings. One of his most exciting projects was in collaboration with NASA. Ahmet is currently working on research in advanced reinforcement learning.

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Daniel Fernandez-Guarda

Reinforcement Learning Developer
UTC-05:00
Canada
Toptal Member Since June 19, 2026

Daniel is a senior ML engineer with 6+ years of experience in agentic AI architecture and model research for clients including Camunda, Datavalet, and Elsevier. His primary expertise is in reinforcement learning, retrieval-augmented generation (RAG), and time-series forecasting for large-scale production environments, where he thrives in high-throughput and autonomous decision-making systems. Daniel has achieved a 10x improvement in workflow efficiency while at Camunda.

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Tety Loscutoff

Reinforcement Learning Developer
UTC-05:00
Canada
Toptal Member Since June 17, 2022

Tety is a technology entrepreneur who strives to provide clients with end-to-end service when creating new software solutions or revamping old ones. Some of the projects she has completed include financial and accounting systems, AI-powered document processing, forecasting, and anomaly detection. Tety has worked for clients across various countries and industries, including energy, government, education, and biotechnology.

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Samuel López Santamaría

Reinforcement Learning Developer
UTC+00:00
Spain
Toptal Member Since September 23, 2022

Samuel is a seasoned data scientist experienced in building intelligent systems. He worked on solutions to predict aircraft delays for Lufthansa and upcoming graffiti on trains for Deutsche Bahn. He has also led an Agile team researching applications of reinforcement learning for autonomous vehicles. Samuel has deep expertise working with Python and has engaged in all stages of the data science pipeline, from data engineering to model training and deployment to the cloud (Azure, GCP).

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Akash Singh

Reinforcement Learning Developer
UTC+01:00
Belgium
Toptal Member Since November 25, 2025

Akash is a senior ML/AI expert with 5+ years of industry and 6+ years of academic experience, holding a doctorate in Trustworthy AI. He specializes in deep learning, deep reinforcement learning (RL), computer vision, NLP, and data science tasks, including churn prediction, fraud detection, classification, and regression. Akash has led teams and delivered full end-to-end model development, deployment, and productionization.

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Ariel Kwiatkowski

Reinforcement Learning Developer
UTC+01:00
Switzerland
Toptal Member Since August 14, 2019

Ariel is an experienced developer with a strong focus on machine learning algorithms for reinforcement learning, graph analytics, image classification, and feature engineering. His physics background makes math-heavy topics a core strength, along with hands-on experience with machine learning and software engineering. Ariel has obtained his PhD in the application of AI to crowd simulation.

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Redzhep Mehmedov

Reinforcement Learning Developer
UTC+01:00
Germany
Toptal Member Since January 20, 2026

Redzhep is an expert in computer vision and reinforcement learning. He has led teams in robotics companies for four years. He has crafted numerous AI applications for diverse global scenarios, showcasing strategic innovation. Redzhep is a valuable addition to any team, bringing extensive experience and expertise.

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Laura Tolosi

Reinforcement Learning Developer
UTC+02:00
Bulgaria
Toptal Member Since February 4, 2019

Laura has a Ph.D. from the Max Planck Institute for Informatics, Germany, in the field of computational biology, focused on cancer biomarker detection using statistics and machine learning. She worked on projects in the field of natural language processing such as named entity recognition, sentiment analysis, fake news detection. Recently, she has worked on applying reinforcement learning methodology for trading financial instruments.

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Aziz Alfoudari

Reinforcement Learning Developer
UTC+03:00
Kuwait
Toptal Member Since September 30, 2020

Aziz is a senior software developer with over 13 years of experience covering DevOps engineering, systems integration, back-end development, and, more recently, reinforcement learning. He has worked in large corporations, with startups, and as a freelance. Aziz builds high-quality software with close attention to the big picture and the smallest details.

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Aydar Mynbay

Reinforcement Learning Developer
UTC+05:00
Kazakhstan
Toptal Member Since November 27, 2024

Aydar is a machine learning engineer with deep expertise in reinforcement learning, demand forecasting, and recommendation systems. He has worked with global companies such as Adidas and PUBG and co-founded an AI R&D startup focused on optimizing last-mile delivery. Aydar is also skilled in back-end development, MLOps, and data engineering. He holds a degree from the Korea Institute of Science and Technology (KAIST), ranked among the top 50 universities globally by QS World Rankings.

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Tanisha Bhayani

Reinforcement Learning Developer
UTC+05:00
India
Toptal Member Since March 30, 2025

Tanisha is an AI researcher and developer with over eight years of experience. She likes to work on smart, simple, and sophisticated technology. This sums up the vast amount of knowledge required to turn projects into working products. She likes to train deep neural networks and understands them well. Tanisha has done some innovative work she is proud of and continues to do so. She tries her best to contribute her expertise to the project she works on.

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

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How to Hire Reinforcement Learning Programmers 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 dedicated reinforcement learning developer for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new reinforcement learning developer 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 Reinforcement Learning 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 reinforcement learning 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 reinforcement learning developer, 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 reinforcement learning programmer, 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 reinforcement learning developers for your project.

  • At Toptal, we thoroughly screen our dedicated reinforcement learning 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 dedicated reinforcement learning developers with Toptal, you’ll always work with world-class, custom-matched reinforcement learning developers ready to help you achieve your goals.

  • You can hire reinforcement learning developers 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 reinforcement learning 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 reinforcement learning developers can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your reinforcement learning 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 reinforcement learning 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 Reinforcement Learning Developers Are in High Demand.

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