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Francis Marti

Freelance Jupyter Developer
UTC-05:00
United States
Toptal Member Since June 30, 2025

Francis is an experienced software engineer and machine learning specialist with 20+ years of experience in the tech industry. He has delivered machine learning energy, finance, and insurance solutions, leveraging Python, TensorFlow, XGBoost, FastAPI, and distributed systems. Francis is an expert in large language models (LLMs) integration and real-time inference at scale.

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Radu Marian

Freelance Jupyter Developer
UTC-05:00
United States
Toptal Member Since December 31, 2024

Radu is a senior GenAI and knowledge graph solution architect delivering solutions for cybersecurity, investments, agriculture, and economy domains. For over 25 years, he has accomplished numerous proofs of concept and pilot projects, led standardization efforts at OASIS and ITU-T, and was granted patents for inventions in cybersecurity and enterprise knowledge management. Radu holds a master's degree in computer science from UNC Charlotte.

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Dan Diamond

Freelance Jupyter Developer
UTC-05:00
United States
Toptal Member Since July 13, 2022

Dan is the director of management information systems at a mental health center of 500 employees, overseeing the organization's data warehousing, data analysis, and BI resources. He specializes in engineering data pipelines with Alteryx, Python, PHP, and BI tools. Dan implemented predictive analytics systems using Python and R in the areas of employee sentiment, patient outcomes, and crisis intervention.

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Matthew Mitsui

Freelance Jupyter Developer
UTC-05:00
United States
Toptal Member Since November 30, 2017

Matthew is a diligent data scientist with over eight years of experience in machine learning, research, statistics, natural language processing, behavioral modeling, and software development. He helps companies build data-driven products to analyze user behavior and enable users to drive their brands and success.

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James Lambert

Freelance Jupyter Developer
UTC+00:00
United Kingdom
Toptal Member Since November 7, 2022

After his PhD, James worked as a private tutor for 10 years. He founded Inspired Minds in 2016, which ran programming and robotics-themed events for children and adults. James and his business partner raised seed funding to explore space propulsion concepts, and Pulsar Fusion was born in 2019. James splits his time between programming and running Pulsar and its many academic collaborations and hardware projects. He loves getting involved in original projects, often based on hardware.

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Shubham Anilkumar Jain

Freelance Jupyter Developer
UTC+00:00
United Kingdom
Toptal Member Since April 14, 2022

Shubham is a Ph.D. student and research assistant in the Computational Privacy Group at Imperial College London. He is an expert in deep learning, computer vision, security, privacy in machine learning, and privacy-preserving analytics. Shubham has also worked extensively as a full-stack engineer, developing a wide range of applications, from a prototype for a startup to a large-scale system intended for nationwide deployments.

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Cody Nash

Freelance Jupyter Developer
UTC+01:00
Slovakia
Toptal Member Since May 8, 2017

Cody has experience in a range of fields from geobiology and medical genetics to data analytics for commercial clients. Along with validating genetic tests in a private clinic and developing software infrastructure to support analytics (including customizing Jupyter environments on Kubernetes clusters), he has assisted clients with experiment planning, data exploration, and model deployment. Cody's preferred languages include Python and R.

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Anna Tshngryan

Freelance Jupyter Developer
UTC+01:00
Netherlands
Toptal Member Since June 30, 2022

Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.

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Bartosz Telenczuk

Freelance Jupyter Developer
UTC+01:00
France
Toptal Member Since November 6, 2019

Along with holding a PhD degree in computational biophysics, Bartosz has more than a decade of experience in programming and data modeling. Throughout his career, he has been active in the data science community and contributed to many open source libraries. He helps companies and startups from diverse disciplines to gain value from their data through machine learning and AI. Bartosz is an excellent communicator, teacher, and public speaker.

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Ionut Grigorescu

Freelance Jupyter Developer
UTC+02:00
Romania
Toptal Member Since March 21, 2016

Ionut is a computer engineer who started working as a software developer in 2005, during his 3rd year at university. He's worked for companies such as Bitdefender, IBM, and Lenovo. His areas of expertise include Linux, C, C++, Python, and data science. Ionut's hobbies are reading, martial arts, playing the piano, and learning Chinese and traditional Chinese medicine.

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Ilmira Terpugova

Freelance Jupyter Developer
UTC+03:00
Russia
Toptal Member Since May 7, 2019

Ilmira is a data scientist with strong mathematical and programming background. She is hard-working, responsible and conscientiously follows deadlines. Ilmira produces valuable findings while also providing thorough, concise explanations and visualizations of the results.

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... 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.

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How to Hire Jupyter 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 Jupyter developer for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new Jupyter 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 Jupyter 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 Jupyter 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 Jupyter 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 Jupyter 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 Jupyter developers for your project.

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

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

  • We make sure that each engagement between you and your Jupyter 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 Jupyter 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 Jupyter Developers Are in High Demand.

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