How are Toptal Scikit-Learn developers different?

At Toptal, we thoroughly screen our Scikit-Learn developers to ensure we only match you with talent of the highest caliber. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. You’ll work with engineering experts (never generalized recruiters or HR reps) to understand your goals, technical needs, and team dynamics. The end result: expert vetted talent from our network, custom matched to fit your business needs.

Can I hire Scikit-Learn developers in less than 48 hours through Toptal?

Depending on availability and how fast you can progress, you could start working with a Scikit-Learn developer within 48 hours of signing up.

What is the no-risk trial period for Toptal Scikit-Learn developers?

We make sure that each engagement between you and your Scikit-Learn 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 expert who may be a better fit and with whom we will begin a second, no-risk trial.

Hire the Top 3% of Freelance Scikit-Learn Developers

Toptal is a marketplace for top Scikit-Learn developers, engineers, programmers, coders, architects, and consultants. Top companies and startups choose Toptal Scikit-Learn freelancers for their mission-critical software projects.

Hire a Top Scikit-Learn Developer Now

No-Risk Trial, Pay Only If Satisfied.

Trusted by leading brands and startups

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Hire Freelance Scikit-Learn Developers and Engineers

View Cosmin

Cosmin Rusu

Freelance Scikit-Learn Developer

SwitzerlandToptal Member Since December 6, 2017

Cosmin worked at Amazon, Google, and Apple on highly-scalable, distributed systems, and machine learning focused on NLP (Siri team). He worked for a startup called Kuende, writing Scala and Go microservices on top of Google Cloud. Cosmin has a strong background in advanced algorithms and data structures in C/C++ and is very passionate about machine learning.

Scikit-Learn Data Engineering Docker Full-stack Web Development Stripe Checkout GitHub React Ruby on Rails (RoR)Ruby C++Ruby on Rails 5 Java 8 + more

View Matthew

Matthew Alhonte

Freelance Scikit-Learn Developer

United StatesToptal Member Since August 21, 2018

Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.

Scikit-Learn Statistical Data Analysis Exploratory Data Analysis Statistical Analysis Python 3 Python Pandas SQL Time Series Machine Learning Data Visualization Data Analysis Data Analytics + more

View Daniel

Daniel Yinanc

Freelance Scikit-Learn Developer

CanadaToptal Member Since February 6, 2019

Daniel is a data scientist and AI/ML engineer with over a decade of experience in the field, mainly specializing in data science and machine learning domains with a particular emphasis on building high-security ML platforms. He has worked for over a decade as a data scientist, application security architect, and principal consultant specializing in data science, cybersecurity, and machine learning.

Scikit-Learn Machine Learning Unit Testing Functional Testing AWS DevOps Cloud Performance Testing Cybersecurity Application Security Information Security DevSecOps DevOps Security + more

View Santiago

Santiago Hernández

Freelance Scikit-Learn Developer

ArgentinaToptal Member Since January 29, 2019

Santiago is a machine learning engineer keen on solving large-scale data, optimization, and engineering problems. He has led a team of data scientists to build products that predict the value of over 300 million users worldwide to optimize the advertisement of world-leading companies. Santiago considers it a serious undertaking when developing elegant, efficient, and well-designed software systems.

Scikit-Learn Python 3 Python SQL Pandas PostgreSQL REST APIs NumPy + more

View Vince

Vince Jankovics

Freelance Scikit-Learn Developer

United KingdomToptal Member Since October 18, 2018

Vince is an accomplished engineer specializing in machine learning and robotics. He excels in designing autonomous systems, leveraging AI to enhance perception and control. Fluent in Python and C++, Vince has a successful track record as a consultant, turning client goals into results. His passion for innovation drives him to continuously explore new technologies.

Scikit-Learn Data Analysis Data Visualization Pandas Deep Learning Robotics Machine Learning Artificial Intelligence (AI)Linux OpenCV Docker PyTorch C+++ more

View Dwight

Dwight Dale Cummings, M.Sc.

Freelance Scikit-Learn Developer

JamaicaToptal Member Since June 18, 2020

Dwight, an experienced Python software and data engineer, has built a diverse career marked by a passion for problem-solving and learning. With computer science and MIS degrees, he's held roles such as Python RPA engineer, data engineer, and Oracle consultant. Dwight's skills include Python, SQL, PL/SQL, and PostgreSQL. He excels in industries like healthcare, finance, and telecom. He is warm, inquisitive, and an outstanding communicator.

Scikit-Learn Oracle PL/SQL XPath Deep Learning NumPy Pandas Flask SQLAlchemy Beautiful Soup Scrapy SQL Python ETL + more

View Dilip

Dilip Mathew Thomas

Freelance Scikit-Learn Developer

IndiaToptal Member Since April 11, 2019

Along with earning a PhD in computer science and engineering, Dilip has over a decade of experience in the industry. Since 2015, he's been focusing on projects related to machine learning and deep learning. Dilip has an eye for detail which helps in working closely with domain scientists and improving the accuracy and reliability of models for fine-grained image classification, object detection and segmentation, natural language processing, time-series forecasting, and generative AI.

Scikit-Learn Python Machine Learning Keras Deep Learning Computer Vision Artificial Intelligence (AI)Python 3 Python 2 Algorithms Natural Language Processing (NLP)Pandas Programming + more

View Pau

Pau Labarta Bajo

Freelance Scikit-Learn Developer

SpainToptal Member Since April 24, 2019

Pau is a data scientist and ML engineer with over eight years of experience. He has a passion for building ML-based solutions, from development to deployment. He loves transforming an idea into a model and a model into an API or product. Pau has worked on different problems: financial derivative pricing, digital marketing analytics, deep learning for art generation, or demand prediction for online shopping. His background is in pure mathematics, and he has strong coding skills in Python.

Scikit-Learn Python SQL Flask Machine Learning Keras TensorFlow Tableau Natural Language Processing (NLP)Statistics Computer Vision OpenCV Quantitative Finance + more

View Ken

Ken Mendes

Freelance Scikit-Learn Developer

BelgiumToptal Member Since August 16, 2019

Ken is a full-stack Python developer who has broad experience in different IT roles, including mission-critical operations. He enjoys challenges, algorithms, and distributed systems, and follows a university education in data science and artificial intelligence. Ken cherishes knowledge, responsibility, and integrity, and brings these qualities to all his jobs.

Scikit-Learn Python 3 SQL Bash Linux Python + more

Discover More Scikit-Learn Developers in the Toptal Network

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THE TOPTAL ADVANTAGE

98% of Toptal clients choose to hire our talent after a risk-free trial.

Toptal's screening and matching process ensures exceptional talent are matched to your precise needs.

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THE TOPTAL ADVANTAGE

98% of Toptal clients choose to hire our talent after a risk-free trial.

Toptal's screening and matching process ensures exceptional talent are matched to your precise needs.

Start Hiring

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

Leading a digital transformation

Building a cross-platform app to be used worldwide

Drilling into real-time data creates an industry game changer

Testimonials

Tripcents wouldn't exist without Toptal. Toptal Projects enabled us to rapidly develop our foundation with a product manager, lead developer, and senior designer. In just over 60 days we went from concept to Alpha. The speed, knowledge, expertise, and flexibility is second to none. The Toptal team were as part of tripcents as any in-house team member of tripcents. They contributed and took ownership of the development just like everyone else. We will continue to use Toptal. As a startup, they are our secret weapon.

Brantley Pace

CEO & Co-Founder

I am more than pleased with our experience with Toptal. The professional I got to work with was on the phone with me within a couple of hours. I knew after discussing my project with him that he was the candidate I wanted. I hired him immediately and he wasted no time in getting to my project, even going the extra mile by adding some great design elements that enhanced our overall look.

Paul Fenley

Director

The developers I was paired with were incredible -- smart, driven, and responsive. It used to be hard to find quality engineers and consultants. Now it isn't.

Ryan Rockefeller

CEO

Toptal understood our project needs immediately. We were matched with an exceptional freelancer from Argentina who, from Day 1, immersed himself in our industry, blended seamlessly with our team, understood our vision, and produced top-notch results. Toptal makes connecting with superior developers and programmers very easy.

Jason Kulik

Co-Founder

As a small company with limited resources we can't afford to make expensive mistakes. Toptal provided us with an experienced programmer who was able to hit the ground running and begin contributing immediately. It has been a great experience and one we'd repeat again in a heartbeat.

Stuart Pocknee

Principal

How to Hire Scikit-Learn Developers through Toptal

Talk to One of Our Industry Experts

A Toptal director of engineering will work with you to understand your goals, technical needs, and team dynamics.

Work With Hand-Selected Talent

Within days, we'll introduce you to the right Scikit-Learn developer for your project. Average time to match is under 24 hours.

The Right Fit, Guaranteed

Work with your new Scikit-Learn developer for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

Find Experts With Related Skills

Access a vast pool of skilled developers in our talent network and hire the top 3% within just 48 hours.

SciPy Developers Keras Developers TensorFlow Developers PyTorch Developers NumPy Developers Machine Learning Engineers Data Miners Algorithm Developers

FAQs

How are Toptal Scikit-Learn developers different?
At Toptal, we thoroughly screen our Scikit-Learn developers to ensure we only match you with talent of the highest caliber. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. You’ll work with engineering experts (never generalized recruiters or HR reps) to understand your goals, technical needs, and team dynamics. The end result: expert vetted talent from our network, custom matched to fit your business needs.
Can I hire Scikit-Learn developers in less than 48 hours through Toptal?
Depending on availability and how fast you can progress, you could start working with a Scikit-Learn developer within 48 hours of signing up.
What is the no-risk trial period for Toptal Scikit-Learn developers?
We make sure that each engagement between you and your Scikit-Learn 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 expert who may be a better fit and with whom we will begin a second, no-risk trial.

Tap Into World-Class Talent

Trusted Experts Only
All of our talent are seasoned experts who ramp up quickly, readily contribute as core team members, and work with you to minimize onboarding time.
The Right Fit
We have a knack for matching you with the right fit. Start working with your new hire on a no-risk trial period, paying only if satisfied.
Scale as Needed
Hire talent within 48 hours and scale your team up or down as needed, no strings attached.
Seamless Hiring
We handle all aspects of billing, payments, and NDA’s. Let us take care of the overhead while you focus on building great products.
Flexible Engagements
Choose the engagement type that suits your needs — hourly, part-time, or full-time — with the ability to change anytime.
Expert Talent Matching
Focus on your project and enjoy support from your dedicated account executive and expert talent matcher.