Toptal is a marketplace for top scikit-learn developers, engineers, programmers, coders, architects, and consultants. Top companies and start-ups choose Toptal scikit-learn freelancers for their mission-critical software projects.
We've been blown away by the level of talent we've been able to hire through Toptal.
Scikit-Learn Developer
Vince is an engineer with expertise in machine learning and robotics. He has experience developing autonomous systems and artificial intelligence with empha...sis on perception, decision making, and control. He is fluent in Python and C++ and has worked in a variety of projects as a consultant, helping clients achieve their goal.
Scikit-Learn Developer
Along with having earned 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 for computer vision. Dilip has an eye for detail which helps in identifying data biases and developing models for image classification of fine-grained data, object detection, text recognition, image translation, and face recognition.
Scikit-Learn Developer
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 b...uild 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 Developer
After a successful career developing Oracle applications, Dwight returned to his first love (AI programming) and retooled himself as a Python expert and dat...a scientist. He further honed his skills by developing PyOraEBS (an SQLAlchemy-based Python framework) and by serving as a Python data science expert in the field of algorithmic trading. Dwight is living his dream by doing what he loves and interfacing with diverse people and cultures.
Scikit-Learn Developer
Pau has over seven years of experience in quantitative finance and mobile gaming. He combines a deep understanding of statistics and machine learning with e...xcellent Python skills. He enjoys extracting information from big datasets, combining classical statistical methods and machine learning techniques. He has built software for diverse problems like asset pricing, customer lifetime value prediction or automatic art generation for mobile games.
Scikit-Learn Developer
Cosmin interned at Amazon and Google, working on high-scalable, distributed systems; working mostly on Java back-end and other small scripts in Python. He i...s currently working 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 Developer
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 progra...mming (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 Developer
Daniel is a secure cloud and software development professional who takes real pride and joy in his work. Spending the last two decades in secure software de...velopment from hybrid native to the back-end, data science to DevSecOps and cybersecurity to the cloud, his rare combination of well-rounded expertise is his industry known ace in the deck. Customer satisfaction is his core value, and he can't wait to discuss your project needs.
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Get StartedWe 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.
Depending on availability and how fast you can progress, you could start your no-risk trial with a scikit-learn developer within 48 hours of signing up. Most of our engagements start within 2 weeks of discussing your project with us.
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.
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.
Hire in under 2 weeks and scale your team up or down as needed, no strings attached.
We handle all aspects of billing, payments, and NDA’s. Let us take care of the overhead while you focus on building great products.
Choose the engagement type that suits your needs — hourly, part-time, or full-time — with the ability to change anytime.
Focus on your project and enjoy support from your dedicated account executive and expert talent matcher.
Top Scikit-Learn Developers are in high demand.
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