Hire AWS Machine Learning Engineers

Hire the Top 3% of AWS Machine Learning Engineers

Hire vetted AWS machine learning engineers on demand. Leading companies choose AWS Machine Learning freelancers from Toptal for their most important development projects.

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Find and hire Top AWS Machine Learning Engineers worldwide. Simply click on your preferred time zone on the map.

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Mike Ree

AWS Machine Learning Engineer
UTC-08:00
United States
Toptal Member Since October 26, 2018

For over 15 years, Mike has offered search, analytics, real-time distributed big data processing, and custom natural language processing (NLP) solutions for over fifty Fortune 500 companies. His clients have included government agencies, airlines, banks, law firms, pharmaceutical companies, medical insurance agencies, as well as some of the biggest names in technology.

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Halim Abbas

AWS Machine Learning Engineer
UTC-08:00
United States
Toptal Member Since October 24, 2019

Halim is a high-tech innovator who's spearheaded world-class data science projects at game-changing tech companies like eBay and Teradata. Formally educated in machine learning, his professional expertise spans information retrieval, natural language processing, and big data. Halim has a proven track record of applying state-of-the-art data science techniques across industry verticals such as eCommerce, web and mobile services, airline, and biopharma.

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Salman Ahmed

AWS Machine Learning Engineer
UTC-08:00
United States
Toptal Member Since August 11, 2022

Salman is a principal AI engineer with 13+ years of experience designing and implementing AI solutions in top Fortune 500 companies (Google, CVS Health, and Moss). He's skilled in designing and developing end-to-end solutions that align with business objectives. Salman is an effective leader who has led teams of 15+ and delivered estimated cost savings of $18 million per quarter.

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Brian Weber

AWS Machine Learning Engineer
UTC-06:00
United States
Toptal Member Since May 23, 2024

Brian is a principal engineer with a solid architectural and development background in enterprise data management, services, and mobile development. With expertise in data and application security, Brian has worked with many Fortune 100 companies to achieve their technology objectives. Brian specializes in automating and verifying large-scale cloud application integration and cloud data migrations across varied data sources in high-availability scenarios and business continuity.

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Abay Bektursun

AWS Machine Learning Engineer
UTC-06:00
United States
Toptal Member Since July 27, 2022

Abay is an AI engineer and tech leader specializing in computer vision and scalable AI systems. At Apple, he led the development of a global, multi-million-dollar computer vision product. He drove the technical vision as CTO and co-founder of Gridlines (raised $1 million). At Docme.ai, he created models measuring vital signs via an iPhone camera. At Copycopter.ai, he developed scalable AI for video and image generation. Abay leads a community of over 3,000 AI enthusiasts.

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Samuel Grummons

AWS Machine Learning Engineer
UTC-05:00
United States
Toptal Member Since June 3, 2025

Samuel is a technical leader in digital experience, data, and AI, with hands-on Python development experience driving machine learning and analytics solutions. He is certified in AWS, Azure, Cisco, and Red Hat, holds cloud and networking patents, and has worked with the US Army. Samuel is known for breaking down complex problems, building scalable systems, and leading high-impact, ROI-driven teams. At IBM, he drove 35% capital savings by implementing a telemetry-driven strategy globally.

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Lalu Prasad Lenka

AWS Machine Learning Engineer
UTC+00:00
Ireland
Toptal Member Since July 12, 2022

Lalu is a senior data scientist at AWS and has a master's degree in data science from Trinity College Dublin. He has 5+ years of experience formulating research-driven approaches to solve challenging business problems using data and state-of-the-art machine learning algorithms. Lalu has deployed scalable ML solutions on cloud platforms like AWS and Azure and on-premise Kubernetes clusters. He presented compelling insights to many stakeholders, helping them make data-driven decisions.

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Ajit Rajdeosingh

AWS Machine Learning Engineer
UTC+01:00
Luxembourg
Toptal Member Since January 5, 2022

Ajit has over 13 years of experience in the IT industry with expertise in cloud architecture, DevOps, system testing, and designing and building large-scale enterprise and service provider IP/MPLS networks. He has in-depth knowledge of building and operating complex IT systems with distributed architecture. His roles have included network security architect, network architect, software developer, and solutions architect.

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Andrei Dore

AWS Machine Learning Engineer
UTC+02:00
Romania
Toptal Member Since May 25, 2020

Andrei is a machine learning engineer with over six years of experience. His projects have included computer vision, natural language processing, time series forecasting, classification, and regression. Andrei has deployed machine learning models on AWS cloud and developed REST services for machine learning models.

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Pritha Guha

AWS Machine Learning Engineer
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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Joslyn Lim

AWS Machine Learning Engineer
UTC+08:00
Malaysia
Toptal Member Since September 28, 2022

Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skillset in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.

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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 AWS Machine Learning Specialists 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 certified AWS machine learning engineer for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new AWS machine learning engineer 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 AWS Machine Learning Engineers

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 AWS machine learning engineers 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 AWS machine learning engineer, 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 AWS machine learning specialist, 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 AWS machine learning engineers for your project.

  • At Toptal, we thoroughly screen our certified AWS machine learning engineers 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 certified AWS machine learning engineers with Toptal, you’ll always work with world-class, custom-matched AWS machine learning engineers ready to help you achieve your goals.

  • You can hire AWS machine learning engineers 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 AWS machine learning engineer 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 AWS machine learning engineers can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your AWS machine learning engineer 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 AWS machine learning engineer 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 AWS Machine Learning Engineers Are in High Demand.

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