Thoughtworks · 13 hours ago
Senior Machine Learning Engineer
United States
Full-time
Remote
Senior Level
$143K/yr - $216K/yrThoughtworks is a leading technology consultancy that is revolutionizing tech through impactful work. The Senior Machine Learning Engineer will build, maintain, and test the architecture for managing machine learning applications, ensuring timely delivery and collaboration with data scientists and engineers.
AppsConsultingInformation TechnologyOpen SourceProfessional ServicesSoftwareWeb Development
Responsibilities
You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security
You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements
Qualification
Required
You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code
You are proficient in scripting languages such as Python or Shell for automation and task streamlining
You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications
You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc
You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services
You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
You don't shy away from risks or conflicts, instead you take them on and skillfully manage them
You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
You enjoy influencing others and always advocate for technical excellence while being open to change when needed
Company
Thoughtworks
Thoughtworks is a technological firm that combines strategy, design, and software engineering.
Founded in 1993
10001+ employees
H1B Sponsorship
Thoughtworks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (38)
2024 (44)
2023 (51)
2022 (116)
2021 (62)
2020 (32)
Funding
Current Stage
Public CompanyTotal Funding
$748MKey Investors
Schroder Ventures
2024-08-05Acquired
2021-09-15IPO
2021-01-14Private Equity· $720M
Leadership Team
Mike Sutcliff
Chief Executive Officer
Rebecca Parsons
Chief Technology Officer Emerita
Recent News
2026-01-20
2026-01-07
Company data provided by crunchbase