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Machine Learning Manager Jobs in Chicago, IL (NOW HIRING)

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Develop large-scale distributed training pipelines to manage datasets and complex models * Build ...

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Develop large-scale distributed training pipelines to manage datasets and complex models * Build ...

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Develop large-scale distributed training pipelines to manage datasets and complex models * Build ...

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Practical experience managing data processing workflows using Apache Spark and Airflow

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

Hands-on experience applying machine learning and deep learning to vision data, preferably direct ... management * Knowledge of H264 & MPEG4 video standards, and experience with hardware compression ...

The role involves designing and deploying machine learning models, collaborating with trading teams, and managing data for enhanced trading performance. Responsibilities : • Design and deploy ...

Design and deploy machine learning models to enhance trading performance across various asset ... Manage data acquisition, preprocessing, and feature engineering for structured and unstructured ...

Chicago, IL Job Overview As a machine learning scientist in our clients innovative and fast-paced ... Oand time management skills to handle multiple competing demands. Education & Experience * M.S. or ...

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Machine Learning Manager information

See Chicago, IL salary details

$52.5K

$84.2K

$121.6K

How much do machine learning manager jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning manager in Chicago, IL is $84,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $95,300.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Chicago, IL? The most popular types of Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Learning Manager jobs? Cities near Chicago, IL with the most Machine Learning Manager job openings:
Applied Machine Learning Manager/MLOps

Applied Machine Learning Manager/MLOps

Motion Recruitment

Chicago, IL • On-site

Full-time

Posted 14 days ago


Job description

A leading technology-driven organization in the industrial services and infrastructure sector is seeking a Manager to lead the next generation of AI and machine learning innovation. This role combines people leadership, technical strategy, and hands-on oversight of enterprise-scale machine learning initiatives that influence operational performance, intelligent automation, forecasting, and decision-making across the business.
You'll lead a team of experienced ML scientists and engineers while partnering with senior stakeholders to identify opportunities where predictive and generative AI can create measurable value. Working across modern cloud data platforms, MLOps ecosystems, deep learning frameworks, and large language model technologies, you'll play a key role in shaping both the organization's AI roadmap and its delivery capabilities.

Required Skills & Experience
  • Proven experience leading machine learning teams while delivering production-grade AI and ML solutions at enterprise scale.
  • Strong expertise in Python, SQL, machine learning frameworks (PyTorch, TensorFlow, scikit-learn), and modern MLOps practices including MLflow, model monitoring, and deployment automation.
  • Experience building and operationalizing machine learning solutions within cloud and containerized environments using technologies such as Kubernetes, Docker, Git, APIs, and large-scale data platforms.
Desired Skills & Experience
  • Experience developing solutions leveraging large language models (LLMs), transformer architectures, multimodal AI, or other generative AI technologies.
  • Knowledge of optimization, simulation, decision science, forecasting, or advanced statistical methodologies such as Bayesian inference.
  • Experience building business-facing analytical applications and model visualization tools using React, Streamlit, or similar frameworks.
Daily Responsibilities
  • Hands-On Engineering: 70%
  • Team Collaboration & Cross-Functional Work: 30%

Applicants must be currently authorized to work in United States on a full-time basis now and in the future.

Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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