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Manager Remote Machine Learning Engineer Jobs in Lake Forest, IL

Capital One

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$107.60K - $147.80K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL · Remote

$107.60K - $147.80K/yr

We're revolutionizing how property managers operate, how residents live, and how intelligence flows ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

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Manager Remote Machine Learning Engineer information

See Lake Forest, IL salary details

$30.2K

$67.9K

$114.4K

How much do manager remote machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for manager remote machine learning engineer in Lake Forest, IL is $67,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $73,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

What is the difference between Manager Remote Machine Learning Engineer vs Data Scientist?

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

What are the most commonly searched types of Remote Machine Learning Engineer jobs in Lake Forest, IL? The most popular types of Remote Machine Learning Engineer jobs in Lake Forest, IL are:
What are popular job titles related to Manager Remote Machine Learning Engineer jobs in Lake Forest, IL? For Manager Remote Machine Learning Engineer jobs in Lake Forest, IL, the most frequently searched job titles are:
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Manager Remote Machine Learning Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Alpha Business Solutions

Chicago, IL • Remote

$80 - $100/hr

Other

Medical, Dental, Vision, Life

This job post has expired today. Applications are no longer accepted.

Job description

Position: Senior Machine Learning Engineer
Location: Remote 100% (Chicago, IL)
Duration: 6+ months
PURPOSE:
We're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners and colleagues.
Seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.
In this role you will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activation. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations.
You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science.
Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn't just a nice to have, it's a must.
POSITION RESPONSIBILITIES:
• Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
• Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
• Implement and productionize final solutions via infrastructure-as-code pattern.
• Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.
• Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.
• Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
• Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering.
• Partner with data architecture, data governance, and security team to ensure solutions meet required standards.
The ideal candidate demonstrates a commitment to *** core values: respect, integrity, humility, empathy, creativity, and fun.
EXPERIENCE AND QUALIFICATIONS:
• 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required
• Expertise in AWS cloud services
• Expertise in Python, SQL, PySpark, Docker
• Experience with streaming and batch data architectures at scale
• Experience operating in an Agile Methodology environment.
• Experience with DevOps and CI/CD concepts
• Excellent communication and teamwork skills
• Position will not require customer-facing interactions.
EDUCATION:
Master's degree in computer science, software engineering, or related fields required
Benefits:
We offer a competitive compensation package that includes:
• Pay Rate: $80 - $100 per/hour W2
o Note: Pay rate will be commensurate with experience.
• Medical for full time employees
• Dental, and Vision Insurance
• Life Insurance, Short-Term Disability, Long-Term Disability, etc.

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