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Manager Remote Machine Learning Engineer Jobs in Niles, IL

Senior Machine Learning Engineer

Chicago, IL ยท On-site

$107K - $147K/yr

Senior Machine Learning Engineer Remote in US $160,000 - $190,000 Base + 10% Bonus THE COMPANY Harnham is partnering with a fintech that has built a leading fraud protection platform enabling ...

Senior Machine Learning Engineer

Chicago, IL ยท 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 ...

Senior ML Engineer

Chicago, IL ยท Remote

$180K - $240K/yr

... Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary ... Collaborating with various teams and product managers to develop and implement ML based solutions ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Manager Remote Machine Learning Engineer information

See Niles, IL salary details

$30.4K

$68.3K

$115K

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

As of Jun 23, 2026, the average yearly pay for manager remote machine learning engineer in Niles, IL is $68,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $74,200.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Manager Remote Machine Learning Engineer jobs in Niles, IL? For Manager Remote Machine Learning Engineer jobs in Niles, IL, the most frequently searched job titles are:
What job categories do people searching Manager Remote Machine Learning Engineer jobs in Niles, IL look for? The top searched job categories for Manager Remote Machine Learning Engineer jobs in Niles, IL are:
What cities near Niles, IL are hiring for Manager Remote Machine Learning Engineer jobs? Cities near Niles, IL with the most Manager Remote Machine Learning Engineer job openings:
Infographic showing various Manager Remote Machine Learning Engineer job openings in Niles, IL as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $68,295 per year, or $32.8 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Harnham

Chicago, IL โ€ข On-site

$107K - $147K/yr

Other

Posted 3 days ago


Job description

Senior Machine Learning Engineer

Remote in US

$160,000 โ€“ $190,000 Base + 10% Bonus


THE COMPANY

Harnham is partnering with a fintech that has built a leading fraud protection platform enabling merchants to grow confidently by eliminating fraud and delivering frictionless customer experiences. Theyโ€™re a global company that processes billions of transactions annually, leveraging advanced machine learning to approve more good orders while protecting revenue.

The company combines cutting-edge technology with a deeply collaborative and mission-driven culture. Their Machine Learning team sits at the core of the product, building and maintaining the models and experimentation frameworks that power fraud detection at scale.


RESPONSIBILITIES

  • Own the end-to-end lifecycle of machine learning projects, from experimentation through deployment and production monitoring.
  • Build, maintain, and optimize production-grade machine learning models for fraud detection.
  • Design and implement scalable ML pipelines to enable rapid experimentation and model iteration.
  • Develop advanced feature engineering and statistical methodologies to improve model performance.
  • Collaborate with Product, Engineering, and Risk teams to translate business needs into ML solutions.
  • Contribute to model training, evaluation frameworks, and experimentation infrastructure.
  • Ensure robustness, scalability, and reliability of ML systems in high-volume production environments.
  • Drive best practices in testing, documentation, and model monitoring across the ML team.


SKILLS AND EXPERIENCE

  • 4โ€“6+ years of experience in machine learning within production environments.
  • Strong foundation in machine learning theory, statistical modeling, and evaluation techniques.
  • Experience building and deploying supervised and unsupervised ML models at scale.
  • Proven track record of taking ML projects from research/prototype to production.
  • Proficiency in Python, SQL, and key machine learning libraries.
  • Experience working with distributed data processing tools such as Spark.
  • Strong communication skills, with the ability to explain technical insights to non-technical stakeholders.
  • Detail-oriented mindset with a focus on delivering measurable business impact.


PREFFERED EXPERIENCE

  • Experience in fraud detection, fintech, payments, or e-commerce domains.
  • Advanced degree (Masterโ€™s or PhD) in a quantitative field.
  • Passion for writing well-tested, production-quality code.
  • Interest in adversarial machine learning and combating fraud at scale.


BENEFITS

The compensation package includes a competitive base salary, performance-based bonus, and a comprehensive benefits package within a fast-growing, mission-driven organization.


HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.


KEY TERMS

Machine Learning | Fraud Detection | Fintech | Payments | E-Commerce | Python | SQL | Spark | Data Science | Statistical Modeling | Feature Engineering | MLOps | Experimentation | Adversarial ML | Production ML Systems