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Senior Machine Learning Engineer Jobs in Taylor, MI

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI

$103K - $142K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Varsity Tutors

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

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

THOMSON REUTERS

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102K - $140K/yr

We are seeking a Senior Research Engineer who willbringexpertiseinAI and ML ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

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Senior Machine Learning Engineer information

See Taylor, MI salary details

$55.2K

$117.5K

$170.3K

How much do senior machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior machine learning engineer in Taylor, MI is $117,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Taylor, MI are hiring for Senior Machine Learning Engineer jobs? Cities near Taylor, MI with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you

Senior AI Solutions Lead (Automotive / Retail)

Cogent IBS, Inc

Detroit, MI • On-site

Other

Posted 13 days ago

Job description

****Locals Preferred****
Experience
5 10 years of experience in Data Analytics, Digital Transformation, AI, Machine Learning, or Advanced Analytics.
2 3 years of hands-on experience delivering AI or Generative AI use cases with measurable business results.
Industry experience in Automotive, Retail, Aftermarket Parts & Service, Supply Chain & Logistics, or E-commerce.

AI Certifications (Required)
One or more of the following:
One or more recognized AI certifications, such as Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, Databricks Machine Learning Certification, Microsoft Applied AI, or equivalent Generative AI certification.
Preferred Qualifications
Experience with Automotive Service Parts, Dealer Operations, Customer Experience, Retail Analytics, Supply Chain, or Manufacturing.
Experience implementing predictive analytics, recommendation engines, demand forecasting, digital assistants/chatbots, Generative AI, knowledge management, or agentic AI workflows.
Experience presenting AI business cases to executive leadership and working with enterprise AI platforms such as Microsoft Copilot, Azure OpenAI, Snowflake AI, or Databricks.
Master''''''''s degree preferred (MBA, MS, Data Science, AI, Machine Learning, or equivalent).

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