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Home Based Python Machine Learning Jobs in Brooklyn, MI

Varsity Tutors

Machine Learning Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... Proficiency in Python and comfort reading and debugging an existing codebase. * Curiosity about ...

May Mobility

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

They are seeking a Lead Machine Learning Engineer to enhance their Machine Learning capabilities ... Python/PyTorch in a Linux environment. • Functional understanding of LiDAR, Camera and Radar ...

Varsity Tutors

Python Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Bespoke Labs

Machine Learning Engineer

Ann Arbor, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Home Based Python Machine Learning information

See Brooklyn, MI salary details

$11

$49

$73

How much do home based python machine learning jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for home based python machine learning in Brooklyn, MI is $49.89, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $56.68 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What job categories do people searching Home Based Python Machine Learning jobs in Brooklyn, MI look for?

The top searched job categories for Home Based Python Machine Learning jobs in Brooklyn, MI are:

What cities near Brooklyn, MI are hiring for Home Based Python Machine Learning jobs?

Cities near Brooklyn, MI with the most Home Based Python Machine Learning job openings:

Home Based Python Machine Learning jobs near you
Infographic showing various Home Based Python Machine Learning job openings in Brooklyn, MI as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 15% Part Time, and 8% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $103,766 per year, or $49.9 per hour.

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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