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Machine Learning Engineer Python Jobs in Spring Lake, MI

Bespoke Labs

Machine Learning Engineer

Allendale, 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 ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Support the integration of AI and machine learning capabilities into data workflows using AWS ... Strong Python proficiency: ability to develop, analyze, debug, and optimize ETL pipelines ...

Mission Design & Automation

Machine Builder

Holland, MI · On-site

$20 - $25/hr

Every project is different, every solution is engineered from the ground up, and every team member ... learning and skill enhancement * Ensure proper processes are followed and documented appropriately ...

Mission Design Automation

Machine Builder

Holland, MI · On-site

$20 - $25/hr

Every project is different, every solution is engineered from the ground up, and every team member ... learning and skill enhancement * Ensure proper processes are followed and documented appropriately ...

Tata Consultancy Service Limited

MES Engineer

Holland, MI · On-site

$85K - $130K/yr

... integration and machine connectivity. • Familiarity with Kepware and OPC protocols • ... Ignition (Python, JavaScript). • Strong issue solving and analysis skills • Ability to work ...

Tata Consultancy Service Limited

MES Engineer

Holland, MI · On-site

$85K - $130K/yr

... integration and machine connectivity. • Familiarity with Kepware and OPC protocols • ... Ignition (Python, JavaScript). • Strong issue solving and analysis skills • Ability to work ...

Tommy's Express

Controls Engineer

Holland, MI · On-site

$70 - $95/hr

Valuable learning and development program * Significant ability to grow internally for motivated ... Experience in CODESYS, Ignition, Machine Expert, Control Expert software programs * Experience in ...

New

Tommy's Express Car Wash

Controls Engineer

Holland, MI · On-site

$77K - $100K/yr

Valuable learning and development program * Significant ability to grow internally for motivated ... Experience in CSS, Docker, Linux, and Python preferred but not required * Schneider Electric ...

DISHER

Electrical Hardware Engineer

Norton Shores, MI · On-site

$85 - $110/hr

... fixtures for machine vision applications. As an individual contributor, you will own hardware ... Python, or similar * Strong verbal/written communication; self‑directed and able to manage ...

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Spring Lake, MI

Machine Learning Engineer Python information

See Spring Lake, MI salary details

$20.9K

$127.2K

$184K

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

As of Aug 21, 2026, the average yearly pay for machine learning engineer python in Spring Lake, MI is $127,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $149,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Spring Lake, MI as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,207 per year, or $61.2 per hour.

Machine Learning Engineer

Bespoke Labs

Allendale, MI • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

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 preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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