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Medical Imaging Machine Learning Jobs in Detroit, MI

University of Michigan

Data Architect Lead

Ann Arbor, MI · On-site

Demonstrated expertise in management of large electronic health records datasets, machine learning, and biostatistics. Prior work with medical imaging analysis or LLM-enabled/AI-driven use cases is a ...

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All JobsMedical Imaging Machine Learning JobsMedical Imaging Machine Learning Jobs in Detroit, MI

Medical Imaging Machine Learning information

See Detroit, MI salary details

$22.2K

$90.4K

$190.6K

How much do medical imaging machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for medical imaging machine learning in Detroit, MI is $90,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,487.00 and $130,349.00 per year, depending on experience, location, and employer.

What types of teams do medical imaging machine learning professionals typically work with, and how is collaboration structured?

Medical Imaging Machine Learning specialists often collaborate closely with radiologists, data scientists, software engineers, and clinical researchers to develop and refine AI-driven diagnostic tools. The work environment is usually multidisciplinary, involving regular meetings, code reviews, and joint problem-solving sessions to ensure alignment between technical solutions and clinical needs. Team members may also work with regulatory experts to ensure compliance with healthcare standards. This collaborative approach ensures that models are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are the key skills and qualifications needed to thrive in medical imaging machine learning?

To excel in Medical Imaging Machine Learning, a solid background in computer science, machine learning, and image processing, often supported by an advanced degree (MS or PhD) in a related field, is essential. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with medical imaging standards (like DICOM) are commonly required. Strong analytical thinking, problem-solving abilities, and the ability to communicate complex technical concepts to multidisciplinary teams are highly valued. These competencies enable professionals to develop and implement effective AI solutions that enhance diagnostic accuracy and workflow efficiency in healthcare settings.

What is a medical imaging machine learning?

A Medical Imaging Machine Learning job involves developing and applying artificial intelligence (AI) techniques to analyze medical images, such as X-rays, MRIs, and CT scans. Professionals in this field use machine learning models to assist in disease detection, diagnosis, and treatment planning. They work with large medical datasets, optimize deep learning models, and collaborate with radiologists and healthcare professionals to improve diagnostic accuracy and efficiency. The role requires expertise in machine learning, computer vision, and medical imaging technologies.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Detroit, MI? The most popular types of Medical Imaging Machine Learning jobs in Detroit, MI are:
What are popular job titles related to Medical Imaging Machine Learning jobs in Detroit, MI? For Medical Imaging Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:
Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $90,384 per year, or $43.5 per hour.

Data Science and Machine Learning Senior Associate

FastTek

Allen Park, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Data Science and Machine Learning Senior Associate #1059030
Job Description:
  • Employees in this job function are responsible for predicting and extracting meaningful trends, patterns, and recommendations from raw data.
  • This is achieved by leveraging data science methodologies such as machine learning, predictive modeling, mathematics, statistics, and advanced analytics.

Key Responsibilities:
  • Understand business requirements and analyze datasets to determine appropriate analytical approaches that support data-driven decision-making.
  • Design and implement data analysis solutions, machine learning models, hypotheses, algorithms, and experiments.
  • Apply analytics techniques including data mining, predictive and prescriptive modeling, statistics, and machine learning to identify patterns, relationships, and trends.
  • Design efficient data loading, augmentation, and analysis techniques to improve accuracy and scalability of machine learning models, including automation-ready solutions.
  • Stay current with advancements in data science, machine learning, analytics tools, and methodologies, continuously identifying opportunities to improve efficiency and accuracy.

Project Scope / Deliverables:
  • Fully Functional Middleware API: Production-ready middleware layer that ingests, aggregates, and exposes 6 core operational data points.
  • Agentic AI Orchestrator: Deployed multi-agent system that monitors middleware data, flags anomalies, and generates structured recommendation JSON payloads.
  • Human-in-the-Loop (HITL) Dashboard Integration: APIs and webhooks feeding AI reasoning, recommendations, and confidence scores into the front-end application.
  • Co-Developed Codebase: Modular, tested Git repository co-authored with internal team.
  • Coaching Playbook: Training and knowledge transfer documentation for internal engineering and product teams.

Primary Skills Required:
  • J2EE
  • Logistics
  • Python
  • Machine Learning

Additional Skills Preferred:
  • AIPGEE
  • Advanced Data Migration
  • API Development
  • Data Management

Experience Required:
  • Specialist level
  • 5+ years of relevant experience

Preferred Experience:
  • Automotive industry
  • Supply Chain / Logistics

Education Required:
  • Bachelor's Degree

Preferred Education
  • Certification program in relevant field

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.