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Flexible Remote Machine Learning Engineer Jobs in Birmingham, AL

Varsity Tutors

Machine Learning Tutor

Birmingham, AL · 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 ...

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Remote / Hybrid / Onsite Department: Data Science & AI Job Summary We are seeking an experienced ... machine learning, and data engineering techniques to solve complex business problems, develop ...

EBSCO Industries Inc

GIS Data Engineer

Birmingham, AL · Remote

... for machine learning and data science workflows. This role helps ensure geospatial data is ... Remote-friendly culture with an optional annual hunting trip. Essential Job Function We are an ...

Motorola

Senior DevOps Engineer (US REMOTE)

Birmingham, AL · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task ...

FirstBank

Senior Automation Developer

Birmingham, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Varsity Tutors

Data Science Tutor

Birmingham, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Python Tutor

Birmingham, AL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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All JobsMachine Learning Engineer JobsFlexible Remote Machine Learning Engineer JobsFlexible Remote Machine Learning Engineer Jobs in Birmingham, AL

Flexible Remote Machine Learning Engineer information

See Birmingham, AL salary details

$29.5K

$120.7K

$181.3K

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

As of Aug 11, 2026, the average yearly pay for flexible remote machine learning engineer in Birmingham, AL is $120,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $145,300.00 per year, depending on experience, location, and employer.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

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

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Birmingham, AL? For Flexible Remote Machine Learning Engineer jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Birmingham, AL look for? The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Birmingham, AL are:
Flexible Remote Machine Learning Engineer jobs near you
Infographic showing various Flexible Remote Machine Learning Engineer job openings in Birmingham, AL as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $120,681 per year, or $58 per hour.

Senior Machine Learning Engineer

Shipt, Inc.

Birmingham, AL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Shipt rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

2nd of 24 rated food delivery companies

Job description

Impact
As a Senior Data Scientist on the Foundations team at Shipt, you will be responsible for implementing cutting edge models, and designing and analyzing advanced experiments in collaboration with product, business, and engineering teams to solve key challenges across multiple pricing domains at Shipt.
On this highly visible team, you will be the subject matter expert in a machine learning domain or experimentation with a focus on building cutting edge ML solutions and validating the impact of algorithmic changes to key business metrics and presenting recommendations to key stakeholders.
What You'll Need to Be Successful
  • 4+ years of experience in applying machine learning and statistics in an industry setting, with a track record of delivering impactful results
  • PhD or Masters in Computer Science, Statistics, or a related field
  • Experience with building and deploying machine learning models
  • Experience with experiment design, rollout, analysis and reporting
  • 4+ years Python development
  • Experience presenting to stakeholders
  • Experience leading key technical projects and substantially influencing the scope and output of others

Skills & Education
This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below.
Artificial Intelligence (AI), Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language)Bachelor's Degree or equivalent experience | Required
Work Arrangement
To foster connection while offering continued flexibility, hybrid team members have the following in-office expectations:
Hybrid roles in Birmingham, AL typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays.
Hybrid roles in Minneapolis, MN typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday.
Hybrid roles in San Francisco, CA typically work in-office at least 1 day per week between Monday and Thursday.
Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.
About Shipt
Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.
At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More.
Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt's company site at Shipt.com.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law.
Please inform your recruiting contact upon initial connection if you need a reasonable accommodation. If you need assistance filling out a job application, please complete this form.
Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company's 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

What Shipt employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Shipt logo

About Shipt

Sourced by ZipRecruiter

Shipt is a membership-based marketplace that helps people get the things they need, like fresh produce and household essentials, from stores they trust. Help people save time, and have fun while you're at it - there's never been a better time to join Shipt.

Industry

Retail

Company size

501 - 1,000 Employees

Headquarters location

Birmingham , AL, US

Year founded

2014

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