ZipRecruiter

Log In

1

Machine Learning Engineer Python Jobs in Alpharetta, GA

Cox Automotive

Machine Learning Lead Engineer

Hapeville, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Pine Lake, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Chamblee, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Mableton, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Vinnings, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Norcross, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Scottdale, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Marietta, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Redan, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Conley, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

Cox Automotive

Machine Learning Lead Engineer

Dunwoody, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Alpharetta, GA

Machine Learning Engineer Python information

See Alpharetta, GA salary details

$22.5K

$136.7K

$197.7K

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

As of Jul 4, 2026, the average yearly pay for machine learning engineer python in Alpharetta, GA is $136,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $160,600.00 per year, depending on experience, location, and employer.

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 salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

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 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.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
What are popular job titles related to Machine Learning Engineer Python jobs in Alpharetta, GA? For Machine Learning Engineer Python jobs in Alpharetta, GA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Alpharetta, GA look for? The top searched job categories for Machine Learning Engineer Python jobs in Alpharetta, GA are:
What cities near Alpharetta, GA are hiring for Machine Learning Engineer Python jobs? Cities near Alpharetta, GA with the most Machine Learning Engineer Python job openings:
    Machine Learning Engineer Python jobs near you
    Infographic showing various Machine Learning Engineer Python job openings in Alpharetta, GA as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $136,653 per year, or $65.7 per hour.
    Machine Learning Lead Engineer

    Machine Learning Lead Engineer

    Cox Automotive

    Hapeville, GA • On-site

    $134K - $224K/yr

    Full-time

    PTO

    Posted 29 days ago

    Cox Automotive rating

    7.7

    Company rating: 7.7 out of 10

    Based on 138 frontline employees who took The Breakroom Quiz

    105th of 146 rated financial services

    Job description

    We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting-edge research with the responsibility of building a culture of continuous learning and knowledge sharing. You'll lead efforts to identify, evaluate, and prototype emerging ML technologies while establishing our company as a thought leader in the ML community. Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business needs. Researches, implements, and tests machine learning methods to create product features, automate workflows, extract insights from data, and improve data quality. Structures, trains, and deploys models to learn from complex data across multiple modalities (e.g., structured, unstructured, image, video, audio) to uncover patterns and develop practical solutions. Possesses deep knowledge in at least one sub-area of machine learning, such as deep learning, generative AI, computer vision, optimization, predictive models, or causal machine learning.
    WHAT YOU'LL DO
    Key Responsibilities
    • Accelerate ML development using AI tools for code generation, feature engineering, optimization, and validation
    • Stay up to date with advancements in ML, AI, and emerging technologies
    • Design, build, and maintain ML models, algorithms, and robust pipelines for data processing, training, and inference
    • Optimize model performance, scalability, and reliability in production environments
    • Collaborate cross-functionally to translate model insights into business value and communicate project updates
    • Contribute to ML infrastructure improvements, best practices, and documentation
    • Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.
    • Establish AI governance practices including bias detection, interpretability, compliance monitoring, and responsible deployment.
    • Mentor teams in AI adoption, share best practices, and promote responsible AI innovation culture.
    • Lead AI transformation initiatives including tool evaluation, governance development, and strategic adoption planning.
    • Analyzes complex data sets to solve real-world business and customer use cases.
    • Performs end-to-end development of machine learning models
    • May assist with or lead the development of industry whitepapers or other technical publications.
    • Continuously evaluate AI processes for accuracy, efficiency, and business impact while staying current on emerging technologies.
    • Design agentic workflows for autonomous training, data pipelines, and analytical problem solving appropriate to experience level.

    Key AI Use Cases
    • AI-Accelerated Model Development: Use GitHub Copilot, Claude Code for rapid ML prototyping, automated feature engineering, and intelligent hyperparameter optimization.
    • Agentic ML Workflows: Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training pipelines, multi-step analysis, and collaborative research.
    • AI-Enhanced Model Interpretation: Build on traditional frameworks (SHAP, LIME) with AI tools for enhanced stakeholder communication and automated insights.
    • AI-Powered Research: Leverage manual/autonomous competitive intelligence and research acceleration tools for methodology discovery and algorithm innovation.

    WHO YOU ARE
    Required Skills
    • Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
    • Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
    • Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
    • Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
    • Commitment to continuous learning in AI-augmented data science and responsible AI use.

    Required Qualifications
    • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
    • Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
    • Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
    • Deep expertise in multiple ML domains and familiarity with emerging research areas
    • Strong experience in technology evaluation, competitive analysis, and strategic planning
    • Comfortability with non-deterministic systems
    • Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
    • Experience in Rally, Jira or similar tools
    • Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
    • Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
    • Proven track record of leading innovative projects from concept to proof-of-concept
    • Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
    • Experience building and leading high-performing research or innovation teams
    • Excellent communication skills for technical and executive audiences
    • Strong network within the ML research community
    • Experience with research collaboration and partnership development
    • Other duties as needed or required
    • Must be comfortable with change and an evolving environment

    Preferred Qualifications
    • Experience in corporate research labs, innovation teams, or technology consulting
    • Track record of identifying and successfully implementing breakthrough technologies
    • Background in technology transfer from research to business applications
    • Strong presence in the ML community (conference speaking, open-source contributions, etc.)
    • Knowledge of emerging areas such as LLMs, Agents, foundation models, multimodal AI, or quantum ML

    Leadership Expectations
    • Foster a culture of experimentation, learning, and calculated risk-taking
    • Drive consensus on research priorities while maintaining innovation velocity
    • Develop talent through mentoring in both technical skills and research methodologies
    • Communicate complex experimental results and strategic implications to all organizational levels
    • Lead by example in intellectual curiosity, scientific rigor, and knowledge sharing
    • Build bridges between cutting-edge research and practical business applications
    • Establish the team as a recognized center of excellence in experimental ML

    USD 134,900.00 - 224,900.00 per year
    Compensation:
    Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
    Benefits:
    The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
    EOE, including disability/vets

    What Cox Automotive employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

    Cox Automotive logo

    About Cox Automotive

    Sourced by ZipRecruiter

    At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

    Industry

    Automobile dealers and technology, communication and media

    Company size

    5,001 - 10,000 Employees

    Headquarters location

    Atlanta, GA, US

    View All Cox Automotive Jobs

    Apply