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Flexible Machine Learning Jobs in Atlanta, GA (NOW HIRING)

... that is truly flexible to support where, when, and how you do your best work. The Advanced ... Develop tools and frameworks to enable scalable development of machine learning models and data ...

... that is truly flexible to support where, when, and how you do your best work. The Advanced ... Develop tools and frameworks to enable scalable development of machine learning models and data ...

They combine deep expertise in machine learning, data science, and software engineering with ... Ability to be flexible while delivering assignments with understanding that deliverables may change ...

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... Work with engineers to design and implement scalable machine learning pipelines, covering all ...

Machine Learning (classification, regression, clustering, recommendation systems), Deep Learning ... flexible while delivering assignments with understanding that deliverables may change based on ...

... that is truly flexible to support where, when, and how you do your best work. The Advanced ... Deep knowledge on current machine learning literature. * Strong publication record, with ...

Senior ML Engineer

Atlanta, GA · On-site

$100 - $160/hr

Job Summary We are seeking a highly skilled and innovative Machine Learning Engineer to develop ... flexible time off for exempt employees. * Paid parental leave, including maternity and paternity ...

Senior ML Engineer II

Atlanta, GA · On-site

$120 - $160/hr

Deep understanding of machine learning fundamentals, including supervised, unsupervised, and ... flexible time off for exempt members + 13 paid holidays * Paid parental leave (including maternity ...

Global Head of Advanced Engineering

Atlanta, GA · Hybrid

$173K - $223K/yr

Flexible paid time off * Hybrid work schedule * 401(K) matching of 100% up to the first 6% with a ... machine learning, and advanced engineering. This leader will drive enterprise-wide AI adoption and ...

Global Head of Advanced Engineering

Atlanta, GA · On-site

$173K - $223K/yr

Flexible paid time off * Hybrid work schedule * 401(K) matching of 100% up to the first 6% with a ... machine learning, and advanced engineering. This leader will drive enterprise-wide AI adoption and ...

Showing results 21-40

Flexible Machine Learning information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do flexible machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for flexible machine learning in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

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

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

What are the most commonly searched types of Machine Learning jobs in Atlanta, GA?

The most popular types of Machine Learning jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Flexible Machine Learning jobs?

Cities near Atlanta, GA with the most Flexible Machine Learning job openings:

Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labas

BlackRock

Atlanta, GA • On-site

Full-time

Medical, Retirement

Posted 4 days ago


BlackRock rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

About this role

Develops and deploys machine learning models and AI solutions that solve business problems and enhance products. Conducts data exploration, feature engineering, model training, evaluation, and deployment. Implements MLOps practices to productionize and monitor models in production environments. Collaborates with data scientists, engineers, and business stakeholders. Optimizes model performance, scalability, and reliability. Stays current on AI/ML advancements and techniques.Relevant Knowledge, Skills, and Abilities: Machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Programming languages (Python, R, Java) Deep learning, NLP, computer vision techniques Cloud ML platforms (AWS SageMaker, Azure ML, Vertex AI) MLOps tools and practices Statistical analysis and experimentation For Atlanta, GA Only the salary range for this position is USD$170,000.00 - USD$220,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidanceon when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


About BlackRock


At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.


This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.View theEEOC's Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with ourprivacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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