Machine Learning Jobs in Atlanta, GA

15,694 open positions · Updated daily

Looking for Machine Learning jobs in Atlanta, GA? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Atlanta, GA area.

Database Scientist

Company: Dolby

Location: Atlanta, GA

Posted Jan 24, 2025

Federal Accounting Solution Senior Consultant (Encore)

Company: Deloitte

Location: Atlanta, GA

Posted Jan 24, 2025

Deloitte's Encore Program offers professionals who have left the workforce a chance to reignite their careers. The role involves assisting clients with optimizing their accounting and financial reporting operations, advising on technical accounting matters, and providing strategic guidance for audit preparation. The position requires a Bachelor's Degree in relevant fields, experience in financial statement audits, and the ability to travel up to 20%. The wage range is $80,370 to $141,000.

TSO ServiceNow Developer

Company: Deloitte

Location: Atlanta, GA

Posted Jan 24, 2025

Distribution Operations Intern | Jefferson, GA

Company: The TJX Companies, Inc.

Location: Jefferson, GA

Posted Jan 24, 2025

TJX is offering a 12-week Operations Internship in its Distribution Centers, providing hands-on experience in a global logistics operation. Interns will lead teams, collaborate with various functions, and participate in process improvement projects. The role is ideal for strong, curious leaders with analytical skills and a genuine interest in a long-term career in logistics. Successful interns may receive a future offer for a second internship or a full-time position as a Distribution Supervisor. TJX values diversity and offers competitive pay and benefits.

Full Time Tax Consultant (Global Trade Advisory) (Summer/Fall 2025, Winter 2026)

Company: Deloitte

Location: Atlanta, GA

Posted Jan 24, 2025

Deloitte's Global Trade Advisory (GTA) practice is seeking a full-time consultant. The role involves working with US and multinational companies to align their trade function with business objectives, develop global trade management strategies, and automate global trade processes. The ideal candidate will have a Bachelor's Degree in a relevant field, strong academic credentials, and the ability to travel up to 80%. The role offers opportunities for professional development and a competitive wage range of $54,160 to $99,600.

Registered Nurse

Company: DaVita

Location: Loganville, GA

Posted Jan 24, 2025

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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