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Senior Applied Scientist Machine Learning Jobs in Georgia

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... data scientists, and pathology domain experts to integrate research into production systems ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Required 5-8 years of industry experience in ML engineering or applied data science (3+ years with ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Required 5-8 years of industry experience in ML engineering or applied data science (3+ years with ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

... work with senior and executive management. Job Summary We are seeking a highly skilled and ... Design and build machine learning and optimization pipelines * Develop and deploy production-grade ...

... and machine learning techniques to enterprise data to generate actionable insights • Design ... applied to analytics and data science • Demonstrated mentorship or technical leadership ...

Deposco is seeking a Senior Data Scientist to join our Data Science team, focused on R&D innovation ... S. (Ph.D. preferred) in Computer Science, Machine Learning, AI, or related field, or equivalent ...

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Development of machine learning models and other analytics following established workflows, while ...

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Development of machine learning models and other analytics following established workflows, while ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

... machine learning techniques to enterprise data to generate actionable insights Design, develop, and ... CI/CD concepts applied to analytics and data science Demonstrated mentorship or technical ...

Showing results 41-60

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Infographic showing various Senior Applied Scientist Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Next Insurance - Machine Learning Engineer

Beyond SOF

Atlanta, GA • On-site

Full-time

Re-posted 2 days ago


Job description

Machine Learning Engineer
Experience level: Mid-senior
Experience required: 4 Years
Education level: Bachelor's degree
Job function: Information Technology
Industry: Financial Services
Total position: 1
Relocation assistance: Limited assistance
Visa : Only US citizens and Greencard holders

Job Summary
We are looking for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring.
You will be joining an innovative division of NEXT based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences.
What You'll Do:
  • Empower our team of data scientists to rapidly develop and deploy ML solutions.
  • Leverage software engineering best-practices to create and deploy data-intensive and machine learning inference products.
  • Understand the data and dig deep to extract actionable insights.
  • Think creatively and outside the box to answer desired experimental questions as well as exposing opportunities to create business value.
  • Work cross-functionally with marketing, engineering, product, senior management, and external partners.

What We Need:
  • 3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learning
  • Strong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packages
  • Demonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes.
  • Demonstrated experience with software engineering best-practices, such as Test-Driven Development and continuous integration/deployment pipelining
  • Experience with ML-oriented data pipelining tools (dbt, Airflow, Prefect, DVC, etc.)

Unstoppable Qualities:
  • Experience in the insurance industry (strong fintech/lending experience will also be considered)
  • Experience with GitLab