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Applied Machine Learning Engineer Jobs (NOW HIRING)

Staff Machine Learning Engineer, Consumer

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you ... Track record of driving measurable impact through applied machine learning in real-world products ...

Staff Machine Learning Engineer, Consumer

Springfield, VA · On-site

$230 - $322/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience driving measurable impact through applied machine learning Preferred Qualifications ... Background in feature engineering, model optimization, and production monitoring * Experience with ...

Machine Learning Engineer

Atlanta, GA · On-site

$130 - $185/hr

  • PTO

You will work at the intersection of data engineering and applied research, taking models from proof-of-concept to production. What You'll Do * Design, build, and deploy machine learning models that ...

Sr. Machine Learning Engineer

Santa Clara, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

As an Applied ML team, we are pushing the boundaries to provide our users with the utmost optimal ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... and Applied AI team. This role is critical in helping Oversight deliver the next generation of ...

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to ... Contribute to applied AI tooling that supports the broader R&D workflow * Develop visualization and ...

Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... applied to future expeditions and datasets. * Support integration of AI/ML outputs into broader ...

New

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...

What do we need from you? * 4+ years of industry experience in applied Machine Learning or closely ... Strong programming (Python / Scala / Java / SQL etc) and data engineering skills * Proficiency in ...

Showing results 41-60

Applied Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Aug 14, 2026, the average yearly pay for applied machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are some common challenges an applied machine learning engineer faces when transitioning models from research to production?

Applied Machine Learning Engineers often encounter challenges such as ensuring models perform robustly with real-world data, optimizing for computational efficiency, and integrating with existing engineering infrastructure. Unlike research prototypes, production models must handle scalability, latency, and reliability concerns. Collaborating closely with data engineers, software developers, and product managers is essential to address these obstacles and ensure seamless deployment and ongoing monitoring.

What are the key skills and qualifications needed to thrive as an applied machine learning engineer?

To thrive as an Applied Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of statistics, algorithms, and machine learning concepts, typically backed by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems, as well as experience with data preprocessing, are essential. Problem-solving ability, effective communication, and the ability to work collaboratively make someone stand out in this role. These skills are crucial for designing, implementing, and deploying robust ML solutions that address real-world business challenges.

What does an applied machine learning engineer do?

An Applied Machine Learning Engineer designs, develops, and implements machine learning models to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to deploy scalable and efficient machine learning solutions. Their responsibilities include selecting appropriate algorithms, preprocessing data, training models, evaluating performance, and integrating models into production systems. They also monitor and maintain these systems to ensure they deliver accurate and reliable results over time.
More about Applied Machine Learning Engineer jobs
Infographic showing various Applied Machine Learning Engineer job openings in the United States 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 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Data Scientist (Applied Machine Learning)

FOCUSPOINT

Brentwood, TN • On-site

$35 - $53/hr

Contractor

Medical, Dental, Vision, Life

Re-posted 26 days ago


Job description

Job Title: Data Scientist (Applied Machine Learning)
Location: Varies by client
Employment Type: Contract, Contract To Hire and Full Time
Pay: Commensurate with experience

Job Overview:
FOCUSPOINT is seeking experienced Data Scientists for our client base.

Our clients, leading innovators, are seeking a highly skilled Data Scientists with a focuses on Applied Machine Learning to join their dynamic teams. These is a high-impact roles where you'll translate complex data into actionable insights, build scalable ML models, and directly influence product development and strategic decision-making.

As a staffing partner, we’re looking for candidates who thrive in fast-paced environments, bring deep technical expertise, and are passionate about solving real-world problems with machine learning.

We’re actively sourcing candidates who combine strong analytical rigor with practical problem-solving and communication skills. If you enjoy turning patterns into strategy and are ready to leverage your data expertise to drive real-world outcomes, we want to hear from you.


Core Responsibilities:

  • Design, develop, and deploy machine learning models for production use
  • Collaborate with cross-functional teams (engineering, product, analytics) to identify opportunities for ML-driven solutions
  • Conduct exploratory data analysis and feature engineering on structured and unstructured datasets
  • Optimize model performance and scalability using best practices in ML engineering
  • Communicate findings and model outcomes to technical and non-technical stakeholders
  • Stay current with advancements in ML algorithms, frameworks, and tools

Required Skills and Experience:

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field (PhD preferred for research-heavy roles)
  • 3+ years of experience in applied machine learning or data science roles
  • Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Strong understanding of supervised and unsupervised learning, deep learning, and model evaluation techniques
  • Experience with cloud platforms (AWS, Azure, GCP) and data pipeline tools
  • Excellent communication and problem-solving skills

Preferred Skills

  • Experience with NLP, computer vision, or time-series modeling
  • Familiarity with MLOps tools and CI/CD workflows
  • Background in deploying models in real-time systems or edge environments
  • Contributions to open-source ML projects or publications in peer-reviewed journals

Benefits:

  • Dental insurance
  • Health insurance
  • Vision insurance
  • Health savings account
  • Life insurance
  • Disability insurance

Why Work With Us

As a trusted staffing partner, we offer:

  • Direct access to top-tier companies and cutting-edge projects
  • Personalized career guidance and interview coaching
  • Competitive compensation packages and benefits
  • Opportunities for long-term placement and career growth

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.