1

Contract Machine Learning Software Engineer Jobs

This Contract Machine Learning Engineer will work closely with Data Science, DevOps, Cloud Engineering, and Software Development teams to streamline ML workflows, improve deployment reliability, and ...

Machine Learning Software Engineer

Sunnyvale, CA · On-site

$181.10K - $318.40K/yr

Machine Learning Software Engineer Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from ...

Machine Learning Software Engineer

Sunnyvale, CA · On-site

$181.10K - $318.40K/yr

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields. Strong experience in Python. Working experience in C++ or Swift. Foundational understanding ...

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.Strong experience in Python.Working experience in C++ or Swift.Foundational understanding of ...

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

$110K - $150K/yr

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

next page

Showing results 1-20

Contract Machine Learning Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do contract machine learning software engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for contract machine learning software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.

What is the difference between Contract Machine Learning Software Engineer vs Data Scientist?

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

What cities are hiring for Contract Machine Learning Software Engineer jobs? Cities with the most Contract Machine Learning Software Engineer job openings:
What are the most commonly searched types of Machine Learning Software Engineer jobs? The most popular types of Machine Learning Software Engineer jobs are:
What states have the most Contract Machine Learning Software Engineer jobs? States with the most job openings for Contract Machine Learning Software Engineer jobs include:
Contract Machine Learning Engineer

Contract Machine Learning Engineer

Atrium

Manhattan, NY • On-site

$75 - $110/hr

Other

Medical, PTO

Posted 4 days ago


Atrium Health rating

7.5

Company rating: 7.5 out of 10

Based on 603 frontline employees who took The Breakroom Quiz

181st of 864 rated healthcare providers


Job description

Client Overview:
We are partnering with an innovative technology organization focused on delivering scalable AI and machine learning solutions across enterprise platforms. The team is building modern cloud-native infrastructure and advanced ML systems to support high-impact business initiatives, and they are looking to add a Contract Machine Learning Engineer. This is an opportunity for a Contract Machine Learning Engineer to work alongside experienced Engineers, Data Scientists, and Platform teams in a fast-paced and collaborative environment.
Salary/Hourly Rate:
$75/hr - $110/hr (Depending on experience, technical skill set, and project scope)
Position Overview:
Our client is seeking an experienced Contract Machine Learning Engineer to support the deployment, automation, and operationalization of machine learning platforms and production AI systems. This Contract Machine Learning Engineer will work closely with Data Science, DevOps, Cloud Engineering, and Software Development teams to streamline ML workflows, improve deployment reliability, and optimize scalable cloud infrastructure. The ideal candidate has hands-on experience supporting production ML environments and building automated MLOps pipelines.
Responsibilities of the Contract Machine Learning Engineer:
  • Design, implement, and support scalable MLOps infrastructure and deployment frameworks.
  • Build and maintain CI/CD pipelines for machine learning model training, testing, and deployment.
  • Collaborate with Data Scientists and Engineering teams to productionize ML models and AI services.
  • Automate model monitoring, validation, retraining, and performance tracking processes.
  • Support containerized deployments using Kubernetes and Docker technologies.
  • Manage and optimize cloud-based ML environments across AWS, Azure, or GCP.
  • Implement model versioning, experiment tracking, and reproducibility standards.
  • Monitor production systems for model drift, latency, reliability, and operational issues.
  • Troubleshoot infrastructure and deployment-related challenges across distributed environments.
  • Document MLOps workflows, platform architecture, and operational best practices.
Required Experience/Skills for the Contract Machine Learning Engineer:
  • 4+ years of experience in MLOps, Machine Learning Engineering, DevOps, or Platform Engineering.
  • Strong experience deploying machine learning models into production environments.
  • Advanced Python programming skills and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with CI/CD tools, including GitHub Actions, Jenkins, GitLab CI, or similar platforms.
  • Hands-on expertise with Docker, Kubernetes, and container orchestration.
  • Strong cloud platform experience with AWS, Azure, or Google Cloud Platform.
  • Experience with ML orchestration and lifecycle management tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Airflow.
  • Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Strong understanding of APIs, distributed systems, and production monitoring tools.
  • Excellent troubleshooting, communication, and collaboration skills.
Preferred Experience/Skills for the Contract Machine Learning Engineer:
  • Experience supporting Generative AI, LLMOps, or AI platform engineering initiatives.
  • Familiarity with vector databases, RAG architectures, and AI orchestration frameworks.
  • Experience working within enterprise or highly regulated environments.
  • Knowledge of Spark, Kafka, Snowflake, or large-scale data processing platforms.
  • Exposure to GPU infrastructure and model optimization workflows.
  • Cloud certifications or Kubernetes certifications preferred.
Education Requirements:
  • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related technical discipline is preferred.
Benefits:
  • Competitive hourly compensation.
  • Opportunity for contract extension and long-term engagement.
  • Exposure to enterprise-scale AI/ML initiatives.
  • Access to modern cloud and AI technologies.
  • Collaborative Engineering and Data Science teams.
  • Weekly pay and dedicated recruiter support.
  • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off).
About Atrium: What you do matters. Guided by our Applicant-Centric™ approach, we foster an environment of collaboration, high performance, and innovation where your talents are valued, and your achievements are celebrated. Join us and become part of an inclusive team committed to your growth and success.
By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy .
As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation.
EOE/M/F/D/V/SO
Position ID: 396660

What Atrium Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Atrium Health logo

About Atrium Health

Sourced by ZipRecruiter

Atrium Health is one of the nation's leading healthcare organizations, connecting patients with on-demand care, world-class specialists and the region's largest primary care network. A recognized leader in healthcare delivery, quality and innovation, our foundation rests on providing clinically excellent and compassionate care. We've been serving our community since 1940, when we opened our doors as Charlotte Memorial Hospital. Since then, our network has grown to include more than 40 hospitals and 900 care locations ranging from doctors' offices to behavioral health centers to nursing homes. Our focus: Delivering the highest quality patient care, supporting medical research and education, and joining with partners outside our walls to keep our community healthy.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1940