1

Contract Machine Learning Startup Jobs (NOW HIRING)

Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton, California (Remote) Role Overview This role is focused on developing, deploying, and optimizing machine ...

S.-based Series A startup with a remotely distributed team across the USA, UK and Ireland. POSITION OVERVIEW As a Machine Learning Engineer at FloVision, you will design, develop, and optimize ...

New

S.-based Series A startup with a remotely distributed team across the USA, UK and Ireland. POSITION OVERVIEW As a Machine Learning Engineer at FloVision, you will design, develop, and optimize ...

New

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

... a startup environment. • Excellent collaboration skills, with the ability to work effectively ... Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in ...

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

Startup Mindset * Thrives in fast‑paced, high‑ownership environments. * Comfortable wearing multiple hats across machine learning, research, backend engineering, and infrastructure. Preferred ...

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... startup environment Company : Hadrian builds AI-powered automated factories that manufacture ...

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems ... startup environment Company : Hadrian builds AI-powered automated factories that manufacture ...

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or ...

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... startup-stage company (founding engineer to Series A company). Must be able to successfully ...

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

This role involves developing software and machine learning algorithms for use in human computer ... startup-stage company (founding engineer to Series A company). Must be able to successfully ...

They are seeking a Machine Learning Engineer to contribute to the development of tools and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ... Startup mindset with a desire to build and move quickly Bonus * Recommendation Systems * Marketing ...

next page

Showing results 1-20

Contract Machine Learning Startup information

See salary details

$30

$48

$99

How much do contract machine learning startup jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for contract machine learning startup in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

What is a contract machine learning startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What are the key skills and qualifications needed to thrive in a contract machine learning startup role?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

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

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

More about Contract Machine Learning Startup jobs

What cities are hiring for Contract Machine Learning Startup jobs?

Cities with the most Contract Machine Learning Startup job openings:

What are the most commonly searched types of Machine Learning Startup jobs?

The most popular types of Machine Learning Startup jobs are:

What states have the most Contract Machine Learning Startup jobs?

States with the most job openings for Contract Machine Learning Startup jobs include:

Infographic showing various Contract Machine Learning Startup job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, 34% Contract, and 33% Nights. Highlights an 100% In-person job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

Machine Learning Engineer

Apex Systems

Pleasanton, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Job#: 3043683
Job Description:
Hey,
Pat from Everforth Apex Systems here, with a brand new spot. Working to find an ML Engineer that has made and deployed models into an Azure ecosystem. Position is remote and pays anywhere from 40-55/hr. As always from ai assistant Riley will give you a call, but if you think this is the perfect spot for you please drop your resume to for a direct line to me. Position starts off as a 6 month contract
Machine Learning Engineer
Location: Pleasanton, California (Remote)
Role Overview
This role is focused on developing, deploying, and optimizing machine learning models for enterprise applications. The ideal candidate should have strong hands-on experience with machine learning algorithms, neural networks, NLP, Python/R/SQL, modern ML frameworks, Microsoft Azure, and DevOps/MLOps practices. This is not a data science research role; the candidate must be able to build models and support deployment and management in a production environment.
Key Responsibilities
  • Develop, deploy, and optimize machine learning models for various applications.
  • Build and deploy machine learning models from end to end, including selecting algorithms, preparing data, training models, and evaluating performance.
  • Manage the full lifecycle of machine learning models in a production setting.
  • Leverage MLOps concepts such as CI/CD for ML models, version control, monitoring, automation, and model retraining.
  • Utilize cloud platforms and technologies, specifically Microsoft Azure, for model deployment and management.
Required Qualifications
Candidates must have hands-on experience with the following:
  • Supervised and/or unsupervised machine learning algorithms
  • Neural networks and Natural Language Processing (NLP)
  • Programming languages: Python, R, and SQL
  • Machine learning frameworks such as TensorFlow, Keras, and/or PyTorch
  • Cloud platforms, specifically Microsoft Azure
  • DevOps and/or MLOps practices for model lifecycle management
Preferred Qualifications
  • Experience with Azure Machine Learning, Azure DevOps, Azure Databricks, or Azure Functions.
  • Proven experience building and supporting CI/CD pipelines for machine learning models.
  • Familiarity with containerization tools like Docker or Kubernetes.
  • Background in end-to-end model deployment in production environments.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex 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 cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.