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Contract Machine Learning Startup Jobs in Kentucky

$180 - $240/hr

Contract to FTE conversion## About the OpportunityA well-funded, rapidly growing AI infrastructure ... Evaluate emerging AI technologies, foundation models, machine learning platforms, and ...

New

$126 - $154/hr

Contract Job ID: 178873 Job Overview: We are seeking a highly skilled and motivated Data Scientist ... Develop and implement machine learning models to solve business problems. * Collaborate with ...

New

$130 - $169/hr

Contract PrellisBiologics is a dynamic startup revolutionizing immunology. We developcutting ... About Prellis Biologics At Prellis we integrate human biology with machine learning. We aim to ...

$14.25 - $17/hr

... learning environment • Career growth potential • Fantastic work-life balance with our WIN ... the opportunity of a startup. We design, manufacture and service the mission-critical ...

Machine Operator I-Ironton,Ohio

Grayson, KY · On-site

$12 - $14.25/hr

... learning environment • Career growth potential • Fantastic work-life balance with our WIN ... the opportunity of a startup. We design, manufacture and service the mission-critical ...

$14.25 - $17/hr

... learning environment • Career growth potential • Fantastic work-life balance with our WIN ... the opportunity of a startup. We design, manufacture and service the mission-critical ...

$78 - $176/hr

Experience with machine learning, AI, or NLP * Experience applying and querying SIGINT, GEOINT ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Science Tutor

Louisville, KY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Lexington, KY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

$200 - $290/hr

We build services that allow machine learning developers to choose the best models for their tasks ... Compensation We offer competitive compensation, startup equity, health insurance, and other ...

New

$140 - $150/hr

Identify where AI and machine learning can meaningfully improve the product or the team's own ways ... stage startup. * Technical fluency and a demonstrated ability to work effectively with strong ...

$120 - $180/hr

... Startup Employers (2026) - Inc. 5000 Fastest-Growing Private Companies - Forbes' Fintech 50 (2023 ... Leverage AI and machine learning tools to enhance pricing accuracy, uncover emerging risk patterns ...

New

$99 - $225/hr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... as well as contract-specific affordability and organizational requirements. The projected ...

New

$180 - $240/hr

... machine learning models using the hottest techniques in Big Data. You'll bring solid experience in ... This team operates with a startup mindset backed by enterprise scale. We are 100% cloud-native ...

Showing results 21-40

Contract Machine Learning Startup information

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.

What are popular job titles related to Contract Machine Learning Startup jobs in Kentucky?

For Contract Machine Learning Startup jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Contract Machine Learning Startup jobs?

Cities in Kentucky with the most Contract Machine Learning Startup job openings:

Infographic showing various Contract Machine Learning Startup job openings in Kentucky 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.

Advisor to the Chief of Staff

Doist

On-site

$180 - $240/hr

Other

Posted 3 days ago

New


Job description

# Advisor to the Chief of StaffOpedia Technologies • • • 28m agoSave this role or tell us whether you want more jobs like it.# Advisor to the Chief of Staff**Location:** Bellevue, WA (Hybrid) **Compensation:** Contract to FTE conversion## About the OpportunityA well-funded, rapidly growing AI infrastructure company is building a next-generation cloud platform designed to power the full lifecycle of artificial intelligence. The organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads—including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications.Backed by significant long-term investment, the company combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern tooling and automation to build infrastructure capable of supporting the industry's most demanding AI workloads.We are seeking an experienced **Advisor to the Chief of Staff** to serve as a strategic advisor to executive leadership. This is a highly visible role that sits at the intersection of technology strategy, executive decision-making, AI infrastructure, and corporate growth.This opportunity is ideal for a senior technology leader who enjoys solving complex business challenges, evaluating emerging technologies, and influencing executive decisions without managing large engineering teams.## Position SummaryAs Advisor to the Chief of Staff, you will help shape technology strategy across AI infrastructure, cloud computing, high-performance computing, and emerging technologies. You will partner closely with executive leadership to evaluate strategic initiatives, assess technical investments, support partnership opportunities, and provide analytical insight on initiatives that drive long-term business growth.Success in this role requires exceptional critical thinking, executive presence, technical credibility, and the ability to simplify highly complex technical concepts into clear business recommendations.## What You'll Do### Executive Strategy & Advisory* Serve as a trusted advisor to executive leadership on strategic technology initiatives.* Translate business priorities into practical technology strategies and execution plans.* Develop executive presentations, briefing materials, strategic recommendations, and decision frameworks.* Identify risks, opportunities, and dependencies across major initiatives.### AI & Technology Strategy* Evaluate emerging AI technologies, foundation models, machine learning platforms, and infrastructure trends.* Advise leadership on AI deployment strategies, enterprise AI adoption, and large-scale computing environments.* Analyze technology investments supporting AI infrastructure, cloud platforms, and high-performance computing.* Monitor industry trends to identify competitive opportunities and strategic advantages.### Infrastructure & Data Center Strategy* Evaluate initiatives involving AI infrastructure, GPU computing, cloud architecture, networking, and hyperscale data centers.* Assess infrastructure economics, scalability, operational efficiency, and long-term investment strategies.* Track developments in power generation, energy infrastructure, grid capacity, and sustainable computing technologies.### Strategic Planning & Business Development* Evaluate strategic partnerships, acquisitions, investments, and emerging technologies.* Support technical due diligence and executive decision-making.* Collaborate across engineering, product, finance, operations, legal, and business development teams.* Represent executive leadership in strategic planning discussions with internal and external stakeholders.### Governance & Responsible AI* Advise on AI governance, responsible AI principles, data privacy, cybersecurity, and regulatory compliance.* Monitor evolving U.S. regulatory requirements affecting artificial intelligence and enterprise technology.* Support development of governance frameworks that enable responsible innovation.## What We're Looking For### Required Qualifications* Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.* 10+ years of experience in technology leadership, AI, cloud computing, enterprise software, infrastructure, or high-performance computing.* Deep understanding of AI architectures, machine learning, data platforms, cloud infrastructure, distributed systems, and enterprise technology.* Experience advising executive leadership on strategic technology initiatives.* Exceptional communication skills with the ability to translate highly technical concepts into executive-level business recommendations.* Proven ability to influence cross-functional stakeholders in fast-paced, evolving organizations.* Strong analytical, strategic thinking, and problem-solving capabilities.### Preferred Qualifications* Experience with management consulting, technology strategy consulting, or corporate strategy.* Experience supporting executive leadership, Boards, or C-suite organizations.* Knowledge of hyperscale infrastructure, GPU computing, AI infrastructure, cloud architecture, or enterprise AI platforms.* Familiarity with AI governance, responsible AI frameworks, and U.S. regulatory trends.* MBA or advanced technical degree is a plus.## Why You'll Be Interested* Highly visible executive advisory role with significant strategic influence.* Opportunity to help shape the future of AI infrastructure and advanced computing.* Work alongside senior technology and business leaders on high-impact initiatives.* Exposure to emerging technologies, strategic investments, and executive decision-making.* Collaborative, fast-moving environment where your recommendations directly influence company strategy. #J-18808-Ljbffr