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Machine Learning Contract Remote Jobs in Colorado

Performacentric

ML Engineer

Denver, CO · On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About Performacentric Performacentric helps small and ...

Eliassen Group

Senior AI/ML Engineer

Almont, CO · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis ...

SciTec

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$127K - $167K/yr

S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or ... Advance modeling, simulation, and machine learning toolchains, including development of reusable ...

SciTec

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$128K - $170K/yr

S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or ... Advance modeling, simulation, and machine learning toolchains, including development of reusable ...

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All JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Colorado

Machine Learning Contract Remote information

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

As of Jun 21, 2026, the average hourly pay for machine learning contract remote in Colorado is $21.61, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $25.10 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning contractors, and how can they be effectively addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are machine learning contract remote jobs?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are the most commonly searched types of Machine Learning Remote jobs in Colorado? The most popular types of Machine Learning Remote jobs in Colorado are:
What are popular job titles related to Machine Learning Contract Remote jobs in Colorado? For Machine Learning Contract Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract Remote jobs in Colorado look for? The top searched job categories for Machine Learning Contract Remote jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Contract Remote jobs? Cities in Colorado with the most Machine Learning Contract Remote job openings:
Machine Learning Contract Remote jobs near you

ML Engineer

Performacentric

Denver, CO • On-site, Remote

Full-time

Posted 12 days ago

Job description

Machine Learning Engineer (Llama AI Platform)

Location: Remote (Preferred U.S. Time Zones)
Employment Type: Full-Time
Company: Performacentric

About Performacentric

Performacentric helps small and mid-market organizations improve profitability, efficiency, visibility, employee performance, customer satisfaction, and supplier performance through custom AI agents, intelligent automation, and connected business systems.

We are building a next-generation AI platform powered by open-source large language models, agentic workflows, and business process automation. We are seeking a Machine Learning Engineer to help design, deploy, and optimize AI solutions built on Llama models and modern Python-based application architectures.

Position Summary

Performacentric is seeking a Machine Learning Engineer with hands-on experience developing and deploying AI applications using Llama 3 8B, Python, and FastAPI. This role will be responsible for building production-grade AI services, optimizing model performance, developing APIs, integrating business systems, and supporting the evolution of Performacentric's AI agent platform.

The ideal candidate combines strong software engineering skills with practical machine learning experience and enjoys working in a fast-paced startup environment where they can directly influence product direction and technical architecture.

ResponsibilitiesAI Model Development & Optimization
  • Deploy, configure, and optimize Llama 3 8B models for production use.
  • Develop prompt engineering, retrieval, and agentic workflows.
  • Fine-tune and evaluate LLM performance for business use cases.
  • Implement Retrieval-Augmented Generation (RAG) architectures.
  • Optimize inference performance, latency, and infrastructure utilization.
  • Monitor model quality and continuously improve response accuracy.
Application Development
  • Build scalable AI applications using Python and FastAPI.
  • Design and maintain RESTful APIs for AI services.
  • Develop backend services supporting AI agents and copilots.
  • Integrate AI solutions with CRM, ERP, communication, and business systems.
  • Implement authentication, authorization, and API security controls.
  • Write clean, maintainable, and well-documented code.
Data & Infrastructure
  • Build and maintain vector database integrations.
  • Develop data ingestion and preprocessing pipelines.
  • Support deployment of AI workloads in cloud and self-hosted environments.
  • Collaborate on model serving, monitoring, logging, and observability.
  • Assist with infrastructure automation and CI/CD processes.
Collaboration
  • Work closely with product, engineering, and leadership teams.
  • Participate in architecture discussions and technical planning.
  • Contribute to AI solution design for client implementations.
  • Mentor junior developers and share best practices.
Required QualificationsTechnical Skills
  • 3+ years of professional software engineering experience.
  • Strong proficiency in Python.
  • Experience building APIs with FastAPI.
  • Experience deploying and working with Llama 3 8B or similar open-source LLMs.
  • Understanding of prompt engineering and LLM optimization techniques.
  • Experience consuming and developing REST APIs.
  • Strong understanding of Git-based development workflows.
  • Familiarity with Linux environments and command-line tools.
  • Experience troubleshooting and optimizing production applications.
Machine Learning Knowledge
  • Understanding of machine learning fundamentals.
  • Experience evaluating AI model performance.
  • Familiarity with embeddings, vector search, and RAG architectures.
  • Knowledge of model inference optimization techniques.
  • Experience working with structured and unstructured datasets.
Preferred Qualifications

Preference will be given to candidates with experience in one or more of the following:

  • Fine-tuning open-source LLMs.
  • ML Engineering and MLOps practices.
  • LangChain, LlamaIndex, Haystack, or similar frameworks.
  • PostgreSQL database administration and optimization.
  • Vector databases such as pgvector, Chroma, Pinecone, Weaviate, or Qdrant.
  • Docker and containerized deployments.
  • Kubernetes orchestration.
  • Azure AI infrastructure and GPU environments.
  • CI/CD pipelines and DevOps automation.
  • Multi-agent AI architectures.
  • Knowledge graph implementations.
  • Business intelligence and analytics platforms.
Success Metrics

Within the first 12 months, the successful candidate will help:

  • Deploy and optimize production AI workloads.
  • Improve AI response quality and accuracy.
  • Reduce inference latency and infrastructure costs.
  • Expand Performacentric's AI agent platform capabilities.
  • Deliver reliable AI integrations for customer environments.
  • Contribute to the development of new AI-powered products and services.
What We Offer
  • Opportunity to work on cutting-edge AI and agentic technologies.
  • Direct influence on product architecture and technical strategy.
  • Remote-first work environment.
  • Competitive compensation based on experience.
  • Professional growth opportunities in one of the fastest-growing areas of software development.
  • Ability to help shape the future of AI-powered business transformation.
How to Apply

Interested candidates should submit:

  • Resume/CV
  • Brief cover letter
  • GitHub profile (if available)
  • Portfolio of AI, machine learning, or software development projects
  • Examples of LLM, FastAPI, or AI agent implementations (preferred)

Join Performacentric and help build the next generation of AI agents that transform how businesses operate, make decisions, and grow.