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Remote Deployed Services Jobs (NOW HIRING)

Lead AI Engineer

$104K - $138K/yr

This is a remote position. This is a senior, hands-on leadership role at the intersection of ... Proactively monitor deployed services, address performance or reliability issues, and maintain ...

Maintain, service, troubleshoot, test, and document technical data for aircraft mission equipment ... Willingness to travel and deploy to CONUS/OCONUS locations, including remote or hardship ...

AWS Cloud Architect

$66.25 - $87/hr

... services, DevSecOps etc Client - Charles Schwab. Location - Denver / Dallas / SF ( Remote open for ... Develop a library of deployable and documented cloud design patterns, based on the Client ...

Forward Deployed Engineer

Saint Louis, MO ยท Remote

$118K - $202K/yr

This is a remote position, must live in the United States. As a Forward Deployed Engineer you will ... Services, Automotive/Industrial). This strategic role combines practice management, presales ...

Senior Forward Deployed Engineer

Manhattan, NY ยท Remote

$114K - $157K/yr

Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and ... Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary Join our mission to transform ...

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.

Remote or hybrid work options, with occasional travel to support client engagement and team ... Interest or coursework in a specific vertical (e.g., financial services, healthcare, operations, or ...

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Remote Deployed Services information

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How much do remote deployed services jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote deployed services in the United States is $65.48, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $74.52 per hour, depending on experience, location, and employer.

What is the difference between Remote Deployed Services vs Remote Network Engineer?

AspectRemote Deployed ServicesRemote Network Engineer
CredentialsIT certifications, cloud platform knowledgeNetworking certifications (CCNA, CCNP), Cisco or Juniper expertise
Work EnvironmentClient sites, cloud environments, remote supportNetwork infrastructure, data centers, remote troubleshooting
Industry UsageIT service providers, cloud companies, consulting firmsTelecommunications, enterprise IT, data centers
Search & ComparisonOften compared for remote IT deployment rolesCompared for network infrastructure roles

Remote Deployed Services typically involve deploying and managing IT solutions across client sites or cloud environments, focusing on service delivery. Remote Network Engineers specialize in designing, implementing, and troubleshooting network infrastructure remotely. While both roles require technical certifications and involve remote work, their focus areas differ: service deployment versus network infrastructure management.

More about Remote Deployed Services jobs
What cities are hiring for Remote Deployed Services jobs? Cities with the most Remote Deployed Services job openings:
What are the most commonly searched types of Deployed Services jobs? The most popular types of Deployed Services jobs are:
What states have the most Remote Deployed Services jobs? States with the most job openings for Remote Deployed Services jobs include:
What job categories do people searching Remote Deployed Services jobs look for? The top searched job categories for Remote Deployed Services jobs are:
Infographic showing various Remote Deployed Services job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 7% As Needed, 87% Full Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $136,199 per year, or $65.5 per hour.

Machine Learning Engineer in NLP (Contract) - Remote

Cloudacio

Manhattan, NY โ€ข Remote

Contractor

Posted 12 days ago


Job description

About Cloudacio

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.


Role Overview

As a Machine Learning Engineer specializing in Natural Language Processing (NLP) at Cloudacio, you will develop and refine advanced solutions in language understanding, text generation, and semantic analysis. Working with Large Language Models (LLMs) and the latest NLP technologies, your role will be pivotal in project success and delivering client-focused AI solutions. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.

Key Responsibilities
  • Develop and implement NLP solutions with a focus on LLMs and semantic analysis.
  • Attend client meetings, offering pre-sales support and NLP-focused technical insights.
  • Responsiveness via Slack during EST business hours.
  • Engage in client-facing roles, translating business needs into robust NLP solutions.
  • Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions.
  • Stay updated with the latest NLP developments, enhancing our offerings continuously. 


Core Skills & Technologies

  • NLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e.g., GPT-4, Llama-2), RoBERTa, T5, ELECTRA, and BERT.
  • Deep Learning and Frameworks: Strong proficiency in TensorFlow and PyTorch for developing complex NLP models.
  • Data Handling: Skilled in data annotation and preprocessing for large NLP datasets.
  • Cloud Platforms: Familiarity with cloud environments like AWS, Azure, or GCP for deploying and managing NLP solutions.
  • Excellent English communication skills for client-facing roles and technical discussions.
  • Consulting Experience: Previous consulting or startup environment experience.
  • Entrepreneurial Spirit: Ability to independently handle customer interactions and lead projects.


What We Offer

  • Flexible work arrangements to accommodate project needs and personal preferences.
  • Growth potential in a dynamic environment focusing on AI and cloud technologies.
  • A culture that values innovation, communication, and proactive problem-solving.
  • Opportunity to work on innovative projects with significant real-world impact.
Employment Type: CONTRACTOR