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Remote Aws Machine Learning Jobs in Renton, WA (NOW HIRING)

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

... in Machine Learning and Data Science to join our diverse team. In this Hybrid or remote role, you ... Exposure to cloud platforms (GCP or AWS) * Familiarity with tools like BigQuery, notebooks, or ...

Lead AI Engineer - AWS Platform

Seattle, WA · On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

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Remote Aws Machine Learning information

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

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

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

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Remote Aws Machine Learning jobs in Renton, WA look for? The top searched job categories for Remote Aws Machine Learning jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Aws Machine Learning jobs? Cities near Renton, WA with the most Remote Aws Machine Learning job openings:
Machine Learning Engineer -- LLM Evaluation & Automation

Machine Learning Engineer -- LLM Evaluation & Automation

TEKsystems

Seattle, WA • On-site, Remote

$60 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview:

We are seeking a Machine Learning Engineer to join a high-impact team focused on advancing LLM evaluation, NLP, and AI-driven automation. This role centers on designing scalable evaluation frameworks, optimizing prompt strategies, and building systems that ensure high-quality, consistent model outputs across product domains. You will partner closely with product, engineering, and research teams to drive measurable improvements in AI performance. This is a hands-on role with a strong emphasis on LLM evaluation systems, prompt engineering, and data-driven model optimization.


Job Details:

  • Location: Seattle, WA (Hybrid with 3 days a week onsite)
  • Pay Rate: $60-70 hr/w2
  • Job Type: Contract
  • Contract Length: 6 months
  • Experience Level: Mid-level to Senior

Key Responsibilities:

  • Design and build LLM-based evaluation frameworks, including automated scoring pipelines and rubric-based grading systems
  • Build and maintain data pipelines for evaluation datasets using Python, SQL, and scalable processing tools
  • Translate complex evaluation results into clear, actionable insights for technical and non-technical stakeholders
  • Implement automation workflows and agentic evaluation systems to improve efficiency and reduce manual efforts
  • Develop prompt engineering strategies to evaluate output quality, accuracy, and consistency
  • Create and maintain metrics, KPIs, and dashboards to track and communicate model performance
  • Conduct error analysis, root-cause investigations, and quality deep dives to guide model improvements
  • Partner cross-functionally to define evaluation methodologies and integrate them into production workflows

Must-Have Qualifications:

  • 5+ years of experience in ML engineering, NLP, or AI/ML automation
  • Strong programming skills in Python and SQL
  • Deep understanding of machine learning concepts with a focus on NLP and advanced LLM capabilities (e.g., Chain-of-Thought, agentic workflows)
  • Experience working with large-scale datasets and data pipelines
  • Strong experience with LLM evaluation, prompt engineering, or auto grading systems
  • Experience developing metrics and KPIs to measure model output quality and consistency

Nice-to-Have:

  • Experience with LLM-as-judge systems or human + model evaluation frameworks
  • Background in inter-rater reliability, evaluation calibration, or judged systems design
  • Experience with PySpark or distributed data processing tools
  • Exposure to building dashboards or visualization tools for model performance tracking

Technical Skills

Python, SQL, NLP, LLM Evaluation, Prompt Engineering, Machine Learning, Data Pipelines, Automation Systems

NOTE: This posting is for an existing vacancy.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected

classification. Eligibility requirements apply to some benefits

and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. This temporary role may be eligible for the following:

  • Medical, dental & vision
  • 401(k)/Roth
  • Insurance (Basic/Supplemental Life & AD&D)
  • Short and long-term disability
  • Health and Dependent Care Spending Accounts (HAS & DCFSA)
  • Transportation benefits
  • Employee Assistance Program
  • Time off/Leave (PTO, Vacation, or Sick Leave) 

Job Type & Location

This is a Contract position based out of Seattle, WA.

Pay and Benefits

The pay range for this position is $60.00 - $70.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jun 3, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.