Live · 431 open AI roles

NLP Engineer

High-signal AI engineering roles, refreshed daily across infra, agents, ML, and product teams.

Updated daily Verified employers Remote · USA · EMEA

Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

A

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

We believe that the way people interact with their finances will drastically improve in the next few years. We’re ded...

Fulltime Machine Learning Data Science Nlp

$174k - $260k · Senior Fully remote

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to de...

Remote Ai Machine Learning Data Science

$84k - $116k · Senior Fully remote

The Staff Gen AI Scientist will apply knowledge and experience to real world problems and seek to improve health qual...

Remote Ai Machine Learning Data Science

$165k - $190k · Senior Fully remote

About The Team At Zillow, we’re on a mission to give people the power to unlock life’s next chapter. We’re creating i...

Ai Machine Learning Nlp Generative Ai

$171k* · Senior Fully remote

New York, NY; San Francisco, CA; USA (Remote) Affinity stitches together billions of data points from massive dataset...

Remote Ai Machine Learning Nlp

$106k - $210k · Senior Fully remote

About the team At Zillow, our mission is to give people the power to unlock life’s next chapter. Zillow’s AI Org play...

Remote Ai Machine Learning Nlp

$138k - $232k · Senior Fully remote

Joining E Source as a Senior AI/ML Engineer is an exciting opportunity to work with a dynamic and talented team, leve...

Remote Ai Machine Learning Data Science

$115k - $130k · Senior Fully remote

About the team At Zillow, our mission is to give people the power to unlock life’s next chapter. Zillow’s AI Org play...

Ai Machine Learning Nlp Generative Ai

$145k* · Senior Fully remote

The Prompt Engineer will work closely with data scientists, ML engineers, and business stakeholders to enhance AI per...

Ai Machine Learning Data Science Nlp

Fully remote

Who is Authenticx? Authenticx is on a mission to help humans understand humans. Our software platform is the new stan...

Ai Nlp Generative Ai Fulltime

Fully remote

About Reducto Reducto helps AI teams ingest real world enterprise data with state of the art accuracy. The vast major...

Fulltime Ai Machine Learning Nlp

$150k - $300k · Senior Fully remote

About Reducto Reducto helps AI teams ingest real world enterprise data with state of the art accuracy. The vast major...

Fulltime Ai Machine Learning Nlp

$150k - $300k · Senior Fully remote

Selected role

Senior Delivery Consultant - Senior Machine Learning Engineer, AWS Professional Services, AWS Professional Services

Amazon Web Services Atlanta, GA, US

$138k - $239k Senior Full-time

DESCRIPTION

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology?

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities

Key job responsibilities

As an experienced technology professional, you will be responsible for:

Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.

This is a customer-facing role with potential travel to customer sites as needed.

About the team

About AWS:

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

5+ years cloud architecture and implementation
Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)

PREFERRED QUALIFICATIONS

AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
Strong communication skills with ability to explain complex concepts to technical and non-technical audiences with the ability to lead technical teams in customer projects
Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Showing 401–425 of 431 AI roles

1 … 14 15 16 18

AI Learning Hub · Always curated

Explore the complete
AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI companies

Browse vetted AI-first startups and labs.

Podcasts

Interviews with researchers & founders.

Events & meetups

Conferences, hackathons & local meetups.

Upcoming events

Learning paths

Curated tracks to ship real LLM systems.

Popular this week: Evaluating LLM agents Infrastructure for RAG Hiring your first ML engineer

Basic vs Premium

Choose Your Plan

Unlock powerful features with Premium membership. Get instant job alerts, AI interview practice, verified profile badge, and more to accelerate your job search.

Get Started with Premium

Cancel anytime. No hidden fees.

Features

Basic Plan

Free forever

Core tools to browse AI roles.

Premium Plan

For serious job seekers

Unlock everything.

Email Alert Frequency

Daily alerts only – limited frequency options.

Instant notifications + all frequency options (daily, weekly, immediately).

Multiple Custom Alerts

Cannot create multiple custom job alerts.

Create unlimited custom alerts for different skills and locations.

Job History & Stats

Feature locked – premium users only.

Track all applied jobs with performance stats and progress.

Interview Buddy

1 free session per day.

Unlimited Interview Buddy sessions with feedback.

AI Mock Interview

Feature locked – premium users only.

Timed mock interviews with a readiness report.

Billing Management

No billing portal access.

Full access to billing portal for subscription management.

Profile Image Style

Grayscale filter applied to profile images.

Full-color profile images – no filters.

Upgrade Banners

See promotional banners every 5 jobs.

No promotional banners – clean browsing experience.

Premium is designed for active AI job seekers who want structure, data, and coaching baked into their search workflow.

Upgrade to Premium