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Flexible Remote Machine Learning Engineer Jobs (NOW HIRING)

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

... machine learning models with minimal supervision, applyingsound statistical and engineering ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

Spear AI

Machine Learning Engineer

They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for their data management and artificial intelligence platform for maritime domain awareness.

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

... machine learning models with minimal supervision, applyingsound statistical and engineering ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

Canals

Machine Learning Engineer

San Francisco, CA · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Accelint

Machine Learning Engineer

We are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

We're looking for a Senior Machine Learning Engineer to help us build a revolutionary new health ... flexible time-off policy. Additionally, we embrace a remote-first culture that supports ...

Calendly

Machine Learning Engineer

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing ... Calendly uses the zip code of an employee's remote work location, or the onsite building location ...

Spear AI

Machine Learning Engineer

They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for maritime domain awareness, working on real-world projects that impact warfighter capabilities.

BetterHelp

Machine Learning Engineer

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

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All JobsMachine Learning Engineer JobsFlexible Remote Machine Learning Engineer Jobs

Flexible Remote Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do flexible remote machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for flexible remote machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are the key skills and qualifications needed to thrive as a flexible remote machine learning engineer?

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
More about Flexible Remote Machine Learning Engineer jobs

What cities are hiring for Flexible Remote Machine Learning Engineer jobs?

Cities with the most Flexible Remote Machine Learning Engineer job openings:

What are the most commonly searched types of Remote Machine Learning Engineer jobs?

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What states have the most Flexible Remote Machine Learning Engineer jobs?

States with the most job openings for Flexible Remote Machine Learning Engineer jobs include:

What job categories do people searching Flexible Remote Machine Learning Engineer jobs look for?

The top searched job categories for Flexible Remote Machine Learning Engineer jobs are:

Flexible Remote Machine Learning Engineer jobs near you
Infographic showing various Flexible Remote Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

AbbVie

San Diego, CA • On-site, Remote

$109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

16th of 86 rated pharmaceutical

Job description

Company Description
About AbbVie
At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn.
Job Description
Responsibilities
  • Own small to medium components of machine learning systems from technical designthrough implementation and delivery
  • Translate technical requirements into high-quality, maintainable code and deliver workstreamsaccording to plan
  • Build and maintain data pipelines and feature engineering workflows to support machinelearning and AI solutions
  • Design, train, evaluate, and refine machine learning models with minimal supervision, applyingsound statistical and engineering practices
  • Implement ML solutions that can be deployed into production environments as microservices,APIs, batch jobs, or streaming components
  • Support production monitoring efforts by helping define and implement metrics for modelperformance, data drift, anomalies, and retraining triggers
  • Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness stakeholders to deliver project objectives
  • Understand system design, data models, and technical artifacts well enough to contribute toimplementation decisions and tradeoffs
  • Follow governance, documentation, coding, and source control standards consistently
  • Demonstrate flexibility and proactively support teammates with day-to-day responsibilities asneeded
  • Clearly document and communicate work progress, technical decisions, and outcomes totechnical and non-technical audiences

Qualifications
Required Experience & Skills
  • Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science,Engineering, Operations Research, or other quantitative field
  • 3+ years of practical experience building, evaluating, scaling, and deploying machine learning pipelines with Python
  • Strong programming skills in Python and solid understanding of core computer scienceprinciples
  • Experience with data manipulation frameworks such as Pandas and PySpark
  • Experience with machine learning libraries such as scikit-learn, HuggingFace,TensorFlow/Keras, PyTorch, or MLlib
  • Experience with MLOps practices such as automated model deployment, model performancemonitoring, data drift detection
  • Working knowledge of SQL and relational data structures
  • Ability to design, train, and evaluate machine learning models using standard best practicessuch as model selection, validation, bias/variance tradeoffs, and performance assessment
  • Familiarity with batch and streaming data pipeline concepts such as ETL, ELT, and stream processing
  • Experience working with cloud environments, preferably AWS
  • Familiarity with technologies such as APIs, microservices, Docker, and Kubernetes
  • Strong interpersonal, verbal, and written communication skills
  • Ability to work effectively in a remote environment using collaboration tools

Preferred Experience & Skills
  • Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
  • Experience with managing and architecting solutions on AWS
  • Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production
  • Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes,
  • EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

What AbbVie employees say

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AbbVie logo

About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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