Remote Learning Lead Jobs
Remote learning lead jobs are open across the U.S. in sectors from tech and SaaS to healthcare, financial services, and professional services, at remote-first companies and distributed enterprise teams ranging from early-career instructional roles to senior learning strategy positions. Employers hiring remotely right now include Wider Circle, General Assembly, and Jazz Pharmaceuticals. Find a role that fits below and apply directly.
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At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Team and overall scope:
- The Allstate's Data & Analytics Technology organization is seeking a Machine Learning Platform Lead to architect, build, and scale the core platforms that power enterprise-wide machine learning solutions.
- In this role, you will provide deep technical leadership across ML infrastructure, MLOps automation, model deployment systems, and cloud-native engineering. You will influence platform strategy, guide architectural decisions, and collaborate closely with data science, engineering, security, and product teams to enable reliable, scalable, and responsible ML adoption across the enterprise.
This role is ideal for a senior technologist who thrives in hands-on engineering, technical leadership, and building high-impact ML platform capabilities.
Key Responsibilities
- Serve as the technical lead for ML platform architecture, guiding system design, scalability, performance, and reliability across platform components.
- Architect and build core ML platform services, including training and compute infrastructure, feature stores, model registries, inference runtimes, and data pipelines.
- Drive architectural decisions for distributed systems, cloud‑native frameworks, and automated MLOps workflows that support enterprise-scale machine learning.
- Evaluate and integrate emerging ML platform technologies, tools, and best practices to continuously strengthen platform capabilities.
- Design and implement robust MLOps pipelines for experiment tracking, data and model versioning, CI/CD for ML, automated retraining, and model governance.
- Develop automated workflows that ensure reproducible model training, validation, deployment, and lifecycle management across multiple environments.
- Implement monitoring and observability systems for model performance, data quality, drift detection, and inference reliability.
- Build and optimize cloud-based ML infrastructure on Azure, AWS, or GCP using Kubernetes, containerization, and infrastructure‑as‑code.
- Develop scalable batch and streaming data pipelines using modern data engineering tools and frameworks.
- Embed security, compliance, responsible AI principles, and cost optimization best practices within ML platform architecture and operations.
- Collaborate with data scientists to translate modeling needs into scalable, reusable, and self-service platform capabilities.
- Work closely with security, compliance, and governance teams to ensure safe and compliant deployment of AI/ML solutions.
- Partner with application engineering teams to accelerate adoption of ML services and enable consistent, high-quality production deployments.
- Provide technical mentorship, set engineering standards, and contribute to documentation, best practices, and ongoing platform improvements.
Required Qualifications
- Extensive experience in ML engineering, platform engineering, or large-scale distributed systems.
- Deep hands-on expertise with MLOps tools, ML frameworks, model deployment techniques, and ML lifecycle automation.
- Strong proficiency in Python and backend development for machine learning systems.
- Experience with cloud platforms and ML services, including Azure ML Studio, AWS SageMaker, and/or Google Vertex AI.
- Exposure to cloud storage/data such as Azure Fabric/OneLake, AWS S3, and Google Cloud Storage (GCS).
- Experience with cloud-native scanning and security tools such as Azure Defender, Microsoft Purview, AWS Security Hub, Amazon Inspector, GCP Security Command Center, or equivalent services.
- Strong understanding of technologies such as Kubernetes, Docker, CI/CD, Terraform/Infrastructure-as-Code, etc.
- Solid knowledge of system design, APIs, data pipelines, and scalable ML infrastructure patterns.
- Proven ability to lead technical initiatives and influence cross‑team engineering decisions. 6+ years of progressive related experience
Skills
CI/CD, Machine Learning (ML), Machine Learning Model Development, Machine Learning Operations, Microsoft Azure, Python Automation, Python FrameworksCompensation
Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.
Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Team and overall scope:
- The Allstate's Data & Analytics Technology organization is seeking a Machine Learning Platform Lead to architect, build, and scale the core platforms that power enterprise-wide machine learning solutions.
- In this role, you will provide deep technical leadership across ML infrastructure, MLOps automation, model deployment systems, and cloud-native engineering. You will influence platform strategy, guide architectural decisions, and collaborate closely with data science, engineering, security, and product teams to enable reliable, scalable, and responsible ML adoption across the enterprise.
This role is ideal for a senior technologist who thrives in hands-on engineering, technical leadership, and building high-impact ML platform capabilities.
Key Responsibilities
- Serve as the technical lead for ML platform architecture, guiding system design, scalability, performance, and reliability across platform components.
- Architect and build core ML platform services, including training and compute infrastructure, feature stores, model registries, inference runtimes, and data pipelines.
- Drive architectural decisions for distributed systems, cloud‑native frameworks, and automated MLOps workflows that support enterprise-scale machine learning.
- Evaluate and integrate emerging ML platform technologies, tools, and best practices to continuously strengthen platform capabilities.
- Design and implement robust MLOps pipelines for experiment tracking, data and model versioning, CI/CD for ML, automated retraining, and model governance.
- Develop automated workflows that ensure reproducible model training, validation, deployment, and lifecycle management across multiple environments.
- Implement monitoring and observability systems for model performance, data quality, drift detection, and inference reliability.
- Build and optimize cloud-based ML infrastructure on Azure, AWS, or GCP using Kubernetes, containerization, and infrastructure‑as‑code.
- Develop scalable batch and streaming data pipelines using modern data engineering tools and frameworks.
- Embed security, compliance, responsible AI principles, and cost optimization best practices within ML platform architecture and operations.
- Collaborate with data scientists to translate modeling needs into scalable, reusable, and self-service platform capabilities.
- Work closely with security, compliance, and governance teams to ensure safe and compliant deployment of AI/ML solutions.
- Partner with application engineering teams to accelerate adoption of ML services and enable consistent, high-quality production deployments.
- Provide technical mentorship, set engineering standards, and contribute to documentation, best practices, and ongoing platform improvements.
Required Qualifications
- Extensive experience in ML engineering, platform engineering, or large-scale distributed systems.
- Deep hands-on expertise with MLOps tools, ML frameworks, model deployment techniques, and ML lifecycle automation.
- Strong proficiency in Python and backend development for machine learning systems.
- Experience with cloud platforms and ML services, including Azure ML Studio, AWS SageMaker, and/or Google Vertex AI.
- Exposure to cloud storage/data such as Azure Fabric/OneLake, AWS S3, and Google Cloud Storage (GCS).
- Experience with cloud-native scanning and security tools such as Azure Defender, Microsoft Purview, AWS Security Hub, Amazon Inspector, GCP Security Command Center, or equivalent services.
- Strong understanding of technologies such as Kubernetes, Docker, CI/CD, Terraform/Infrastructure-as-Code, etc.
- Solid knowledge of system design, APIs, data pipelines, and scalable ML infrastructure patterns.
- Proven ability to lead technical initiatives and influence cross‑team engineering decisions. 6+ years of progressive related experience
Skills
CI/CD, Machine Learning (ML), Machine Learning Model Development, Machine Learning Operations, Microsoft Azure, Python Automation, Python FrameworksCompensation
Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.
Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.
See All 22 Remote Learning Lead Jobs
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Find Remote Learning Lead JobsRemote Learning Lead Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
What Employers Look For
The qualifications that appear most often in remote learning lead jobs.
- 3-5 years of experience in instructional design, training development, or L&D program management
- Proficiency with at least one authoring tool such as Articulate Storyline or Adobe Captivate
- Experience administering or configuring a learning management system
- Bachelor's degree in education, instructional design, organizational development, or a related field
- Demonstrated ability to conduct needs assessments and translate gaps into learning solutions
- Familiarity with adult learning principles and frameworks such as ADDIE or SAM
Tips for Your Remote Learning Lead Job Search
Apply early to remote roles that fit
Migrate Mate lists remote learning lead openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through listings that aren't actually remote.
Show your async communication skills upfront
Remote learning leads write a lot: program briefs, stakeholder updates, facilitator guides. Include writing samples or slide decks in your application materials so hiring managers can see how clearly you communicate without a room to read the room.
Prove your tools fluency in every application
Remote employers screen for hands-on experience with platforms like Articulate 360, Cornerstone, Workday Learning, or similar LMS tools. Name the specific systems you've built in, not just the category, so your application clears the initial filter.
Frame your portfolio around measurable outcomes
Remote hiring managers can't observe your work in person, so your portfolio has to do that job for them. Lead with the problem you solved, the approach you took, and a concrete result, like completion rates or time-to-productivity improvements, not just what you built.
Remote Learning Lead Jobs: Frequently Asked Questions
How do I get a remote learning lead job?
Remote learning leads get hired by demonstrating they can design, run, and iterate on learning programs without in-person oversight. Remote-first tech companies, SaaS businesses, and distributed professional services firms look for strong async communication skills, comfort with learning management systems, and evidence of owning projects independently. A portfolio showing measurable outcomes from past programs gives candidates a clear edge over those who list responsibilities alone.
Which companies hire remote learning leads?
Remote learning lead roles are posted by Wider Circle, General Assembly, and Jazz Pharmaceuticals and others right now, based on current remote listings on Migrate Mate as of November 2026. The employers hiring most consistently are remote-first tech firms, distributed SaaS companies, and large enterprises in healthcare and financial services that run learning functions across geographically spread teams.
Can you get a remote learning lead job with no experience?
Yes, but remote entry-level learning lead roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Smaller remote-first companies and startups are more open to candidates earlier in their careers. Showing a self-directed project, a volunteer training initiative, or strong familiarity with tools like Articulate 360 or a learning management system can open doors when formal experience is thin.
Do you need a degree for remote learning lead jobs?
Not always. Many remote employers care more about demonstrated results, like retention improvements or completion rates from programs you built, than the credential that got you there. Instructional design certifications, a strong portfolio of remote-delivered learning content, and fluency with async collaboration tools carry real weight, especially at remote-first companies that evaluate candidates on output rather than credentials.
Which industries hire the most remote learning leads?
Remote learning lead roles concentrate in Biotechnology & Pharmaceuticals, based on current remote listings on Migrate Mate as of November 2026. Those sectors hire learning leads remotely because their teams are distributed across time zones and need scalable, asynchronous learning programs that don't depend on anyone being in the same room.
See All 22 Remote Learning Lead Jobs
Find roles that match your experience and apply in just a few clicks.
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