Remote Senior Learning Consultant Jobs
Remote Senior Learning Consultant jobs are in active demand across the U.S., with remote-first firms, distributed enterprises, and global consulting teams all hiring for senior-level instructional and talent development expertise. Employers hiring remotely right now include Siemens, Wipro, and Intertek. See the openings below and apply to the ones that match your experience.
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Showing 5 of 9+ Remote Senior Learning Consultant jobs
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 9 Remote Senior Learning Consultant Jobs
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Find JobsRemote Senior Learning Consultant Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote senior learning consultant jobs.
- Bachelor's degree in instructional design, education, organizational development, or a related field
- Proficiency with authoring tools such as Articulate Storyline, Rise, or Adobe Captivate
- Experience conducting needs assessments and translating performance gaps into learning solutions
- Familiarity with learning management systems including Cornerstone, Workday Learning, or similar platforms
- Strong project management skills with the ability to handle multiple concurrent program designs
- Certification such as CPTD or ATD credentials preferred by many enterprise employers
Tips for Your Remote Senior Learning Consultant Job Search
Build a portfolio of async learning deliverables
Remote hiring managers want proof you can design and deploy learning programs without in-person collaboration. Assemble examples of self-paced modules, async facilitation guides, and virtual workshop decks you've created, and make them easy to share digitally during the application process.
Signal remote readiness in your work samples
Show that your instructional materials are built for distributed teams by including remote-specific design choices, such as asynchronous discussion prompts, virtual breakout structures, and LMS-ready formats. Employers screen for candidates who understand how remote learners engage differently than in-room participants.
Apply early to remote roles that fit
Migrate Mate lists remote senior learning consultant openings from across the U.S. in one place. Search the current openings by role and apply directly to the ones that match your background before competitive postings close.
Prepare for async-first remote interviews
Many remote employers use asynchronous video screening tools or written assessment prompts before live interviews. Practice delivering clear, structured explanations of your past learning programs in two to three minutes, and be ready to submit a written design rationale or needs analysis as a take-home exercise.
Remote Senior Learning Consultant Jobs: Frequently Asked Questions
How do I get a remote senior learning consultant job?
Target companies with distributed workforces and established remote learning functions, such as SaaS companies, global consulting firms, and large healthcare or financial services organizations with employees across multiple time zones. Remote employers screen for self-direction, strong async written communication, and the ability to design and facilitate learning programs without in-person oversight. Demonstrating experience with virtual facilitation tools, LMS platforms, and articulating results from previous programs gives you a clear edge.
Which companies hire remote senior learning consultants?
Employers currently hiring remote senior learning consultants include Siemens, Wipro, and Intertek, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, distributed professional services firms, and large healthcare and financial services organizations are among the most consistent hirers of this role at the senior level.
Can you get a remote senior learning consultant job with no experience?
Yes, but remote senior learning consultant roles are harder to land without experience because you're expected to operate independently from day one without in-person mentorship. Remote-first startups and smaller consulting firms occasionally hire candidates with strong instructional design portfolios, completed freelance or volunteer learning projects, and demonstrated proficiency in virtual facilitation and LMS tools, which can substitute for direct full-time experience.
Do you need a degree for remote senior learning consultant jobs?
Not always, though many remote employers list a bachelor's degree in instructional design, organizational development, education, or a related field as preferred. What consistently carries weight in remote hiring is a portfolio of measurable learning outcomes, proficiency with digital learning tools such as Articulate or LMS platforms, and evidence of leading programs independently, which some employers weigh as heavily as formal credentials.
See All 9 Remote Senior Learning Consultant Jobs
Find roles that match your experience and apply in just a few clicks.
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