---
title: 'AI / ML Engineer at E Source'
canonical: 'https://feeny.ai/job/ai-ml-engineer-e-source-remote-fq4jrvyk49kr'
type: 'job'
last_seen: '2026-09-12'
---

# AI / ML Engineer at E Source

- **Company:** E Source
- **Location:** Remote
- **Compensation:** $115k–$145k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/e-source/f6b04d1a-937a-4cbf-be74-c821b15ec771/application

**Skills:** Python, Databricks, Machine Learning, Artificial Intelligence, Cloud Infrastructure, Azure, AWS, GCP, CI/CD, Distributed Computing, Relational Databases, Nonrelational Databases, Generative AI, AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex, Agentic AI Systems, AI Orchestration

> Design, develop, and deploy scalable machine learning and AI products for the utility industry. Collaborate with cross-functional teams to build ML pipelines, agentic architectures, and RAG systems using Python, Databricks, and cloud infrastructure.

## Job description

At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we’re looking for an AI / ML Engineer to help shape how that impact shows up in the world.

E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at [www.esource.com](http://www.esource.com)

Joining E Source as a Senior AI/ML Engineer is an exciting opportunity to work with a dynamic and talented team, leveraging your skills to drive meaningful impact in the utility industry. You’ll contribute to the next generation of AI and ML solutions that blend predictive modeling, optimization, and generative reasoning to empower sustainable decisions.

If you are a self-motivated engineer who thrives in a collaborative, innovative environment, and if you’re passionate about building intelligent, scalable AI/ML systems, we invite you to apply and help shape the future of utilities.

As a Senior AI/ML Engineer at E Source, you’ll play a crucial role in our machine learning engineering team. Collaborating with data scientists and software engineers, you’ll contribute to the development of cutting-edge ML and AI products that support our mission of building a sustainable future with utilities.

Your expertise will be instrumental in building tools and pipelines for developing and scaling machine-learning models, including emerging AI system design components and agentic architectures. You’ll work across a range of use cases—like electrification, network reliability, geospatial analysis, time series forecasting, image and text processing, and AI-driven decision systems—using both traditional ML and modern generative AI approaches.

In this role, you will:

- Collaborate with cross-functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models.
- Build reusable Python packages to support the implementation of ML/AI algorithms and data-processing pipelines.
- Contribute to the design of AI systems, including components for retrieval-augmented generation (RAG), LLM integration, and agent-based workflows.
- Develop agentic evaluation and monitoring frameworks to assess model reasoning, consistency, and fairness.
- Evaluate database design and create optimized performance queries for efficient data processing and retrieval.
- Break down complex MLE and AI tasks into manageable user and technical stories, ensuring efficient and effective implementation.
- Ensure high-quality test coverage of ML code and participate in peer reviews to provide valuable recommendations.
- Stay updated on the latest advances in machine learning engineering, generative AI, and AI system orchestration, and incorporate relevant practices into our workflows.
- Contribute to continuous delivery and Agile development processes, adhering to best practices in ML and AI engineering.

You’re likely a great fit if you:

- Master’s degree in computer science, software engineering, data science, or a related field (PhD preferred).
- Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products independently and collaboratively.
- Strong programming skills in Python, with experience developing reusable packages and automation tools.
- Familiarity with Databricks for scalable data processing and collaborative analytics.
- Solid understanding of machine learning systems design concepts, including model lifecycle management, MLOps, and scalable inference.
- Hands-on experience with cloud infrastructure (Azure, AWS, or GCP), containerization, and CI/CD pipelines.
- Proficiency with distributed computing frameworks, machine learning packages, and both relational and nonrelational databases.
- Familiarity with generative AI tools and frameworks (e.g., AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex) and their integration into enterprise pipelines.
- Experience developing or evaluating agentic AI systems, AI orchestration, or AI-assisted decision-making workflows is an asset.
- Excellent problem-solving and analytical skills, with the ability to break down complex tasks into actionable steps.
- Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams.
- Knowledge or experience in the utility, power, or energy sectors is a plus.
- Deep knowledge in Databricks tech stack for AI and data engineering is a plus.·

At E Source, you’ll work alongside people who are thoughtful, curious, and deeply knowledgeable about utility and energy systems. We value clarity over jargon, substance over flash, and collaboration over ego. You’ll have the opportunity to grow your skills, contribute to meaningful work, and help shape a company that plays a real role in how the energy future unfolds.

## What you can expect

- Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; medical and dependent-care flexible spending plans, and paid parental leave.
- A flexible time off (FTO) policy that provides paid time away from work, approved by your manager, while ensuring business needs, workload commitments, and appropriate coverage are maintained.
- A 401(k)/RRSP plan with a 3% employer match.

The budgeted salary for this position is $115,000–$145,000 USD+ annual bonus. Actual pay will be adjusted based on experience.

This role will be 100% remote, with infrequent travel (generally 1–2 times per year).

Applicants must be authorized to work for any employer in the US or Canada. We’re unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources.

We contact applicants directly via email using only our designated company email addresses with the domain of @[esource.com](http://esource.com). Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses.

#LI-Remote

## About E Source

## Company Overview
- **One-liner**: E Source is a solutions-based research, consulting, and data science firm that helps North American utilities modernize operations, improve customer experience, and lead the energy transition.
- **Entity Type**: Private (owned by Align Capital Partners, LP; acquired in 2019)
- **Headquarters**: Houston, Texas, United States
- **Founded**: 1986
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Utilities (energy, water, gas) – research, consulting, data science, and technology solutions
- **Target customers**: B2B – electric, gas, and water utilities across North America (US and Canada); enterprise and municipal utilities
- **Mission statement**: "To shape the future of the utility industry and lead the transition to a sustainable world."

## Products & Services
Major offerings (all service/consulting + data platform):

- **Grid Solutions**: AI/ML-driven analytics for outage prediction, vegetation risk assessment, reliability scenario testing, and grid modernization.
- **Customer Solutions**: Customer experience design, digital self-service, program evaluation, demand-side management strategy, transportation electrification strategy, and customer research.
- **Business, Technology & Operations Solutions**: Platform modernization, process refinement, data governance, workforce transformation, technology investment readiness, and arrears recovery.
- **Data Science & AI Support**: Predictive modeling, utility data exchange, benchmarking, and AI-driven insights for operational decisions.
- **Water Loss Assessment**: Specialized water utility services for leak detection and conservation planning.

## Market Standing
- **Valuation**: Not disclosed (private; backed by Align Capital Partners)
- **Key Metric**: Annual Revenue ~$22.4M (LinkedIn estimate); 340 employees (+66.3% year-over-year growth)
- **Notable Investors/Partners**: Parent company Align Capital Partners; has acquired UMS Group (2023), Utilligent (2023), and ILLUME Advising (2025) to expand capabilities.
- **Growth Signals**: Active job postings (12 open roles as of mid-2026), headcount growth of 66% YoY, strategic acquisitions in advisory and data analytics, operating in 5 countries (US, Canada, UK, Pakistan, Philippines).

## Competitive Advantages
- **Deep utility domain expertise**: Over 30 years focused exclusively on the utility sector.
- **Integrated model**: Combines research, consulting, and data science under one roof – clients get both strategic advice and execution support.
- **AI/ML capability**: Proprietary predictive models for outage risk, vegetation management, and customer behavior.
- **Client scale**: Partners with utilities across every region and business model in North America, building a community that shares benchmarks and best practices.

## Strategic Focus
- Growing data science and AI practice (recently posted AI/ML Engineer and Data Scientist roles).
- Expanding through acquisitions (UMS, Utilligent, ILLUME Advising) to add complementary consulting and analytics capabilities.
- Helping utilities with decarbonization, electrification, affordability, and grid resilience – aligning with the energy transition.
- Strengthening customer operations and digital self-service to improve utility-customer relationships.

## Why Work Here
- **Remote flexibility**: Work from anywhere in the continental US or Canada; fully remote with all necessary gear provided.
- **Culture**: Collaborative, supportive, curious, and candid. Emphasizes diversity, equity, inclusion, and belonging – BIPOC representation grew from 2% (2020) to 25%.
- **Benefits**: Flexible paid time off, 12 weeks paid maternity leave, 4 weeks paid partner support leave, wellness apps (Headspace, Glo Yoga), annual career planning, anniversary recognition program.
- **Growth**: Fast-growing company (+66% headcount YoY) offering roles across engineering, data science, product, and consulting – clear path for impact.
- **Open roles** (examples from June 2026): AI/ML Engineer, Software Engineer II/III, Data Analyst Intern, Interconnection Technical Director, Senior Software Product Manager, Business Systems & Integrations Manager.
- **Careers page**: [jobs.ashbyhq.com/e-source](https://jobs.ashbyhq.com/e-source)

## Sources
1. [E Source Homepage](https://www.esource.com/)
2. [About E Source](https://www.esource.com/about-e-source)
3. [LinkedIn Company Page](https://www.linkedin.com/company/e-source)
4. [Careers and Culture](https://www.esource.com/public/careers-and-culture)
5. [Leadership Page](https://www.esource.com/public/leadership)

## Other roles at E Source

- [Leak Detection Crew Manager](https://feeny.ai/job/leak-detection-crew-manager-e-source-nashville-7yf3vgnw8hwm) — Nashville, TN
- [Transmission Planning and Interconnection Study Engineer](https://feeny.ai/job/transmission-planning-and-interconnection-study-engineer-e-source-calgary-czy64ydc2g1v) — Calgary, Canada
- [Principal Engineer, West Coast Utilities](https://feeny.ai/job/principal-engineer-west-coast-utilities-e-source-remote-qknyrb09sg78)
- [Principal Engineer, Grid Engineering and Interconnection](https://feeny.ai/job/principal-engineer-grid-engineering-and-interconnection-e-source-remote-gg9208hc6710)
- [Solution Architect, AMI & Utility Technology](https://feeny.ai/job/solution-architect-ami-utility-technology-e-source-united-states-tymw653q2p3p) — United States
- [Technical Consultant, AMI Testing & Data Management](https://feeny.ai/job/technical-consultant-ami-testing-data-management-e-source-united-states-d5bvk8tbzev1) — United States
- [Project Manager, AMI](https://feeny.ai/job/project-manager-ami-e-source-united-states-pabcrcpchfjz) — United States
- [Data Scientist II or III, Program Evaluation](https://feeny.ai/job/data-scientist-ii-or-iii-program-evaluation-e-source-united-states-vz1a5c3d0y7x) — United States
- [Managing or Senior Managing Consultant, Research & Evaluation](https://feeny.ai/job/managing-or-senior-managing-consultant-research-evaluation-e-source-united-06sdad2yrwfw) — United States
- [Strategic HR Business Partner](https://feeny.ai/job/strategic-hr-business-partner-e-source-united-states-zvcde6wwcqfq) — United States