Huron · 4 hours ago
Machine Learning Engineer (Manager)
Chicago, IL
Full-time
Onsite
Senior Level
5+ years expHuron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Machine Learning Engineering Manager to lead the design, development, and deployment of intelligent systems that solve complex business problems across various industries. The role involves mentoring junior engineers, managing multi-workstream ML projects, and establishing MLOps best practices while serving as a trusted advisor to clients.
ConsultingInformation TechnologyProfessional Services
Responsibilities
Lead and mentor junior ML engineers and data scientists—provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team
Manage complex multi-workstream ML projects—oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence
Design and architect end-to-end ML solutions—from data pipelines and feature engineering through model training, evaluation, and production deployment. Make key technical decisions and own the overall solution architecture
Lead development of both traditional ML and generative AI systems, including supervised/unsupervised learning, time-series forecasting, NLP, LLM applications, RAG architectures, and agent-based systems using frameworks like Agent Framework, LangChain, LangGraph, or similar
Build financial and operational models that drive business decisions—demand forecasting, pricing optimization, risk scoring, anomaly detection, and process automation for commercial enterprises
Establish MLOps best practices—define and implement CI/CD pipelines, model versioning, monitoring, drift detection, and automated retraining standards to ensure solutions remain reliable in production
Serve as a trusted advisor to clients—build long-standing partnerships, understand business problems, translate requirements into technical solutions, and communicate results to both technical and executive audiences
Contribute to practice development—participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's DSML capabilities
Qualification
Required
5+ years of hands-on experience building and deploying ML solutions in production—not just notebooks and prototypes. You've trained models, put them into production, and maintained them at scale
Experience leading and developing technical teams—including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent
Strong Python and JavaScript programming skills with deep experience in the ML ecosystem (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow, etc.) and proficiency with JavaScript web app development
Solid foundation in ML fundamentals: supervised and unsupervised learning, model evaluation, feature engineering, hyperparameter tuning, and understanding of when different approaches are appropriate
Experience with cloud ML platforms, particularly Azure Machine Learning, with working knowledge of AWS SageMaker or Google AI Platform. We're platform-flexible but Microsoft-preferred
Proficiency with data platforms: SQL, Snowflake, Databricks, or similar. You're comfortable working with large datasets and architecting data pipelines
Experience with LLMs and generative AI: prompt engineering, fine-tuning, embeddings, RAG systems, or agent frameworks. You understand both the capabilities and limitations
Excellent communication and client management skills—ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field (or equivalent practical experience)
Willingness to travel approximately 30% to client sites as needed
Preferred
Experience in Financial Services, Manufacturing, or Energy & Utilities industries
Background in forecasting, optimization, or financial modeling applications
Experience with deep learning frameworks such as PyTorch, Tensorflow, fastai, DeepSpeed, etc
Experience with MLOps tools such as MLflow and Weights & Biases
Contributions to open-source projects or familiarity with open-source ML tools and frameworks
Experience building agentic AI systems using Agent Framework (or predecessors), LangChain, LangGraph, CrewAI, or similar frameworks
Cloud certifications (Azure AI Engineer, AWS ML Specialty, or Databricks ML Associate)
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces
Master's degree or PhD in a quantitative field
Benefits
Resources for continuous learning
Conference attendance
Certification
Company
Huron
Huron is a global professional services firm that collaborates with clients to put possible into practice by creating sound strategies, optimizing operations, accelerating digital transformation, and empowering businesses and their people to own their future.
5001-10000 employees
H1B Sponsorship
Huron has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (40)
2024 (42)
2023 (37)
2022 (31)
2021 (44)
2020 (32)
Funding
Current Stage
Public CompanyTotal Funding
unknown2004-10-13IPO
Leadership Team
C. Mark Hussey
President and CEO
J. Ronald Dail
EVP - Chief Operating Officer
Recent News
2025-11-21
MarketScreener
2025-11-05
Company data provided by crunchbase