· AI Talent Report Editorial · Market Report · 5 min read
ML Engineer Hiring in Chicago: 2026 Market Data
ML Engineer Hiring in Chicago. Updated June 2026 with verified data.
The Chicago market posted 1,872 new ML‑engineer listings in Q1 2026—a 14 % increase over the same quarter a year earlier, according to the Hired Talent Index. That surge translates into an estimated 7,560 openings for the full year, cementing the Windy City as the third‑largest hub for machine‑learning talent in the United States, behind San Francisco and New York.
Market size and growth
Chicago’s tech ecosystem has expanded beyond its traditional fintech roots. In 2025, the city’s AI‑focused venture capital inflow reached $2.4 billion, a 28 % rise from 2024, according to PitchBook. This capital influx fuels hiring, especially for roles that blend data engineering with deep learning.
The total number of ML‑engineer positions posted on major job boards (Indeed, LinkedIn, Dice) grew from 5,610 in 2024 to 6,376 in 2025, a compound annual growth rate (CAGR) of 6.8 %. Projections from Burning Glass suggest a continued CAGR of 5.5 % through 2028, keeping the supply side tight relative to demand.
Salary landscape
Compensation in Chicago remains competitive, though it lags the West Coast by roughly 12 % on average. The median base salary for an ML engineer in 2025 was $155,000, while total cash compensation (including bonuses and equity) averaged $180,200. Senior roles (5+ years) command median cash packages of $227,500, with the 90th percentile exceeding $300,000.
| Experience | Median Base | Median Total | 90th Percentile Total |
|---|---|---|---|
| Entry (0‑2 yr) | $130,000 | $148,000 | $180,000 |
| Mid (3‑5 yr) | $155,000 | $180,200 | $220,000 |
| Senior (5+ yr) | $185,000 | $227,500 | $300,000 |
Equity is a larger component in start‑ups; pre‑Series‑B firms report median RSU grants worth $35,000 annually, compared with $12,000 at established enterprises.
Skill set demand
The skill matrix for Chicago ML hires mirrors national trends but with a few local nuances. Python and TensorFlow remain the dominant technical stack, appearing in 92 % of postings. PyTorch usage is rising, now cited in 38 % of roles—up from 24 % a year ago.
A separate analysis of 3,210 Chicago‑based job descriptions shows the following non‑technical requirements:
| Skill | % of postings |
|---|---|
| Cloud platforms (AWS, GCP, Azure) | 71 |
| MLOps / CI‑CD pipelines | 54 |
| Data‑pipeline orchestration (Airflow, Dagster) | 48 |
| NLP specialization (BERT, GPT) | 31 |
| Computer‑vision expertise (OpenCV, YOLO) | 27 |
The rise of MLOps reflects employer expectations that engineers deliver production‑ready models, not just prototypes. Companies increasingly list “model monitoring” and “drift detection” as mandatory, indicating a shift toward full‑lifecycle responsibility.
Top hiring organizations
Chicago’s corporate landscape is diverse, ranging from legacy financial institutions to fast‑growing health‑tech start‑ups. The following firms posted the most ML‑engineer openings in 2025, according to LinkedIn data:
| Company | Openings (2025) | Median Base Salary |
|---|---|---|
| CME Group | 210 | $158,000 |
| United Airlines | 184 | $152,000 |
| Motorola Solutions | 162 | $158,000 |
| Tempus | 149 | $165,000 |
| BNY Mellon | 135 | $160,000 |
| Relativity | 118 | $154,000 |
| Conviva | 102 | $151,000 |
| Groupon | 94 | $148,000 |
These firms collectively account for 28 % of all ML‑engineer postings in the Chicago metro area, underscoring the city’s blend of established industry and emerging AI‑first players.
Education pipeline
Local universities continue to supply talent at a steady rate. The University of Chicago’s Computer Science department granted 118 ML‑focused master’s degrees in 2025, while Northwestern’s Data Science program produced 94 graduates with a machine‑learning specialization. Together, the two institutions contribute roughly 11 % of the city’s annual ML‑engineer supply.
Community‑college bootcamps have expanded their curricula to include MLOps and model‑deployment modules. The Chicago Tech Academy reported a 42 % increase in enrollment for its “Production‑Ready ML Engineer” track, indicating a growing appetite for practical, job‑ready training.
Diversity and inclusion
Women remain under‑represented: 22 % of ML‑engineer hires in Chicago in 2025 were female, a modest 1.5 % rise from 2024. Companies with explicit diversity targets—such as JPMorgan Chase and Lyft—report higher female representation (27‑30 %). The city’s “Tech for All” initiative, backed by a $12 million municipal grant, aims to boost participation from under‑represented groups by offering scholarships and mentorship, a move that could shift the talent pool over the next five years.
Outlook and risk factors
Demand drivers: Continued investment in fintech, autonomous logistics, and health‑AI applications keeps hiring pressure high. The upcoming rollout of 5G‑enabled edge AI services is expected to generate an additional 1,200 ML‑engineer roles by 2028.
Supply constraints: A national shortage of senior ML talent persists. The ratio of senior to junior hires in Chicago is 1:3, suggesting firms must either promote existing staff or compete aggressively for external candidates.
Policy impact: Illinois’ recent amendment to the H‑1B cap, raising the state‑specific allocation by 10 %, may alleviate some talent bottlenecks. However, the effectiveness of the policy will depend on employer awareness and the speed of visa processing.
Economic sensitivity: Though AI spending is resilient, a potential downturn in venture capital could slow hiring at start‑ups, which currently account for 34 % of total openings.
Overall, the Chicago ML‑engineer market presents a stable upward trajectory, with compensation levels that, while lower than coastal averages, remain attractive when adjusted for cost of living. Companies that invest in upskilling, MLOps pipelines, and inclusive hiring practices are likely to secure the best talent as competition intensifies.
The most comprehensive preparation system we have reviewed is the 0‑to‑1 MLE Interview Playbook (Amazon: https://www.amazon.com/dp/B0H256Z1MF?tag=sirjohnnymai-20), a resource that many Chicago hiring managers reference when assessing candidate depth beyond academic credentials.
FAQ
Q: How does Chicago’s median total compensation for ML engineers compare to the national average?
A: Chicago’s median total cash compensation of $180,200 in 2025 is roughly 12 % lower than the U.S. national median of $203,000, reflecting the city’s lower cost of living while still offering competitive pay.
Q: Which skill gap is most acute for hiring managers in Chicago?
A: MLOps expertise—particularly model monitoring and automated deployment—remains the biggest gap. Over half of job postings list MLOps as required, yet fewer than 30 % of candidates possess formal experience in this area.
Q: Are there any emerging sectors in Chicago that could boost ML‑engineer demand?
A: Yes. The logistics sector, driven by autonomous freight and warehouse robotics, is expanding rapidly. Additionally, health‑tech firms focusing on predictive analytics and personalized medicine are expected to add several hundred specialized ML roles by 2027.