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Machine Learning Engineer Jobs by City

7,095 open Machine Learning Engineer positions across 20 cities worldwide. Median salary $170,000. 4,301 posted in the last 7 days.

7,095
Open Positions
$170,000
Median Salary
20
Cities Hiring
2%
Remote Friendly
4,301
New This Week
20+
Companies Hiring
✨ AI Job Search 📄 Resume Example ✉ Cover Letter

💰 Salary Analysis

Salary data based on 322 positions with reported compensation (5% of all Machine Learning Engineer listings).

10th percentile
$102,000
25th percentile
$136,250
Median (50th)
$170,000
75th percentile
$200,000
90th percentile
$242,000

Average salary: $171,556

🎯 In-Demand Skills

Most frequently requested skills in Machine Learning Engineer job descriptions, ranked by mention frequency.

Machine Learning
Python
Deep Learning
AWS
NLP
PyTorch
GCP
CI/CD
Azure
Computer Vision
TensorFlow
Kubernetes
SQL
Pandas
NumPy

🌎 Salary & Jobs by City

Compare Machine Learning Engineer opportunities across 20 cities. Click any city for detailed market analysis.

City Jobs ▼ Median Salary Salary Range Companies New (7d)
Bengaluru 470 $170,000 $136,250 – $200,000 15 165
New Delhi 196 $170,000 $136,250 – $200,000 15 153
Mumbai 126 $170,000 $136,250 – $200,000 15 77
Hyderabad 113 $170,000 $136,250 – $200,000 15 52
Chennai 111 $170,000 $136,250 – $200,000 15 69
Gurugram 92 $170,000 $136,250 – $200,000 15 62
Pune 78 $170,000 $136,250 – $200,000 15 37
Belagavi 63 $170,000 $136,250 – $200,000 15 55
Noida 60 $170,000 $136,250 – $200,000 15 34
Secunderabad 60 $170,000 $136,250 – $200,000 15 32
Coimbatore 59 $170,000 $136,250 – $200,000 15 36
Kolkata 53 $170,000 $136,250 – $200,000 15 34
Thiruvananthapuram 53 $170,000 $136,250 – $200,000 15 35
Mysuru 51 $170,000 $136,250 – $200,000 15 34
Ahmedabad 49 $170,000 $136,250 – $200,000 15 33
Jamnagar 49 $170,000 $136,250 – $200,000 15 35
Bareilly 48 $170,000 $136,250 – $200,000 15 34
Bharatpur 48 $170,000 $136,250 – $200,000 15 34
Kolhapur 48 $170,000 $136,250 – $200,000 15 34
Jaipur 47 $170,000 $136,250 – $200,000 15 33

🏢 Top Employers

15 companies with the most Machine Learning Engineer openings globally.

Pacer Group 115 jobs
Renude 112 jobs
Huptech HR Solutions 110 jobs
Recro 95 jobs
CareerUS Solutions 93 jobs
CareerXperts Consulting 89 jobs
BIG Language Solutions 88 jobs
Grid Dynamics 61 jobs
Axionix Technologies 53 jobs
Spectral Consultants 50 jobs
Zemoso Technologies 49 jobs
Talentmatics 49 jobs

🌐 Where Machine Learning Engineers Work

India  6,404 jobs
United States  449 jobs
Germany  154 jobs
Canada  83 jobs
UAE  5 jobs

Machine Learning Engineer Job Market Overview (2026)

The Machine Learning Engineer job market is steadily growing, with 7,095 open positions tracked across 20 cities worldwide. In the past 30 days alone, 6,512 new positions were posted (4,301 in the last week), indicating strong and consistent demand from employers.

Compensation Landscape

The median salary for Machine Learning Engineer positions is $170,000, with the middle 50% of earners making between $136,250 and $200,000. Top earners (90th percentile) command $242,000 or more. Note that 95% of listings do not disclose salary, so actual compensation may differ in some markets. The highest-paying city is Bengaluru at $170,000 median, while Jaipur offers $170,000.

Remote Work Availability

2% of Machine Learning Engineer positions offer remote or hybrid work arrangements (157 listings). This role typically requires on-site presence, though select employers are offering flexible arrangements.

Skills That Get You Hired

Based on analysis of job descriptions, the most in-demand skills for Machine Learning Engineer roles are Machine Learning, Python, Deep Learning, AWS, NLP, and PyTorch. Including these keywords in your resume and cover letter can significantly improve your ATS match rate and interview chances.

How to Apply

Start by reviewing our Machine Learning Engineer resume example to see what top candidates include. Pair it with a strong cover letter tailored to your target company. Then use JobsChat AI to search all 7,095 positions and get matched based on your experience, preferred location, and salary expectations.

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