Machine Learning Engineer — Career Snapshot
| Average Salary | $145,000/year |
| Salary Range | $110,000 – $190,000 |
| Job Growth (2024–2034) | 40% (much faster than average) |
| Time to Job-Ready | 8–14 months (with programming + math background) or 14–24 months (from scratch) |
| Degree Required? | Not always — certifications + portfolio can substitute |
What Does a Machine Learning Engineer Do?
A Machine Learning Engineer is responsible for using their specialized skills to deliver value in one of the fastest-growing fields in tech. Day-to-day responsibilities vary by company and seniority, but the core of the role involves applying the skills listed below to solve real business problems.
The demand for qualified Machine Learning Engineers has surged in recent years, with the Bureau of Labor Statistics projecting 40% growth through 2034 — much faster than the national average for all occupations.
Essential Skills You Need
Based on our analysis of job postings and the courses in our database, here are the must-have skills ranked by importance:
Step-by-Step Roadmap to Becoming a Machine Learning Engineer
Step 1: Learn the Fundamentals (Month 1–2)
Start with the core foundational skills. Focus on the top 3 “Core” skills listed above. You don’t need a computer science degree — many successful Machine Learning Engineers are self-taught or career changers who learned through online courses.
→ See our recommended beginner courses
Step 2: Build Hands-On Projects (Month 2–4)
Theory alone won’t get you hired. Build 3–5 portfolio projects that demonstrate your skills. Employers want to see what you can do, not just what you know. Use real-world datasets and problems.
Step 3: Earn a Certification (Month 3–5)
A recognized certification validates your skills and gives you a competitive edge. Our top recommendations:
- Google Machine Learning Certificate
- IBM AI Engineering Professional Certificate
- AWS Machine Learning Specialty
Step 4: Build Your Professional Profile (Month 4–6)
Create a strong LinkedIn profile, GitHub portfolio (for technical roles), and a personal website or blog. Network with professionals in the field — join relevant communities, attend virtual meetups, and engage on social media.
Step 5: Apply Strategically (Month 5+)
Target entry-level Machine Learning Engineer positions, internships, and freelance gigs. Tailor your resume to each job description, highlighting relevant projects and certifications. Don’t be discouraged by “2+ years experience” requirements — many companies hire motivated candidates with strong portfolios and certifications.
Machine Learning Engineer Salary Breakdown
| Experience Level | Estimated Salary |
|---|---|
| Entry Level (0–2 years) | $110,000 |
| Mid Level (2–5 years) | $145,000 |
| Senior Level (5+ years) | $190,000+ |
Source: Glassdoor, Indeed, and Bureau of Labor Statistics data as of 2026. Salaries vary by location, company size, and industry.
Best Courses to Become a Machine Learning Engineer
Based on our expert reviews of 2,300+ courses, these are the highest-rated courses for aspiring machine learning engineers:
Browse all courses by topic:
A Day in the Life of a Machine Learning Engineer
While every company is different, a typical day for a Machine Learning Engineer might look like this:
- Morning: Review priorities, check dashboards and metrics, respond to messages from team members
- Mid-morning: Deep work — core technical or analytical tasks that require focused concentration
- Afternoon: Collaboration — meetings with stakeholders, code reviews, or cross-functional planning
- Late afternoon: Documentation, skill development, or working on longer-term strategic projects
Frequently Asked Questions
Can I become a Machine Learning Engineer without a degree?
Yes. While a bachelor’s degree in a related field can help, many employers now prioritize skills and experience over formal education. Industry certifications, a strong portfolio, and demonstrable skills are often sufficient — especially for entry-level positions.
How long does it take to become a Machine Learning Engineer?
With focused study: 8–14 months (with programming + math background) or 14–24 months (from scratch). This assumes consistent effort of 15–20 hours per week. Some people break in faster through intensive bootcamps, while others take a more gradual approach alongside their current job.
What’s the job market like for Machine Learning Engineers in 2026?
Excellent. With 40% projected growth through 2034, demand significantly outpaces supply. Remote work opportunities are abundant, and salaries remain competitive even for entry-level positions.
Is $145,000 a realistic starting salary?
$145,000 is the average across all experience levels. Entry-level positions typically start at $110,000, with rapid salary growth as you gain experience. Location, industry, and company size also significantly impact compensation.
Last updated: March 2026. Salary data and job growth projections are based on BLS, Glassdoor, and Indeed data.