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MLOps Engineer

Keep AI systems running smoothly after launch

💡 Why it matters: An AI model that works in a test can fail when real life changes. MLOps (machine learning operations) engineers make sure models are released safely, watched closely and fixed or updated when needed.

🌍 Around the world

💰 What it can pay

🇳🇬 Nigeria

Starting out
₦2M – ₦5M
Mid-career
₦6M – ₦14M
Senior
₦14M – ₦30M

≈ ₦500k – ₦1.2M a month mid-career. Indicative estimate by Incusim.

🇬🇧 United Kingdom

£30k – £75k

Closest National Careers Service profile: Software developer. Typical starter to experienced salary. National Careers Service, 2026

🇺🇸 United States

$136k typical
Range $82.5k – $214.7k

Closest US category: Software developers. Median pay; low and high are the 10th and 90th percentiles.. US Bureau of Labor Statistics, May 2025

🇨🇦 Canada

CA$72.8k – CA$190k

Closest Job Bank occupation: DevOps engineer. Hourly wage low/high x 2,080 hours (no national median shown). Job Bank (Government of Canada), 2023-2024

Yearly pay before tax. UK, US and Canada figures come from the official sources named on each card. Nigeria has no official salary survey, so those are our indicative estimates. Real pay depends on the employer, the place, your skills and experience.

🛠️ What you actually do

⚡ Skills you'll need

Get ready at school

🇳🇬 Nigeria

Subjects to be good at
MathematicsPhysicsComputer StudiesFurther MathematicsEnglish Language
Qualifications
BSc in Computer Science, Computer Engineering, Electrical and Electronics Engineering or Software Engineering (UTME, the JAMB entrance exam, usually needs English, Mathematics, Physics and one more science; check each school)Cloud certifications from major providers
Other ways in
  • Starting in IT support, software development or DevOps (the practice of releasing and running software reliably)
  • Online courses in cloud and machine learning with hands-on projects

🇬🇧 United Kingdom

Subjects to be good at
Maths (GCSE and A-level)Computer Science (GCSE and A-level)Physics (A-level)English (GCSE)
Qualifications
Degree in computer science, software engineering or a related subject (applied for through UCAS, the university application service)Cloud certifications from major providers
Other ways in
  • Software developer or digital degree apprenticeships (study while you work)
  • Starting in IT support, software development or DevOps, then moving into machine learning systems

🇺🇸 United States

Subjects to be good at
Math through algebra and, if offered, calculusComputer science (AP, or Advanced Placement, Computer Science A)PhysicsEnglish
Qualifications
Bachelor's degree in computer science, software engineering or computer engineeringAssociate degree in computer science or IT from a community collegeCloud certifications from major providers
Other ways in
  • Starting in IT help desk, software development or DevOps
  • Online courses in cloud and machine learning with hands-on projects

🇨🇦 Canada

Subjects to be good at
Grade 12 EnglishGrade 12 Math (requirements vary by province)Computer science or IT courses where your school offers themPhysics (asked for by some programs)
Qualifications
University bachelor's degree in computer science, software engineering or computer engineeringCollege diploma in computer systems technology or software developmentCloud certifications from major providers
Other ways in
  • Co-op programs that mix study with paid work placements
  • Starting in IT support, software development or DevOps

🗺️ Your path to this career

  1. 1Learn how computers and networks work, and start coding in Python
  2. 2Study computer science or software engineering, or build skills through projects and online courses
  3. 3Practise running small apps in the cloud and automating the steps to release them
  4. 4Train a simple AI model and set up a pipeline that tests and releases it
  5. 5Join a software or data team, then specialise in running machine learning systems

⏰ A day in the life

An alert tells you a model that suggests delivery routes has started giving odd results. You compare today's data with the data it learned from and find a changed format. You fix the data step, roll the model back to the last good version and add a check so the team is warned sooner next time.

🔗 Related careers

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