I’m Saurabh Srivastava, and I’ve spent the last decade as a talent researcher — tracking roles, salaries, and workforce changes across industries and continents.
It started as curiosity. Why do some careers take off while others stall? Over time, that curiosity turned into a profession. These days, I spend hours each week talking to recruiters in London, CTOs in Toronto, founders in Singapore — and combing through workforce data to see what’s real versus hype.
And here’s the truth I see in 2025:Jobs aren’t disappearing. They’re mutating.
Roles You Can’t Ignore
Prompt Engineer
A contact in Berlin moved from content strategy into prompt engineering. Within a year, his salary rose from €55k to €85k.
“Every company using AI needs someone who can make the model sound smart, safe, and on-brand.”
- Skills: NLP basics, Python, problem-solving, creativity.
Salaries:
- US → $110k–$150k (senior up to $200k)
- UK → £80k–£110k
- Germany → €70k–€90k
- Singapore → S$6k–S$9k/month (~$72k–$110k/yr)
- Latin America → $4.5k–$6k/month
AI / ML Engineer
I tracked a Canadian engineer who went from CAD 95k to CAD 140k by adding ML Ops to his toolkit. That’s a 50% jump in one move.
- Skills: TensorFlow, PyTorch, deployment, cloud platforms.
Salaries:
- US → $145k–$200k+
- Canada → CAD 110k–150k
- Switzerland → $140k–$160k
- Australia → AU$110k–150k
- Japan → $20k–$85k depending on seniority
💡 Why it matters: Every company wants AI in their workflows. Running models at scale is still painful. Engineers who can do it well are rare — and rewarded.
Data Scientist (Reinvented)
Despite the headlines, data science is not dead. It’s just different now. Companies want domain expertise + storytelling, not just dashboards.
“The best data scientists don’t just explain what happened. They convince leaders what to do next.”
Salaries:
- US → $110k–$150k
- UK → £70k–£95k
- India → ₹15L–₹25L mid-level, ₹30L+ for niche expertise
- Brazil / Mexico → $45k–$70k
Cloud / ML Ops Engineer
I’ve heard this from more than one CTO: “Building the model is easy. Scaling it is where we bleed money.”
- Skills: AWS, Azure, GCP, Kubernetes, Terraform, observability.
Salaries:
- US → $150k–$250k senior
- Europe → €80k–€120k
- Singapore → $100k–$140k
- Australia → AU$110k–140k
📌 Why it matters: These roles may not sound glamorous, but they’re the backbone of the AI boom.
Cybersecurity & AI Governance
In Dubai, a CIO told me bluntly:
“AI is useless if regulators shut us down.”
- Skills: Secure coding, compliance (EU AI Act, GDPR), bias testing, AI ethics.
- Salaries:
- US → $130k–$180k
- UK → €80k–€130k
- UAE / Saudi → $100k–$140k (often tax-free, with housing benefits)
🌐 Salary Snapshots Without the Tables
To make this real, here’s how salaries look across countries for the three hottest roles — Prompt Engineers, AI/ML Engineers, and Cloud/MLOps.
- In the US, Prompt Engineers earn $110k–$150k, senior AI Engineers easily cross $200k, and Cloud/MLOps leads go as high as $250k.
- In Canada, mid-level Prompt Engineers make CAD 90k–120k, senior AI Engineers CAD 120k–150k, and Cloud/MLOps slightly lower but steady at CAD 110k–140k.
- In the UK, Prompt Engineers average £80k–110k, senior AI Engineers £110k–150k, and Cloud/MLOps around £100k–140k.
- In Germany, Prompt Engineers fall in the €70k–90k band, senior AI Engineers at €100k–130k, and Cloud/MLOps €90k–120k.
- In Switzerland, some of the highest pay: CHF 120k–140k for Prompt Engineers, CHF 160k for senior AI Engineers, and CHF 130k–150k for Cloud/MLOps.
- In Singapore, Prompt Engineers earn $72k–110k, senior AI Engineers $100k–150k, and Cloud/MLOps $100k–140k.
- In Australia, Prompt Engineers make AU$90k–120k, senior AI Engineers AU$110k–150k, and Cloud/MLOps AU$110k–140k.
- In Japan, salaries are lower overall: Prompt Engineers $40k–60k, senior AI Engineers $70k–90k, Cloud/MLOps $80k–100k.
- In Latin America, Prompt Engineers land between $54k–72k, senior AI Engineers $60k–90k, and Cloud/MLOps $65k–95k.
- In the UAE and Saudi Arabia, Prompt Engineers $80k–100k, senior AI Engineers $100k–140k, and Cloud/MLOps $100k–150k — often with tax-free packages and perks.
✈️ Where To Move (and Why)
- Bangalore & Hyderabad → AI labs and global capability centres expanding fast.
- London & Berlin → Great for AI + product roles (but taxes bite).
- Singapore → Asia’s AI hub; expensive but balanced by salaries.
- Toronto & Vancouver → Strong research clusters, immigration-friendly.
- Dubai & Riyadh → Tax-free, high packages, heavy government AI investment.
My Take as a Researcher
- For stability, Cloud and Cybersecurity are safer bets.
- For growth and premium pay, Prompt Engineers and AI Engineers are skyrocketing.
- For career mobility, Data + AI Product roles transfer across industries and geographies.
“2025 isn’t about fearing AI. It’s about keeping pace with it. Jobs haven’t disappeared — they’ve just changed shape.”
And here’s what I believe: the faster you adapt, the more you thrive.
Final Thought
The global job market isn’t shrinking. It’s shifting. Those who reskill, stay curious, and move where opportunity is — whether that’s Bangalore, Berlin, or Boston — will find 2025 to be the most exciting year of their career.
So let me ask you this: If you could relocate today for your career, which country would you choose, and why?
POSTS ACROSS THE NETWORK
What Niche Platforms Exist for Specific Developer Communities?
Can Neural Networks Simulate Genetics? Inside AI Face Prediction
Is Your Database Schema Ready For Multi-Region Compliance?
