19 enriched SWE postings in 2026-W44. Share = postings mentioning the technology ÷ that number — postings still awaiting enrichment are excluded from the denominator, so a processing backlog cannot depress every share at once. The chart shows the top 15; the table in section 3 lists the top 30.
| Technology | Share | Change | Postings |
|---|---|---|---|
| machine-learning | 84.2% | +19.0pp | 16 |
| rag | 52.6% | +13.8pp | 10 |
| python | 94.7% | +9.8pp | 18 |
| llm | 63.2% | +9.6pp | 12 |
Nothing fell this week.
Change is in percentage points of share, not relative percent: a technology going from 1 to 3 postings would otherwise read as +200% and top the board. Boards consider every technology above the bar, not only the 30 the table below shows.
Premium compares the median advertised monthly salary of postings mentioning a technology against the overall median, over the trailing 90 days. Baseline: S$6750, the median of 234 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (234 of 234, in any unit); the rest hide it, and no figure here describes them. Entry-friendly is computed over the same 90-day window. Premium mixes seniority in (senior roles name more infrastructure); pick an experience band above to compare within one. Entry-friendly = the share of postings mentioning the technology that ask for at most 2 years' experience, or are Intern/Junior roles with no stated requirement. The table lists the top 30 technologies by postings.
| Technology | Kind | Postings | Share | Salary premium | Entry-friendly |
|---|---|---|---|---|---|
| python | language | 18 | 94.7% | -3.7% | 100.0% |
| machine-learning | ai | 16 | 84.2% | +11.1% | 100.0% |
| llm | ai | 12 | 63.2% | -3.7% | 100.0% |
| rag | ai | 10 | 52.6% | -3.7% | 100.0% |
| pytorch | ai | 9 | 47.4% | -3.7% | 100.0% |
| tensorflow | ai | 9 | 47.4% | -3.7% | 100.0% |
| generative-ai | ai | 7 | 36.8% | -6.7% | 100.0% |
| aws | cloud | 6 | 31.6% | -3.7% | 100.0% |
| azure | cloud | 6 | 31.6% | -12.6% | 100.0% |
| langchain | ai | 6 | 31.6% | -7.4% | 100.0% |
| computer-vision | ai | 5 | 26.3% | -11.1% | 100.0% |
| docker | tool | 5 | 26.3% | +0.0% | 100.0% |
| git | tool | 5 | 26.3% | -14.8% | 100.0% |
| google-cloud | cloud | 5 | 26.3% | -12.6% | 100.0% |
| nlp | ai | 5 | 26.3% | +40.7% | 100.0% |
| sql | language | 5 | 26.3% | -3.7% | 100.0% |
| deep-learning | ai | 4 | 21.1% | +17.0% | 100.0% |
| kubernetes | tool | 4 | 21.1% | +3.7% | 100.0% |
| openai | ai | 4 | 21.1% | -29.6% | 100.0% |
| scikit-learn | ai | 4 | 21.1% | -6.7% | 100.0% |
| javascript | language | 3 | 15.8% | —(n=19) | 100.0% |
| linux | tool | 3 | 15.8% | -29.6% | 100.0% |
| terraform | tool | 3 | 15.8% | —(n=5) | 100.0% |
| airflow | tool | 2 | 10.5% | —(n=7) | 100.0% |
| cpp | language | 2 | 10.5% | +44.4% | 100.0% |
| fastapi | framework | 1 | 5.3% | —(n=19) | 100.0% |
| github-actions | tool | 1 | 5.3% | —(n=1) | 100.0% |
| llama | ai | 1 | 5.3% | —(n=3) | 100.0% |
| postgresql | database | 1 | 5.3% | —(n=7) | 100.0% |
| react | framework | 1 | 5.3% | —(n=17) | 100.0% |
These are MyCareersFuture's own skill tags — the competencies the employer filled in on the form, over the trailing 90 days (2026-08-08 → 2026-11-05) across 234 postings. They are not the technology ranking above: languages and frameworks appear only in the free-text description, which is why this system reads it separately. "Must-have" is the share of postings listing the tag that marked it essential rather than desirable — a tag that is everywhere but rarely essential is table stakes, one that is usually essential is a filter someone is applying.
| Skill | Postings | Share | Marked must-have |
|---|---|---|---|
| Computer Science | 82 | 35.0% | 7.3% |
| Machine Learning | 80 | 34.2% | 10.0% |
| Python | 70 | 29.9% | 11.4% |
| PyTorch | 67 | 28.6% | 16.4% |
| TensorFlow | 59 | 25.2% | 8.5% |
| Artificial Intelligence | 53 | 22.6% | 7.5% |
| Data Science | 45 | 19.2% | 11.1% |
| LLMs | 43 | 18.4% | 14.0% |
| Ai | 36 | 15.4% | 11.1% |
| Computer Engineering | 36 | 15.4% | 5.6% |
| AI Agents | 34 | 14.5% | 14.7% |
| Natural Language Processing | 33 | 14.1% | 3.0% |
| Programming | 31 | 13.2% | 3.2% |
| Linux | 29 | 12.4% | 20.7% |
| Computer Vision | 28 | 12.0% | 21.4% |