14 enriched SWE postings in 2026-W37. 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 | 85.7% | +31.9pp | 12 |
| python | 85.7% | +3.8pp | 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 185 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (185 of 185, 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 |
|---|---|---|---|---|---|
| machine-learning | ai | 12 | 85.7% | +11.1% | 100.0% |
| python | language | 12 | 85.7% | +3.7% | 100.0% |
| llm | ai | 6 | 42.9% | -11.1% | 100.0% |
| cpp | language | 5 | 35.7% | +11.1% | 100.0% |
| rag | ai | 5 | 35.7% | -11.1% | 100.0% |
| aws | cloud | 4 | 28.6% | -14.8% | 100.0% |
| azure | cloud | 4 | 28.6% | -15.6% | 100.0% |
| google-cloud | cloud | 4 | 28.6% | -18.5% | 100.0% |
| computer-vision | ai | 3 | 21.4% | +0.0% | 100.0% |
| generative-ai | ai | 3 | 21.4% | -11.1% | 100.0% |
| java | language | 3 | 21.4% | +11.1% | 100.0% |
| pytorch | ai | 3 | 21.4% | +3.7% | 100.0% |
| tensorflow | ai | 3 | 21.4% | +0.0% | 100.0% |
| docker | tool | 2 | 14.3% | +0.0% | 100.0% |
| linux | tool | 2 | 14.3% | +44.4% | 100.0% |
| mongodb | database | 2 | 14.3% | —(n=4) | 100.0% |
| nlp | ai | 2 | 14.3% | +44.4% | 100.0% |
| openai | ai | 2 | 14.3% | —(n=14) | 100.0% |
| redis | database | 2 | 14.3% | —(n=6) | 100.0% |
| css | language | 1 | 7.1% | —(n=2) | 100.0% |
| go | language | 1 | 7.1% | —(n=12) | 100.0% |
| html | language | 1 | 7.1% | —(n=3) | 100.0% |
| javascript | language | 1 | 7.1% | —(n=9) | 100.0% |
| kotlin | language | 1 | 7.1% | —(n=1) | 100.0% |
| kubernetes | tool | 1 | 7.1% | +3.7% | 100.0% |
| langchain | ai | 1 | 7.1% | -29.6% | 100.0% |
| nodejs | language | 1 | 7.1% | —(n=7) | 100.0% |
| php | language | 1 | 7.1% | —(n=1) | 100.0% |
| ruby | language | 1 | 7.1% | —(n=1) | 100.0% |
| shell | language | 1 | 7.1% | —(n=5) | 100.0% |
These are MyCareersFuture's own skill tags — the competencies the employer filled in on the form, over the trailing 90 days (2026-06-23 → 2026-09-20) across 185 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 |
|---|---|---|---|
| Machine Learning | 70 | 37.8% | 7.1% |
| PyTorch | 53 | 28.6% | 11.3% |
| Artificial Intelligence | 51 | 27.6% | 5.9% |
| Python | 51 | 27.6% | 3.9% |
| Computer Science | 48 | 25.9% | 6.2% |
| TensorFlow | 41 | 22.2% | 0.0% |
| Data Science | 37 | 20.0% | 5.4% |
| Natural Language Processing | 36 | 19.5% | 8.3% |
| C++ | 26 | 14.1% | 3.8% |
| Computer Vision | 26 | 14.1% | 26.9% |
| Pipelines | 26 | 14.1% | 3.8% |
| Linux | 24 | 13.0% | 16.7% |
| Data Pipeline | 21 | 11.4% | 9.5% |
| Design | 21 | 11.4% | 0.0% |
| LLMs | 21 | 11.4% | 9.5% |