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Machine Learning Engineer — consultant network

Hiring evidence involving Python, FastAPI. First observed 10 Sept 2026; the response opens on justjoin.it.

Technology
PythonFastAPI
Budget
Not provided by source
Work format
Hiring
Role family
AI / ML engineer
Observed
10 Sept 202616 days old
Response destination
justjoin.it

Source job details

Structured facts are published only when supplied by the source; missing values are never invented.

Hiring organization
7N Sp. z o.o.
Source reference
OPP-20260910-1095
Location evidence
100% remote; Warsaw / Europe-Warsaw
Required skills
Python, PyTorch/TensorFlow/scikit-learn, SQL, Pandas/NumPy/Polars, FastAPI/Flask, structured and unstructured data, model evaluation and feature engineering
Expected duration
Project-based consultant network; specific assignment, hours and duration not published

What this signal says

The observed opportunity titled “Machine Learning Engineer — consultant network” enters this catalog as a market signal with a traceable source. Leadiy does not republish the original description. Instead, it separates a few decision-grade facts from the private operating record and adds context from the same demand dataset. That boundary matters: the public edition can help a developer or agency assess relevance, while the source remains responsible for complete requirements, eligibility, current status and the actual response flow. Any fact not shown here should be checked at that destination.

How the technology was normalized

For comparison across sources, Leadiy maps the visible stack to Python, FastAPI. Source marketplaces often mix frameworks, platforms, infrastructure and delivery language in one line, so a literal string would fragment the market view. The controlled catalog keeps stable concepts together while retaining the original stack as a concise fact below. Detection is multi-label: several technologies may be valid at once, and a stack combination is admitted only when its required components appear. Buyers and suppliers should still use the source page to confirm versions, depth and mandatory versus optional skills.

Commercial format

Leadiy reads the buying motion as Hiring. This matters because the response shape for a deliverable, contractor seat, formal proposal and employment application is not interchangeable. The category is a classifier output rather than a legal characterization, and the original post wins if its terms change. The available duration wording is “Project-based consultant network; specific assignment, hours and duration not published.” Work-location context is recorded as “Remote B2B consultant network, but the published application deadline has passed..”

Reading the budget

Budget data is unavailable from the source for this record. That is a statement about one missing field, not about whether the opportunity itself is public: this evidence page is published and indexable. Leadiy keeps the gap visible instead of inventing a midpoint or borrowing a number from another listing. Ask the source to confirm amount, currency, unit, inclusions and payment schedule before treating the opportunity as commercially qualified.

Demand context from Hiring Pulse

In the current 30-day Hiring Pulse, Python appears in 420 of 1392 observed opportunities (30.2%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This aggregate context is intentionally bounded. The denominator is the current observed sample, technology counting overlaps, and small buckets may be suppressed. A single listing cannot establish a trend, and a technology’s share in Leadiy’s feed is not market share. The useful comparison is operational: it shows whether the normalized topic recurs among recently observed opportunities and gives the individual signal a dated reference point. Direct leads, contact data, raw source rows and private qualification notes do not enter that public calculation.

Observation and publication timing

Timing here is explicit: observed by Leadiy on 10 Sept 2026, 02:29 UTC, 15 days old at the current request, then admitted to the public catalog after 42.10 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.

What looks similar

Similarity is based on shared normalized technology tags and then recency, not on company identity or copied source prose. "Senior Frontend Engineer with Python", "LLM Application Engineer", "AI Engineer — insurance platform" These neighbours are useful for comparing delivery shape, budget visibility and technology overlap. They are not duplicates and they do not imply that the same buyer, scope or qualification rules apply. When no suitable public neighbour exists, the page says so instead of padding the section with unrelated links. New public records can change this comparison set after their own delay and quality checks pass.

Where the response goes

Applying means leaving Leadiy for justjoin.it, identified here as Just Join IT. The link is the normalized direct source URL stored with the opportunity. No public form on Leadiy submits an application, and no contact detail is exposed as a shortcut. The destination can impose login, marketplace credits, identity checks, location limits or other terms that are outside this catalog. Verify the hostname and the current post before sharing information. If the source has closed or changed the opportunity, its live state is authoritative.

Public evidence versus earlier access

Leadiy sells timing, not a different truth: the same opportunities, one day earlier. Subscribers receive the fresh matched feed and private workflow before a record crosses its public time fence. The later page remains complete enough to stand alone, with provenance, classification, budget reading, aggregate context and related records. Subscription is not preferential treatment from the buyer, and it cannot guarantee availability or success. It is earlier awareness plus an operational workspace; the public catalog is the delayed evidence layer.

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