  Low mass (sub)stellar objects represent the low end of the initial mass
function, the transition to free-floating planets and a prominent interloper
population in the search for high-redshift galaxies. Without proper motions or
spectroscopy, can one identify these objects photometrically? JWST/NIRCam has
several advantages over HST/WFC3 NIR: more filters, a greater wavelength range,
and greater spatial resolution. Here, we present a catalogue of (sub)stellar
dwarfs identified in the Cosmic Evolution Early Release Science Survey (CEERS).
We identify 518 stellar objects down to $m_F200W \sim 28$ using half-light
radius, a full three magnitudes deeper than typical HST/WFC3 images. A kNN
nearest neighbour algorithm identifies and types these sources, using four
HST/WFC3 and four NIRCam filters, trained on SpeX spectra of nearby brown
dwarfs. The kNN with four neighbors classifies well within two subtypes: e.g
M2$\pm$2 or T4$\pm$2, achieving $\sim$95% precision and recall. More granular
typing results in worse metrics. In CEERS, we find 9 M8$\pm$2, 2 L6$\pm$2, 1
T4$\pm$2, and 15 T8$\pm$2. We compare the observed long wavelength NIRCam
colours -- not used in the kNN -- to those expected for brown dwarf atmospheric
models. The NIRCam F356W-F444W and F410M-F444W colours are redder by a
magnitude for the type assigned by the kNN, hinting at a wider variety of
atmospheres for these objects. We find a 300-350pc scale-height for M6$\pm$2
dwarfs plus a second structural component and a 150-200pc scale-height for
T6$\pm$2 type dwarfs, consistent with literature values.
