For positive integers $y$, I would like to evaluate $$\frac{d}{dx} \log \sum_{m=0}^\infty \frac{x^m m^y}{m!}.$$ That's the whole question. It's a small bit of a research problem.
Symbolic math programs are capable of this calculation for fixed $y$, but I cannot discern a pattern.
$$y=1: \quad \frac{1+x}{x}$$ $$y=2: \quad \frac{1+3x+x^2}{x+x^2}$$ $$y=3: \quad \frac{1+7x+6x^2+x^3}{x+3x^2+x^3}$$ $$y=4: \quad \frac{1+16x+25x^2+10x^3+x^4}{x+7x^2+6x^3+x^4}$$ $$y=5: \quad \frac{1 + 31 x + 90 x^2 + 65 x^3 + 15 x^4 + x^5}{x + 15 x^2 + 25 x^3 + 10 x^4 + x^5}$$ $$y=6: \quad \frac{1 + 63 x + 301 x^2 + 350 x^3 + 140 x^4 + 21 x^5 + x^6}{x + 31 x^2 + 90 x^3 + 65 x^4 + 15 x^5 + x^6}$$
As pointed out by @Claude Leibovici, it suffices to identify the polynomial
$$ \sum_{m=0}^{\infty} \frac{m^y}{m!}x^m. $$
This is related to the Stirling numbers of the second kind $\left\{{n \atop k}\right\}$ in the following way: It is well-known that
$$ z^n = \sum_{k=0}^{n} \left\{{n \atop k}\right\}(z)_k, $$
where $(z)_k = z(z-1)\dots(z-k+1)$ is the falling factorial. Replacing $z$ and $n$ by $m$ and $y$,
$$ m^y = \sum_{k=0}^{y} \left\{{y \atop k}\right\}\frac{m!}{(m-k)!}, $$
where we regard $\frac{1}{(m-k)!} = 0$ if $k > m$. Then
\begin{align*} \sum_{m=0}^{\infty} \frac{m^y}{m!}x^m &= \sum_{m=0}^{\infty} \left( \sum_{k=0}^{y} \left\{{y \atop k}\right\}\frac{m!}{(m-k)!} \right) \frac{x^m}{m!} \\ &= \sum_{k=0}^{y} \left\{{y \atop k}\right\} \sum_{m=k}^{\infty} \frac{x^m}{(m-k)!} \\ &= \sum_{k=0}^{y} \left\{{y \atop k}\right\} x^k e^x. \end{align*}
This kind of polynomials arises in various fields so often that it is given a special name. Indeed, the family of polynomials defined by
$$ T_n(x) := \sum_{k=0}^{n} \left\{ {n \atop k} \right\} x^k $$
is called the Touchard polynomials. Then using this,
$$ \frac{\mathrm{d}}{\mathrm{d}x} \sum_{m=0}^{\infty} \frac{m^y}{m!}x^m = \sum_{m=0}^{\infty} \frac{m^{y+1}}{m!}x^{m-1} = \frac{1}{x}T_{y+1}(x)e^x $$
and therefore
$$ \frac{\mathrm{d}}{\mathrm{d}x} \log \left( \sum_{m=0}^{\infty} \frac{m^y}{m!}x^m \right) = \frac{T_{y+1}(x)}{x T_y(x)}. $$