PyCall setup for pickle consistency between machines

General Usage
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I have a pickled file with 2 arrays. The first array is a floating point array, the second is a UInt8 array. On one machine pickle.load(F) twice loads both arrays, while on the other it does not. Instead I get

ERROR: PyError ($(Expr(:escape, :(ccall(#= ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:43 =# @pysym(:PyObject_Call), PyPtr, (PyPtr, PyPtr, PyPtr), o, pyargsptr, kw))))) <class 'OSError'>
OSError('MethodError: no method matching pybytes(::Int64)\nClosest candidates are:\n  pybytes(!Matched::Union{String, DenseVector{UInt8}}) at ~/.julia/packages/PyCall/BD546/src/serialize.jl:27\nStacktrace:\n  [1] (::PyCall.var"##readinto#274#95")(self::PyObject, b::Vector{UInt8})\n    @ PyCall ~/.julia/packages/PyCall/BD546/src/io.jl:23\n  [2] invokelatest(::Any, ::Any, ::Vararg{Any, N} where N; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})\n    @ Base ./essentials.jl:708\n  [3] invokelatest(::Any, ::Any, ::Vararg{Any, N} where N)\n    @ Base ./essentials.jl:706\n  [4] _pyjlwrap_call(f::Function, args_::Ptr{PyCall.PyObject_struct}, kw_::Ptr{PyCall.PyObject_struct})\n    @ PyCall ~/.julia/packages/PyCall/BD546/src/callback.jl:32\n  [5] pyjlwrap_call(self_::Ptr{PyCall.PyObject_struct}, args_::Ptr{PyCall.PyObject_struct}, kw_::Ptr{PyCall.PyObject_struct})\n    @ PyCall ~/.julia/packages/PyCall/BD546/src/callback.jl:44\n  [6] macro expansion\n    @ ~/.julia/packages/PyCall/BD546/src/exception.jl:95 [inlined]\n  [7] #107\n    @ ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:43 [inlined]\n  [8] disable_sigint\n    @ ./c.jl:458 [inlined]\n  [9] __pycall!\n    @ ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:42 [inlined]\n [10] _pycall!(ret::PyObject, o::PyObject, args::Tuple{IOStream}, nargs::Int64, kw::Ptr{Nothing})\n    @ PyCall ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:29\n [11] _pycall!(ret::PyObject, o::PyObject, args::Tuple{IOStream}, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})\n    @ PyCall ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:11\n [12] (::PyObject)(args::IOStream; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})\n    @ PyCall ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:86\n [13] (::PyObject)(args::IOStream)\n    @ PyCall ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:86\n [14] top-level scope\n    @ REPL[8]:1\n [15] eval\n    @ ./boot.jl:360 [inlined]\n [16] eval_user_input(ast::Any, backend::REPL.REPLBackend)\n    @ REPL ~/tmp/julia/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:139\n [17] repl_backend_loop(backend::REPL.REPLBackend)\n    @ REPL ~/tmp/julia/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:200\n [18] start_repl_backend(backend::REPL.REPLBackend, consumer::Any)\n    @ REPL ~/tmp/julia/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:185\n [19] run_repl(repl::REPL.AbstractREPL, consumer::Any; backend_on_current_task::Bool)\n    @ REPL ~/tmp/julia/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:317\n [20] run_repl(repl::REPL.AbstractREPL, consumer::Any)\n    @ REPL ~/tmp/julia/usr/share/julia/stdlib/v1.6/REPL/src/REPL.jl:305\n [21] (::Base.var"#874#876"{Bool, Bool, Bool})(REPL::Module)\n    @ Base ./client.jl:387\n [22] #invokelatest#2\n    @ ./essentials.jl:708 [inlined]\n [23] invokelatest\n    @ ./essentials.jl:706 [inlined]\n [24] run_main_repl(interactive::Bool, quiet::Bool, banner::Bool, history_file::Bool, color_set::Bool)\n    @ Base ./client.jl:372\n [25] exec_options(opts::Base.JLOptions)\n    @ Base ./client.jl:302\n [26] _start()\n    @ Base ./client.jl:485')
  File "PyCall", line 1, in <lambda>

Stacktrace:
  [1] pyerr_check
    @ ~/.julia/packages/PyCall/BD546/src/exception.jl:62 [inlined]
  [2] pyerr_check
    @ ~/.julia/packages/PyCall/BD546/src/exception.jl:66 [inlined]
  [3] _handle_error(msg::String)
    @ PyCall ~/.julia/packages/PyCall/BD546/src/exception.jl:83
  [4] macro expansion
    @ ~/.julia/packages/PyCall/BD546/src/exception.jl:97 [inlined]
  [5] #107
    @ ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:43 [inlined]
  [6] disable_sigint
    @ ./c.jl:458 [inlined]
  [7] __pycall!
    @ ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:42 [inlined]
  [8] _pycall!(ret::PyObject, o::PyObject, args::Tuple{IOStream}, nargs::Int64, kw::Ptr{Nothing})
    @ PyCall ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:29
  [9] _pycall!(ret::PyObject, o::PyObject, args::Tuple{IOStream}, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ PyCall ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:11
 [10] (::PyObject)(args::IOStream; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ PyCall ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:86
 [11] (::PyObject)(args::IOStream)
    @ PyCall ~/.julia/packages/PyCall/BD546/src/pyfncall.jl:86
 [12] top-level scope
    @ REPL[8]:1

Both systems are running PyCall 1.92.3, python 3.9.4. On both systems, when I invoke python I can read both arrays. There are some older posts discussing a pybytes error, but none of those remedies have worked for me. I am at a loss what to change.