The FINALES 2 Optimiser (F2Opt) is a software tenant implementing a Bayesian optimisation (BO) procedure. The role and responsibility of F2Opt in the MAP is to request new results from the data-producing methods available in the MAP, with the aim to optimise some predefined objective(s). In general, F2Opt is configured to iteratively consume previously reported results from the FINALES database, use the data to train a machine learning model, and apply a BO procedure to propose new electrolyte formulations which are then included in new requests submitted to FINALES. The specific optimisation task, including what data to consume and which quantities to optimise, is specified in a configuration file and multiple configurations of F2Opt can be deployed in parallel to accommodate the specific objectives of the MAP. In this work, we deployed two instances of F2Opt configured to optimise conductivity (the OCond configuration) and EOL (the OEOL configuration), respectively.