We are looking for a Lead Machine Learning Engineer who will design ML models with continuous training and build frameworks for data scientists. Apply for the vacancy if you are highly competent in creating and deploying production applications and data pipelines.

Lead Machine Learning Engineer at Mimica United Kingdom › London (Posted Mar 1 2022) Job description What we are building At Mimica, we're pioneering a novel approach to automation: our AI learns just by observing you work. Our software records users' clicks and keystrokes as they perform a task, uses ML to identify key steps, decisions, and repetition within this dataset, and then generates a "blueprint" for RPA bots. At the core of our ML pipeline is a technology translating noisy low-level computer actions into a clean, human-readable representation. Our approach to engineering We prioritise user needs first We work in small, project-based multi-disciplinary teams We have flexibility in terms of the problems we work on We own the full life cycles of our projects We avoid silos and encourage taking up tasks in new areas We balance quality and velocity We have a shared responsibility for our production code We each set our own routine to maximise our productivity What you will own In this role, you will own components of our Machine Learning pipeline end-to-end. This means analysing and preprocessing data, implementing pipelines, researching Computer Vision and NLP literature, as well as training, validating, and deploying models to production.

As IT organizations grow, so does the size of their codebases and the complexity of their ever-changing developer toolchain. Engineering leaders have very limited visibility into the state of their codebases, software development processes, and teams. By applying modern data science and machine learning techniques to software development, large enterprises have the opportunity to significantly improve their software delivery performance and engineering effectiveness. In the last few years, a number of large companies such as Google, Microsoft, Facebook and smaller companies such as Jetbrains and source{d} have been collaborating with academic researchers to lay the foundation for Machine Learning on Code. Machine Learning on Code (MLonCode) is a new interdisciplinary field of research related to Natural Language Processing, Programming Language Structure, and Social and History analysis such contributions graphs and commit time series.

My client is building the next generation of analytics tools. They are developing a platform that will fuel their global data and analytics offerings. Their clients will use their analytics solutions to derive insights around business trends. You will need to have industry experience working on a range of different Machine Learning disciplines, e.g. You will be an expert in building complex systems and have responsibility for inventing how they use technology, Machine Learning, and Data to enable the productivity of their clients.