About The RoleImagine building the bleeding edge, data-driven Artificial Intelligence and Machine Learning systems that will revolutionise your company’s success using the latest in Open Source tooling.That’s what a global FinTech powerhouse is throwing huge funding behind in a multi-year initiative, by building a brand new team to launch AI/ML tools and systems across the firm on a global scale.
Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.
You will be researching and building these systems to serve 1000s of users globally.This is the first project of its kind in the industry being done at this scale, and they have already attracted some of the brightest minds with incredible academic pedigree.
You will be coding primarily in Python, and building and productionising machine learning/NLP models to solve complex business problems.Must Have:A postgraduate (Masters/M.Sc.
or PhD) in machine learning, AI, computer science or similar STEM field.Excellent object-oriented (OOP) Python engineering skills.Experience building and/or productionising machine learning models.Nice to have:Experience facing-off to machine learning researchers, data scientists or similar.Strong grounding in computer science fundamentals. xsabvtc Experience with ultra-large datasets.For more information, please email
Python Machine Learning Engineer – Core ML/AI Tooling Team – Ultra-Large Data Analytics in Vauxhall employer: Stanford Black
As a leading research and quant trading firm, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our investment in cutting-edge technology and methodologies, ensuring that our software engineers are at the forefront of industry advancements. Located in the heart of the city, we offer market-leading compensation, competitive bonuses, and a strong emphasis on work-life balance, making us an exceptional employer for those seeking meaningful and rewarding careers.
