1 to 3 of 3 Permanent Data Structures Jobs in the City of London

Senior Data Engineer Title: Senior Data Engineer Location : City of London, United Kingdom Comp: £100,000 - £200,000 basic salary (DoE) Level: Mid-level to Senior Industry: Finance, Trading, Hedge fund, Capital Markets, Quant Tech stack: Python, pandas, SQL, ETL We're looking for Data Engineers at … a mid to senior level to a small specialised engineering team within a foremost trading company in London. This team provides critical data solutions, research, structuring, pipeline development and guidance to enhance the effectiveness of all trading and development teams. This is a hugely collaborative team that integrates themselves … across the business to proactively source issues and provide software solutions. About you 3+ years of experience in a data engineering position Proficiency in your Python programming and pandas/SQL Strong experience with data structures, pipeline development, data visualisation and large-scale data sets more »

C++ Software Engineer/Developer (C++ AI) London to £120k Are you a data centric technologist who has expertise with C++, looking for an opportunity to work on complex and interesting AI based systems? You could be progressing your career at a growing tech start-up as they expand … like searching for particular people and licence plates. As a C++ Software Engineer you will build Edge-computing and IoT applications for processing vision data and communication layers for the compute-constrained edge devices. You'll be deploying Machine Learning models to production and optimising the platform runtime performance … and 1800. About you: You're a skilled Software Developer/Engineer with a thorough knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns You have advanced level C++ skills (they're using C++20) including multithreading It would be advantageous to have experience with Edge more »

maintainable backend services using Python and Django. Confidence in deploying production applications on cloud platforms like AWS, Azure, or GCP. Strong background in solving data engineering challenges and working with data pipelines. Solid understanding of databases, data structures, algorithms, object-oriented design, and system architecture. Enthusiasm more »