Job Title

We are looking for aSenior Software Engineerto lead the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment.In order to make an application, simply read through the following job description and make sure to attach relevant documents.We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions.If this sounds like you, we can't wait to hear from you!KEY RESPONSIBILITIES:Lead the design, development, and implementation of complex AI models and algorithmsDefine data collection, cleaning, and pre-processing strategiesArchitect and maintain robust data pipelines and data management systemsLead the training of machine learning models, ensuring high performance and scalabilityBuild processes for extracting, cleaning and transforming data (SQL / Python)Optimize model parameters and architectures for maximum efficiency and accuracyEnsure seamless integration of AI solutions with existing systems and applicationsStay updated with the latest advancements in AI and machine learningPresent findings to clients through written documentation, calls and presentationsBe an example of software engineering best-practice e.g. Git / Docker / cloud deploymentContribute to proposals for exciting new data science opportunitiesProvide direction and mentoring to more junior software engineersREQUIRED SKILLS:Degree in a quantitative field such as engineering, mathematics, financeProven experience of successfully delivering complex software projectsProven experience of delivering design, development, testing, and deployment of software solutions and holistic understanding of the software development process, from design through to deployment, and associated project management and risksProven experience of code reviews in Python and SQL through Git, and applying other best practices to technical projectsProven experience of developing data engineering pipelines, backend services and APIsProven experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for developmentExtensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trendsDeep expertise of at least one programming languageDeep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash)A holistic understanding of the software development process, from design through to deployment, and associated project management and risksAdvanced Docker with deep understanding of Docker storage and Volumes, linux permissionsUnderstanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursionExcellent communication skills through written reports and presentationsAbility to review others' codeAbility to effectively line manage and mentorINTERVIEW PROCESS:Stage 1: 20 min video call with the Hiring ManagerStage 2: Task/Case StudyStage 3: 90 min F2F interview in our London officeOUR COMMITTMENT TO DEI:At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at careers@adsp.ai#J-18808-Ljbffr