What's in it for me? Discretionary bonus of your basic salary, dependent on personal and company performance;Charity DaysIndividual, dedicated Training & Development budgetPensionBike to work and other relevant schemes About You Essential:Minimum of 3 years' experience working as hands-on Data Science Engineer or a role with similar responsibilities listed above at a reputable software development firm or in a comparable environment.You will have a blend of analytic and tech knowledge from a suitable STEM degree (Software Engineering degree preferable) and excellent communication skills.Advanced level in Python programming and software engineering architecture, DevOps for AI applications, some experience with SQL in any relational database.Desirable:An analytical and logical mind, be dynamic, positive, and ready to make a differenceAbility to clearly communicate complex technicalities to any audienceA passionate drive for code quality & results About the Role We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our growing data science team in London (we are 5 at the moment), who is especially passionate about software engineering of the Data science solutions. In this role, you will be responsible for contributing to architecture, Scaling and operationalising data science solutions into production-ready systems.We are looking for someone who:Takes a key role in software implementation for the AI-driven multiple stages workflows to address complex business challenges.Knows how to design optimal data science solution architecture given constraints and aims for that solutionKnows how to design data science solution architecture to process big input data through the data science application with low response timeProficient in integrating new solutions into existing architecture / systems with a focus on performance and maintainability.Core Responsibilities:Full-stack software engineering in Python of the Data Science solutionsDevOps for Data science solutions in AWS (GCP - nice to have)Code review of more junior membersMentoring junior data scientists on the best practices in software development: clarity, modularity, maintainability, performance, organisation and testing / validationWriting technical documentationCollaborating with the database, java-developers and product teamsPerforming agile development in partnership with the team; applying and contributing to evolving processes and toolingProactively acting to mitigate the company's risk, cost base and improve our ability to serve clients.Tech Skills Required:Advanced level of coding in Python for Data ScienceSoftware engineering architecture design for application with integrated Data Science solutionsJupyter server/notebooksAWS: EC2, Sagemaker, S3Git version controlSQL skills include selecting, filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queriesImplementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications