What’s in it for me?

Hybrid (1-2 days per week in our London Office)Discretionary bonus of your basic salary, dependent on personal and company performance;Charity DaysIndividual, dedicated Training and Development budgetPensionBike to work and other relevant schemesAbout 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 difference

Ability to clearly communicate complex technicalities to any audience

A passionate drive for code quality and 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 solution

Knows how to design data science solution architecture to process big input data through the data science application with low response time

Proficient 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 solutions

DevOps for Data science solutions in AWS (GCP - nice to have)

Code review of more junior members

Mentoring junior data scientists on the best practices in software development: clarity, modularity, maintainability, performance, organisation and testing / validation

Writing technical documentation

Collaborating with the database, java-developers and product teams

Performing agile development in partnership with the team; applying and contributing to evolving processes and tooling

Proactively 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 Science

Software engineering architecture design for application with integrated Data Science solutions

Jupyter server/notebooks

AWS: EC2, Sagemaker, S3

Git version control

SQL 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 queries

Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications

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