Senior AI/ML Engineer (Data Science & Software Focus)
Senior AI/ML Engineer (Data Science & Software Focus)
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Job Description
Whats in it for me
- Discretionary bonus of your basic salary dependent on personal and company performance;
- Charity Days
- Individual dedicated Training & Development budget
- Pension
- Bike to work and other relevant schemes
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 productionready systems.
We are looking for someone who:
Takes a key role in software implementation for the AIdriven 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:
Fullstack 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 javadevelopers and product teams
Performing agile development in partnership with the team; applying and contributing to evolving processes and tooling
Proactively acting to mitigate the companys 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
About You
Essential:
Minimum of 3 years experience working as handson 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 & results
About us
Required Experience:
Senior IC
Employment Type
Full-Time
