AI Engineer
CUBE
full-time
Posted on:
Location Type: Hybrid
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AzureCloudNoSQLPythonSQL
About the role
- Drive the development and continuous improvement of AI/ML-powered products.
- Develop, improve and productionise ML and LLM-based features.
- Leverage cloud architecture primarily Azure to deploy interpretable ML/DL solutions.
- Collaborate with SMEs for research proposals targeting CUBE’s dynamic data.
- Continuously seek opportunities to innovate, learn, and apply the latest research to new products and services.
Requirements
- At least two years of professional experience in ML, ideally within the NLP domain.
- Solid understanding of statistical and machine learning techniques.
- Ability to write clear, robust, and testable code in Python.
- Confident using SQL and NoSQL/graph databases.
- Solid understanding of data structures, data modelling, and software architecture, especially cloud-based.
- A systems thinking approach with ability to think in O(n) as much as plan product orchestration.
- An engineer who can keep up with mathematically and statistically-oriented colleagues.
- Natural creativity with a track record of exploring innovative use cases of data and applications of statistical/ML methods.
- Strong communication skills, capable of explaining complex technical concepts to employees across the business.
- Experience building and deploying LLM-based agentic solutions into production is desirable.
- Solid understanding of recommender system principles is also desirable.
- Demonstrated proficiency through GitHub profiles, Stack Overflow or Kaggle contributions is desired.
Benefits
- Professional development opportunities
- Flexible working hours
- An inclusive environment for all employees
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processingPythonSQLNoSQLdata structuresdata modelingcloud architecturestatistical techniquesrecommender systems
Soft skills
strong communication skillscreativitysystems thinkingcollaborationinnovation