AI Engineering Researcher

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher'

Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.

A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition.

The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary approach to solving enterprise-AI problems.

Principal Activities of role : Data Pipeline Development :

• Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes.
• Data Integration and Management : Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata.
• System Architecture : Design robust, scalable, and high-performance data architectures using cloud-based platforms (e.g., AWS, Google Cloud, Azure).
• Performance Optimization : Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background :

Bachelor’s or Master’s degree in computer science / engineering / Math / Physics, plus one or more of the following :

Proficiency in programming languages such as Python, Java, or Scala.

Strong experience with SQL and database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases).

Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage

Familiarity with data warehousing solutions and cloud data platforms.

Background in building applications wrapped around AI / LLM / mathematical models

Ability to scale up algorithms to production

Key Proposition : - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence / Machine Learning, with a steep learning curve and an unmatched research experience.

Time Commitments : 100% (average 40 hours per week)