Position Overview
Join us as an Applied AI Engineer and contribute to the development and delivery of scalable AI and machine learning solutions across Barclays. This role supports enterprise AI solutions, ensuring they are reliable, secure, and aligned with engineering and governance expectations. You will work with modern AI approaches, including GenAI, and collaborate with stakeholders to drive sustainable innovation.
Key Responsibilities
- Build and maintain systems that collect, store, process, and analyse data, such as data pipelines, data warehouses, and data lakes, ensuring data accuracy, accessibility, and security.
- Design and implement data architectures, pipelines, and data warehousing solutions that handle appropriate data volumes and velocities while adhering to security standards.
- Develop processing and analysis algorithms suitable for the intended data complexity and volumes.
- Collaborate with data scientists to build and deploy machine learning models.
- Support the development of enterprise AI solutions, ensuring reliability, security, and governance compliance.
Key Qualifications
- Experience using Python and machine learning frameworks such as PyTorch, TensorFlow or scikit-learn to build and support scalable solutions.
- Experience working with cloud platforms such as AWS or Azure, and data tools such as S3 or Glue.
- Understanding of MLOps or LLMOps practices, with practical application experience.
- Experience with large language models (LLMs), prompt engineering, and APIs (highly valued).
- Knowledge of data preprocessing and model evaluation techniques.
- Payments or fintech experience, or experience in dynamic transformation environments with stakeholder communication and collaboration skills (highly valued).
Location & Working Arrangements
The role is based in London. Offices are located at 1 Churchill Place and 7 Westferry Circus (new BPL office). A hybrid working pattern with three days per week office-based presence is expected.
