Data & AI Scientist leveraging cutting-edge AI technologies at Lloyds Banking Group to solve complex business problems. Collaborating closely with engineering and product teams in a hybrid working model.
Responsibilities
Design and implement solutions using foundation models (e.g., GPT, PaLM, Claude, Gemini) for tasks such as summarization, Q&A, classification, and generation.
Evaluate model performance, fine-tune pre-trained models, and apply prompt engineering techniques.
Build and deploy autonomous agents capable of reasoning, planning, and interacting with APIs or tools to complete tasks.
Develop and deploy supervised and unsupervised ML models using scalable pipelines.
Integrate ML models into production environments using CI/CD and containerization tools.
Build robust, modular Python applications for data processing, model training, and inference.
Collaborate with Machine Learning Engineers to ensure seamless integration of AI solutions.
Lead code reviews and mentor junior developers on best practices.
Build and deploy AI/ML solutions on cloud platforms, with a preference for GCP.
Use cloud-native tools for data storage, model training, and orchestration (e.g., Vertex AI, BigQuery, Cloud Functions).
Requirements
Master’s or PhD in Computer Science, AI, Data Science, or a related field or equivalent experience.
3 or more years of experience in data science or AI roles, with hands-on experience in foundation models and agent-based systems.
Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
Experience with LangChain, AutoGen, or similar agentic frameworks.
Strong understanding of cloud platforms (GCP preferred).
Excellent communication and leadership skills.
Benefits
A generous pension contribution of up to 15%
An annual performance-related bonus
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
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