Data & AI Scientist leveraging cutting-edge AI technologies to solve business problems for Lloyds Banking Group. Leading initiatives in foundation models and autonomous agents.
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.
Mentor junior data scientists and engineers in AI techniques and best practices.
Collaborate cross-functionally to align AI initiatives with strategic goals.
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
Advanced AI Scientist at HP responsible for architecture and leadership of AI ecosystems. Leading projects in data mining, modeling techniques, and automation systems to drive business innovation.
Graduate Machine Learning Researcher at Longshot Systems designing and improving predictive models for sports betting analytics with a focus on innovation and R&D.
AI Research Scientist developing advanced technologies related to multimodal models at Mercari's R4D team. Collaborating on machine learning and computer vision projects that impact e - commerce platforms.
AI Research Intern at Toyota Research Institute exploring AI applications in enhancing wellbeing. Collaborate in developing innovative approaches within the Human - Centered AI Division.
Machine Learning Researcher at Astera Institute focusing on data - efficient and general model induction. Collaborating on innovative architectures with a focus on performance and throughput.
AI Research Intern focusing on advancing deep learning techniques in financial products at TD. Collaborating on large - scale datasets and representing the team at ML conferences.
AI Research Engineer designing downstream AI models operationalizing clinical endpoints in breast cancer care. Collaborating with clinical experts to enhance healthcare innovation in medical imaging.
Machine Learning Engineer designing, implementing, and deploying ML solutions for GEICO. Collaborating with cross - functional teams to integrate ML models and ensure business impact.
Intern AI Researcher at Analog Devices exploring AI models for efficient edge computing. Collaborating with experts to drive breakthroughs in model optimization and compression.