More jobs:
Data Science and AI Placement
Job in
Bristol, Bristol County, BS1, England, UK
Listed on 2026-01-02
Listing for:
Lloyds Banking Group
Full Time
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Responsibilities
- Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics.
- Engineer robust data pipelines and ML workflows to ensure seamless model delivery and monitoring.
- Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to drive decision‑making.
- Explore and evaluate Generative AI applications including prompt engineering and safety alignment.
- Design agentic AI systems that contribute to next‑gen banking solutions.
- Innovate on Google Cloud Platform (GCP), scaling from experimentation to production.
- Learn to deliver AI in an ethical and responsible way, understanding AI risks and bias mitigation.
- AI
- Cloud
- GCP
- Machine Learning
- Python
- SQL
- Big Data
- CI/CD
- Dev Ops
- LLM
- Network
- Py Torch
- Spark
- Tensor Flow
At Lloyds Banking Group, we are committed to helping Britain prosper and you will play a key role in shaping the financial services of the future. Our Chief Data & Analytics Office integrates data, analytics, and AI into every decision we make. During this Data Science & AI Industrial Placement, youll engage in meaningful challenges from day one, gaining invaluable hands‑on experience while working with a close‑knite community of data professionals.
We offer a hybrid working environment and a competitive salary of £25,000 per year, ensuring you have the opportunity to learn and grow in a supportive setting.
You'll be in your penultimate year at university.
Qualifications- Strong knowledge, understanding and technical skills aligned to the role.
- Full, unlimited right to work in the UK.
- Knowledge of analytical techniques and experience in manipulating data.
- Python coding experience, knowledge of SQL, and ability to use statistical modelling techniques.
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