Interview Date 14th Nov 2026 (Saturday)

Mode - F2F

Working Mode- Hybrid (2 Days WFO)

Location- Hyderabad

Role Overview

Senior Machine Learning & AI Engineer – Grade E

About this Opportunity

Lloyds Banking Group puts customers at the heart of everything. Machine Learning & AI Engineering forms a key part of our strategy, and as a Senior Machine Learning & AI Engineer, you will contribute to the largest transformation in the history of financial services.

In this role, you’ll design and deliver end-to-end AI and ML solutions, combining advanced modelling techniques with robust engineering practices. You’ll work on product ionising AI and ML pipelines using strategic cloud platforms and AI services, including Google Cloud Vertex AI, ensuring solutions are scalable, effective, secure, and reliable.

Key Activities / Responsibilities

As a Senior Machine Learning & AI Engineer, you will lead the design of patterns, tooling, and templates to rapidly and efficiently deploy models into production, scale AI/ML solutions on strategic infrastructure, and integrate them into existing systems.

Your role would include the following activities:

- Lead the design and implementation of advanced AI/ML solutions and systems, including agentic AI systems.
- Develop and maintain scalable AI/ML pipelines and infrastructure using Python, Google Cloud Platform, and Vertex AI.
- Build, train, fine-tune, deploy, and manage machine learning models using Google Cloud Vertex AI.
- Leverage Vertex AI capabilities for model development, training, experimentation, model evaluation, deployment, and monitoring.




- Develop and manage end-to-end ML workflows using Vertex AI Pipelines and other GCP services.
- Collaborate with data scientists to understand model requirements and translate them into scalable technical solutions.
- Optimize models for performance, accuracy, and other required metrics (e.g. latency and token usage).
- Deploy and monitor AI/ML systems in production environments using cloud-based ML infrastructure.
- Troubleshoot and resolve issues related to AI/ML systems and production pipelines.
- Mentor junior AI/ML engineers and provide technical guidance.
- Stay updated with the latest AI/ML technologies, Google Cloud AI services, and engineering best practices.

Recruitment Priority Skills We're keen to speak to candidates with experience who have strong skills in:

1. Python:

Has a holistic understanding of Python and can make intuitive decisions in familiar contexts. Capable of implementing multi-threading and asynchronous programming using tools like threading and asyncio. Optimizes performance using profiling tools and applies advanced debugging techniques.

2. Software Engineering:

Can use design patterns, experience, and best practices to design, test, and amend complex programs/scripts and integration software services.

3. Machine Learning:

Has experience using advanced methods such as forecasting, ensemble methods,



and model stacking. Uses experience to assess and advise on the most appropriate Machine Learning solutions to tackle existing and new scenarios. Can troubleshoot and fix model performance issues with fitted models.

4. Foundation Model Application:

Independently makes decisions about Foundation Model Applications, considering the strengths and limitations of different models. Takes ownership of foundation model-related decisions and tasks, ensuring they align with organisational goals.

5. Google Cloud Platform & Vertex AI:

Hands-on experience with Google Cloud Platform (GCP) and Vertex AI for developing, training, deploying, and managing machine learning models. Experience with Vertex AI Workbench, Vertex AI Pipelines, model training, model evaluation, endpoint deployment, and model monitoring. Ability to build scalable end-to-end ML workflows using GCP services and follow cloud engineering best practices.

6. AI & ML Solution Design:

Can apply knowledge of the strengths and limitations of AI/ML and takes ownership of AI/ML solution design decisions and tasks, ensuring they align with organisational goals. Can demonstrate evidence and experience of independently making decisions about AI/ML solution design to solve complex business problems.

Other Technical Skills

- AI Literacy
- Feature Engineering
- Foundation Model Application
- Google Cloud Platform (GCP)
- Google Vertex AI
- Vertex AI Pipelines
- Vertex AI Workbench
- Model Training, Evaluation & Deployment
- MLOps and ML Pipeline Automation
- DevOps
- Python
- SQL
- Responsible AI

📌 Data Scientist (Hyderabad)
🏢 Black Turtle
📍 Hyderabad