If you are passionate about Artificial Intelligence, Large Language Models, and building next-generation AI systems, this Barclays ML Engineer role could be your breakthrough opportunity.
Barclays is hiring a Gen AI and ML Engineer in Bengaluru under its Customer Digital and Data division. This is a permanent technology role focused on Generative AI, Agentic AI, Conversational AI, and enterprise-scale machine learning systems.
- 1 🌍 About Barclays Technology
- 2 📌 Barclays ML Engineer – Role Overview
- 3 🎯 Why This Barclays ML Engineer Role is High-Impact
- 4 🛠 Key Responsibilities of a Barclays ML Engineer
- 5 💻 Technical Skills Required for Barclays ML Engineer
- 6 🌟 Additional Preferred Skills
- 7 🎓 Educational Qualification
- 8 📈 Career Growth as a Barclays ML Engineer
- 9 🔐 Purpose of the Role
- 10 🌍 Location: Bengaluru
- 11 🏁 Final Thoughts on the Barclays ML Engineer Role
🌍 About Barclays Technology
Barclays is one of the world’s leading financial institutions, operating across multiple countries. The technology team at Barclays works on billion-scale financial systems, leveraging AI, blockchain, and cloud infrastructure to deliver innovation for millions of customers.
The Barclays ML Engineer role is part of the mission to shape the future of financial technology through intelligent automation and machine learning.
📌 Barclays ML Engineer – Role Overview
| Category | Details |
|---|---|
| Job Title | Barclays ML Engineer (Gen AI & ML Engineer) |
| Location | Bengaluru, India |
| Business Area | Customer Digital and Data |
| Contract Type | Permanent |
| Core Focus | Generative AI, Agentic AI, ML Solutions |
| Cloud Platform | AWS (Bedrock, SageMaker, Lambda) |
🎯 Why This Barclays ML Engineer Role is High-Impact
The Barclays ML Engineer position focuses on cutting-edge AI use cases such as:
- Generative AI applications
- Agentic AI systems
- Conversational AI solutions
- LLM fine-tuning and evaluation
- Enterprise-scale AI deployment
This is not just a development role. The Barclays ML Engineer will own the entire AI product lifecycle from design to deployment.
🛠 Key Responsibilities of a Barclays ML Engineer
1️⃣ Design & Deploy Gen AI Systems
- Build Generative AI applications using AWS Bedrock & SageMaker
- Implement LLM-based use cases (RAG, summarization, data analysis)
2️⃣ LLM Optimization & Prompt Engineering
- Fine-tune Large Language Models
- Design and optimize prompts
- Ensure AI safety and performance
3️⃣ Cloud & Architecture Development
- Develop scalable AI pipelines on AWS
- Work with vector databases (FAISS, PGVector, DynamoDB)
- Integrate APIs and cloud-native architectures
4️⃣ Collaboration & Leadership
- Bridge business and technical teams
- Mentor junior developers
- Translate business requirements into AI solutions
The Barclays ML Engineer must combine technical depth with strategic thinking.
💻 Technical Skills Required for Barclays ML Engineer
| Skill Area | Required Expertise |
|---|---|
| Programming | Python |
| AI Frameworks | LangChain, LangGraph, CrewAI, Langfuse |
| Cloud | AWS (Bedrock, SageMaker, Lambda) |
| Databases | SQL, NoSQL, Vector DBs |
| AI Concepts | Generative AI, Agentic AI, NLP, LLMs |
| DevOps | CI/CD, Jenkins |
A strong background in large-scale AI/ML systems is essential for the Barclays ML Engineer role.
🌟 Additional Preferred Skills
- REST API development
- JSON/XML handling
- Cloud-native architecture
- Stakeholder management
- Leadership & mentoring ability
🎓 Educational Qualification
- Bachelor’s degree in Computer Science, IT, or Engineering
- Strong foundation in AI/ML and cloud systems
📈 Career Growth as a Barclays ML Engineer
The Barclays ML Engineer role can lead to:
- Senior AI Architect
- AI Product Lead
- ML Engineering Manager
- Data Platform Leader
- Enterprise AI Strategist
Working at Barclays provides exposure to global-scale financial AI systems.
🔐 Purpose of the Role
The Barclays ML Engineer will:
- Build secure and scalable AI architectures
- Maintain robust data pipelines
- Develop ML models with governance controls
- Strengthen enterprise data systems
Risk management and control frameworks are also a core part of this position.
🌍 Location: Bengaluru
Bengaluru is one of India’s top tech hubs. As a Barclays ML Engineer, you will work in a high-performance technology environment with global exposure.
🏁 Final Thoughts on the Barclays ML Engineer Role
The Barclays ML Engineer position is ideal for professionals who want to work at the intersection of finance and advanced AI technologies.
If you have strong experience in Generative AI, AWS ML ecosystem, and LLM frameworks, this role offers enterprise-level impact and leadership growth.
Keep upgrading your AI skills, practice hands-on projects, and prepare confidently.
Wishing you success in your journey to becoming a Barclays ML Engineer! 🚀
