Barclays Hiring Machine Learning / Artificial Intelligence Engineer – Permanent Role | Pune

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  • Read the full job description and eligibility criteria carefully before applying.

  • Apply only if you meet the required qualifications and experience.

  • Submitting your application through the official Barclays career portal is mandatory.

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🏢 About the Company – Barclays

Barclays is a British multinational investment bank and financial services company with a presence in over 39 countries across the globe. It delivers banking and financial solutions to retail, corporate, and institutional clients. Barclays is committed to financial innovation, customer-centric technology, and operational excellence. The company values integrity, respect, service, excellence, and stewardship, making it an attractive employer for talent worldwide.

Barclays offers a collaborative work culture where people are valued, respected, and encouraged to bring their whole selves to work. It also supports career growth with opportunities for learning, skill development, and global mobility. 

💼 About the Role – Machine Learning / Artificial Intelligence Engineer

Barclays is hiring a Machine Learning / Artificial Intelligence Engineer to join the Chief Technology Office in Pune, India. The role focuses on designing, developing, and deploying advanced ML/AI solutions that can drive innovation, optimize processes, and support large-scale technology-driven initiatives within the organization.

As an AI/ML Engineer, you will work with cutting-edge technologies, collaborate with cross-functional teams, and help shape the future of digital solutions at Barclays — building applications that have real-world impact.

📋 Job Overview




Company
Barclays




Role
Machine Learning / Artificial Intelligence Engineer




Reference Code
JR-0000065423




Job Type
Permanent




Location
Pune, India




Work Mode
Onsite / Hybrid (based on team requirement)




Experience
Relevant IT experience (Technology / Machine Learning / Data)




Business Area
Chief Technology Office

🛠 Key Responsibilities

  • Work on designing, developing, and improving software solutions using ML/AI and advanced analytics.

  • Support the evolution of Barclays’ digital landscape and data strategy.

  • Perform data preparation, cleaning, and preprocessing for ML models. 

  • Develop, optimize, and deploy machine learning models for real-world business use cases. 

  • Collaborate with product managers, data engineers, and other stakeholders to integrate AI solutions into production.

  • Ensure model quality and performance through systematic evaluation and monitoring. 

  • Stay updated with emerging trends in AI/ML and apply new technologies where appropriate. 

🎯 Eligibility / Qualifications

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field. 

  • Technical Skills:

    • Experience or knowledge of machine learning, NLP, or data analytics frameworks (example: GPT, BERT, or similar). 

    • Experience in model development, training, and deployment. 

    • Experience with one or more cloud platforms like AWS, Azure, or Google Cloud is a plus. 

    • Proficiency in Python or similar programming languages. 

    • Strong analytical and problem-solving skills. 

  • Professional Skills:

    • Ability to work collaboratively and communicate clearly with cross-functional teams. 

    • Passion for learning and applying the latest AI/ML tools and techniques. 

📑 Selection Process




Stage
Details




Application Submission
Online application via official Barclays job portal




Resume Shortlisting
Review by talent acquisition team




Technical Assessment
Evaluation of AI/ML technical skills and experience




Interviews
Technical and HR interview rounds




Final Selection
Offer letter issued by Barclays

🧾 How to Apply

  1. Visit the official Barclays careers website or job link. 

  2. Search using the role title Machine Learning / Artificial Intelligence Engineer or reference code JR-0000065423. 

  3. Click on the job listing to view full details.

  4. Complete the online application form with accurate personal, educational, and professional information.

  5. Upload your updated resume/CV.

  6. Submit the application and wait for further updates via email.

Apply HERE

📌 Important Notes

  • Barclays careers never require any payment or fees as part of the application process.

  • Be cautious of fraudulent offers or calls asking for money — apply only through official channels.

  • Shortlisted candidates will be contacted through official Barclays email domains (e.g., @barclays.com).



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