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Date live:
May. 29, 2025
Business Area:
Corporate Digital Banking
Area of Expertise:
Technology
Reference Code:
JR-0000049471
Contract:
Permanent
Take a look at the map to see what’s nearby. Train stations & bus stops, gyms, restaurants and more.
Explore locationJoin us as an MLOps Engineer at Barclays, where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems.
To be successful as an MLOps Engineer you should have experience with:
Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Experience with Jenkins, GitHub Actions, or GitLab CI/CD for automating ML pipelines
Strong knowledge of Docker and Kubernetes for scalable deployments
Deep experience with AWS services (e.g., SageMaker, Bedrock, Lambda, CloudFormation, Step Functions, S3 and IAM).
Managing infrastructure for training and inference using AWS S3, EC2, EKS, and Step Functions.
Experience with Infrastructure as Code (e.g., Terraform, AWS CDK)
Familiarity with model lifecycle management tools (e.g., MLflow, SageMaker Model Registry).
Strong understanding of DevOps principles applied to ML workflows.
Some other highly valued skills may include:
Experience with Snowflake, Databricks for collaborative ML development and scalable data processing.
Knowledge of data engineering tools (e.g., Apache Airflow, Kafka, Spark).
Understanding model interpretability, responsible AI, and governance.
Contributions to open-source MLOps tools or communities.
Strong leadership, communication, and cross-functional collaboration skills.
Knowledge of data privacy, model governance, and regulatory compliance in AI systems.
Exposure to LangChain, Vector DBs (e.g., FAISS, Pinecone), and retrieval-augmented generation (RAG) pipelines.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based out of Pune.
Purpose of the role
To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.