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Are you experienced in AI/ML engineering and technical leadership?
We have a great opportunity for you - Principal Engineer (AI/ML)!
Careers at TCS: It means more
TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
- Tackle complex, ambiguous technical challenges with a proactive and solution focused mindset.
- Strive for engineering excellence and deliver impactful outcomes at scale.
- Collaborate and contribute within a dynamic, high performing engineering environment.
The Role
As a Principal Engineer (AI/ML), you will work closely with data scientists, engineers, and product managers to design, build, deploy, and operate robust machine learning systems that power key services across Digital and Retail platforms. This role has a strong focus on MLOps and ML Platform engineering, enabling scalable, production ready ML workflows using modern cloud infrastructure and tooling. You will provide technical leadership, influence engineering strategy, and help establish best practices across teams.
Your responsibilities:
- Set technical direction by defining architecture principles, design patterns, and engineering standards.
- Design, develop, and maintain ML pipelines for training, validation, deployment, and monitoring.
- Support scalable ML solutions across use cases such as recommendations, forecasting, and automation.
- Automate model deployment and lifecycle management using CI/CD pipelines.
- Improve the reliability, observability, and performance of ML platforms.
- Collaborate closely with data scientists to productionise research models into scalable services.
- Implement monitoring, alerting, and model drift detection using platform and custom tooling.
- Continuously improve infrastructure using containerisation, cloud services, and infrastructure as code.
- Mentor engineers across levels and help grow technical capability, autonomy, and best practice adoption.
- Work closely with stakeholders to translate business requirements into technical roadmaps and solutions.
Your Profile
Essential skills/knowledge/experience:
- Proven experience in ML Engineering, DevOps, or Data Engineering, with exposure to the full ML lifecycle.
- Hands on experience building and maintaining ML workflows or pipelines in production environments.
- Strong Python skills with experience using ML frameworks such as MLflow, Scikit learn, or PyTorch.
- Experience working with cloud platforms, particularly Azure or AWS.
- Solid understanding of containerisation (Docker) and orchestration platforms (e.g. Kubernetes).
- Experience with CI/CD tools such as GitHub Actions or Azure DevOps.
- Exposure to infrastructure as code tools such as Terraform.
- Strong communication skills and the ability to collaborate effectively across teams.
- Proven experience operating in a senior or principal engineering role within a modern technology organisation.
- Demonstrated ability to influence engineering strategy and shape technical direction across multiple teams.
- Experience partnering with senior engineering managers and technical leaders to guide delivery and vision.
Desirable skills/knowledge/experience:
- Experience working with data platforms such as Snowflake or Azure Data Lake.
- Experience deploying models as APIs using FastAPI or Azure Functions.
- Knowledge of monitoring, model performance tracking, and observability best practices.
- Familiarity with orchestration tools such as Airflow or Azure Data Factory.
- Strong advocate for Agile methodologies and modern engineering practices.
- Ability to build inclusive, collaborative relationships across engineering communities.
- Comfortable making data driven decisions and evaluating technical trade offs at scale.
- Demonstrated experience mentoring engineers at all levels and strengthening engineering culture.
- Passion for innovation, continuous improvement, and enabling others to succeed.