At a Glance
- Tasks: Lead AI/ML projects, design robust systems, and mentor engineers in a dynamic environment.
- Company: Join TCS, a purpose-led transformation company making a meaningful impact.
- Benefits: Competitive salary, health care, training resources, and discounts within the Tata network.
- Other info: Diversity and inclusion are at our core; we welcome applicants from all backgrounds.
- Why this job: Shape the future of AI/ML while collaborating with top talent and driving innovation.
- Qualifications: Experience in ML engineering, strong Python skills, and cloud platform knowledge required.
The predicted salary is between 80000 - 100000 ÂŁ per year.
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. It does not just help businesses transform through technology – it supports them in making a meaningful difference to the people and communities they serve. For you, it means making an impact that matters, through challenging projects demanding 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. The role focuses strongly 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.
- 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.
TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.
Diversity, Inclusion and Wellbeing: Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment and sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long‑term conditions who meet the minimum criteria for the role.
Join us and do more of what matters. Apply online now.
Principal Engineer AI/ML in London employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Engineer AI/ML in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those related to ML workflows or pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions in AI/ML. Practice explaining your past projects and how you've tackled complex challenges. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Engineer AI/ML in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI/ML engineering. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Projects: Include specific examples of ML workflows or pipelines you've built. We want to see your hands-on experience, so don't hold back on detailing your achievements and the impact they had.
Highlight Collaboration Skills: Since this role involves working closely with data scientists and engineers, emphasise your teamwork and communication skills. Share instances where you've successfully collaborated on projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Tata Consultancy Services
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific AI/ML technologies mentioned in the job description. Brush up on your Python skills and be ready to discuss frameworks like MLflow, Scikit-learn, and PyTorch. Being able to talk confidently about your hands-on experience with these tools will show that you’re the right fit for the role.
✨Showcase Your Leadership Skills
As a Principal Engineer, you'll need to demonstrate your ability to influence engineering strategy. Prepare examples of how you've led teams or projects in the past, particularly in MLOps or ML platform engineering. Highlight your mentoring experiences and how you've helped others grow their technical capabilities.
✨Prepare for Technical Challenges
Expect to tackle complex technical challenges during the interview. Be ready to discuss how you would design and maintain ML pipelines or automate model deployment using CI/CD tools. Practising problem-solving scenarios related to the role can help you articulate your thought process clearly.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining technical concepts in a way that’s easy to understand, especially when discussing collaboration with data scientists and product managers. Being able to translate business requirements into technical solutions will set you apart from other candidates.