At a Glance
- Tasks: Design and manage AI systems, ensuring reliability and scalability in production.
- Company: Join TCS, a purpose-led transformation company making a meaningful impact globally.
- Benefits: Competitive salary, health care, training resources, and discounts within the Tata network.
- Why this job: Work with cutting-edge AI tech and collaborate with top minds in the industry.
- Qualifications: Experience in Python, MLOps, and Agile workflows; knowledge of data security and compliance.
- Other info: Diversity and inclusion are at our core; we welcome all applicants.
The predicted salary is between 36000 - 60000 £ per year.
Ready to utilize your experience and expertise in AI and Data? We have an exciting role for you – AI Ops Engineer!
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. Grow your career, while being exposed to new technologies. Guide and collaborate with some of the brightest global minds in the industry. Work closely with the range of teams within the business to bring products to life.
The Role: As an AI Ops Engineer, you will ensure AI systems are reliable, scalable, secure, and governable in production. You will own the operational backbone of AI: deployment, monitoring, lifecycle management, and compliance.
Your responsibilities:
- Design and operate deployment pipelines (CI/CD for models and prompts and related artefacts).
- Manage lifecycle: versioning, promotion, rollback, and retirement.
- Implement monitoring and observability (performance, user interaction, drift, data quality).
- Ensure AI systems meet security, compliance, and governance standards.
- Optimise inference performance, scalability, and cost.
- Manage infrastructure for training and inference (cloud, containers, GPUs).
- Enable reproducibility through experiment tracking and artefact management.
- Support incident response and root-cause analysis for AI failures.
- Collaborate with data scientists and software engineers to design and implement scalable and reliable machine learning infrastructure.
- Develop and manage CI/CD pipelines for machine learning projects, ensuring smooth and efficient deployment processes.
- Monitor and maintain the performance of machine learning models in production, troubleshooting and resolving any issues that arise.
- Implement best practices for version control, testing, and documentation of machine learning code and models.
- Work with cross-functional teams to ensure seamless integration of machine learning solutions into existing systems and workflows.
- Stay up-to-date with the latest advancements in machine learning and DevOps technologies, and continuously improve the infrastructure and processes.
Your Profile: Essential skills/knowledge/experience:
- Experience integrating Python backends with modern front-end frameworks (e.g., React).
- Exposure to large-scale enterprise datasets and knowledge management systems.
- Familiarity with MLOps practices for deploying and monitoring AI.
- Understanding of Agile delivery, ADO/Jira workflows, and collaborative development.
- Knowledge of data security, compliance, and responsible AI practices.
- Domain knowledge in aeroengine and manufacturing.
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. We offer health & wellbeing initiatives and sports events; we are the proud sponsor of the London Marathon.
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, 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. Please email us at UKI.recruitment@tcs.com if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at UKI.recruitment@tcs.com with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
Fraud prevention: Beware of Fraudulent offers: This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to UKI.recruitment@tcs.com to report any fraudulent activity.
Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.
Join us and do more of what matters. Apply online now.
AI Ops Engineer employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Ops Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and MLOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI Ops. Think about how you’d handle real-world problems and be ready to discuss your thought process. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at TCS.
We think you need these skills to ace AI Ops Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Ops Engineer role. Highlight your experience with Python, MLOps practices, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at TCS. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's deploying models or managing CI/CD pipelines, we want to see your hands-on experience and how you tackle challenges.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at TCS!
How to prepare for a job interview at Tata Consultancy Services
✨Know Your AI Ops Inside Out
Make sure you brush up on your knowledge of AI systems, especially around deployment, monitoring, and lifecycle management. Be ready to discuss how you’ve implemented CI/CD pipelines in the past and any challenges you faced.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and software engineers, prepare examples of how you've successfully collaborated in cross-functional teams. Highlight any Agile methodologies you’ve used and how they contributed to project success.
✨Demonstrate Problem-Solving Abilities
Be prepared to talk about specific incidents where you had to troubleshoot AI failures or optimise performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and show how you approach problem-solving.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in MLOps and DevOps technologies. Mention any recent tools or practices you’ve adopted and how they can benefit the company. This shows your commitment to continuous improvement and innovation.