MLOps Tech Lead

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Role: MLOps Tech Lead

Job Type: Permanent

Location: London, UK

Are you passionate about driving innovation and best practices in Machine Learning?

We have an exciting role for you – MLOps Tech Lead!

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.

• Gain exposure to innovative technology.
• Work with customers and identify opportunities to support their strategy and improve various processes across functions.
• Gain access to endless learning opportunities.

The Role

As a MLOps Tech Lead, you will be responsible for designing, building, and maintaining data pipelines and infrastructure that enable the development and deployment of machine learning models and drive engineering excellence and collaborate closely with data scientists, and lead ML engineers, and software engineers to ensure data is clean, accessible, and optimised for large-scale processing and analysis.

Your responsibilities:

• Data Pipeline Development: Lead the technical direction of projects and ensure the use of customer best practices to the best quality.
• Data Integration: Lead and provide expertise on Integrate data from various sources, ensuring data consistency, integrity, and quality across the entire data lifecycle.
• Infrastructure Management: Provide guidance for the junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop).
• Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data augmentation.
• Automation: Implement automation tools and frameworks (CI/CD) to streamline the deployment and monitoring of machine learning models in production.
• Performance Optimisation: Optimize data processing workflows and storage solutions to improve performance and reduce costs.
• Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to deliver data solutions that meet business needs.
• Mentorship: junior and mid-level data engineers and provide technical guidance on best practices and emerging technologies in data engineering and machine learning and helping to enhance their skills and career growth.
• Knowledge Sharing and Empowerment: Promote a culture of knowledge sharing within the engineering teams by organizing regular technical workshops, brown bag sessions, and code reviews.
• Innovation and Continuous Improvement: Foster a collaborative and inclusive team environment that encourages continuous learning and improvement.

Your Profile

Essential skills/knowledge/experience:

• Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving).
• Strong experience with data processing frameworks (e.g., Apache Spark, Flink).
• Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
• Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.

Desirable skills/knowledge/experience:

• Certifications: AWS Certified Big Data Specialty, Google Professional Data Engineer, or equivalent.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team-oriented, collaborative environment.
• Strong leadership skills with the ability to inspire and guide team.
• Lead scrum ceremonies as and when needed (Standup, Planning, and grooming sessions)
• Excellent verbal and written communication skills, with the ability to articulate complex technical concepts.
• Creating a safe and inclusive environment where all team members feel that their input is valued and are never dissuaded from speaking up or asking questions.
• Be available for the team, responding within a reasonable time frame and if not possible clearly sign positing alternative contacts who can guide.
• Contribute to a positive and inclusive atmosphere within the team.
• Support and mentor senior engineers by providing them opportunities to lead initiatives and contribute to the technical roadmap.

Rewards & Benefits

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 & wellness 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.

Next Steps:

Application Process

• Online application: You can apply directly through LinkedIn/ by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact - UKI.recruitment@tcs.com
• Skill-Based discussion: This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter.
• Managerial discussion: This discussion will focus on behavioural aspects and person-organisation fit.
• HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have.

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