Machine Learning Ops Engineer

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Location: Letterkenny – Hybrid 3 days per week in office Join a global tech leader right here in Donegal.
With over 850 employees and a state-of-the-art global delivery centre, we're proud to offer world-class career opportunities without having to leave the Northwest.
Recognised as Workplace of the Year by the Letterkenny Chamber, we foster a culture of continuous learning, innovation, and respect.
Our people are at the heart of everything we do – collaborating across teams, geographies, and disciplines to drive real change for clients around the world.
Be part of something global, grounded in Donegal.

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 latest advances in AI/ML.
Be part of an exciting team where you will be challenged every day.
Lead projects and inspire both colleagues and stakeholders.
The Role We are seeking a skilled Machine Learning Ops Engineer with a strong background in Cloud Engineering, particularly within the AWS environment, with a focus on platform engineering.
The ideal candidate will have a passion for developing robust machine learning platforms and ensuring the seamless deployment and operation of ML models through efficient infrastructure and tooling.

Your responsibilities: Lead Platform Engineering Initiatives: Design, build, and maintain scalable, reliable, and efficient ML platforms, ensuring robust performance and operational excellence.
Collaborate Across Teams: Work closely with infrastructure and DevOps teams to integrate ML models into the broader platform, ensuring seamless operation and scaling.
Enhance ML Infrastructure: Improve the architecture, scalability, stability, and performance of the ML platform, focusing on AWS cloud engineering solutions and platform services.
Extend ML Frameworks: Develop and extend existing machine learning libraries and frameworks to enhance model performance and integrate them effectively within the platform.
Monitor and Govern ML Models: Develop processes for model monitoring and governance, ensuring successful ML model operationalization and compliance with industry standards on the platform.
Technical Roadmap Ownership: Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results that align with platform engineering goals.
Set Platform Standards: Define and uphold standards for platform engineering and operational excellence, striving to run best-in-class ML platforms and continually improving them to incorporate the latest innovations.
Architectural Best Practices: Design and implement architectural best practices specifically for platform engineering, ensuring efficient and scalable deployment of ML solutions.
Your Profile Essential skills/knowledge/experience: Strong experience in Cloud Engineering, specifically in AWS services such as EC2, S3, Lambda and SageMaker.
Proficiency in platform engineering practices and frameworks for machine learning operations (ML Ops).
Experience with data pipeline tools such as Apache Airflow, AWS Glue, or similar.
Strong programming skills in Python or other relevant languages.
Experience with DevOps tools such as Git, Jenkins, GitHub Actions, etc.
Familiarity with Groovy is an added advantage.
Experience with containerization and orchestration tools like Docker and Kubernetes.
Knowledge of Azure OpenAI, Langgraph, Bedrock will help.
Excellent problem-solving and analytical skills.
Strong communication skills and ability to work collaboratively in a team environment.
Desirable skills/knowledge/experience: AWS Certified Solutions Architect or AWS Certified Machine Learning specialty.
Experience with CI/CD tools and practices.
Familiarity with big data technologies such as Apache Spark or Hadoop.
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 and 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 and partner with our local communities in Ireland.

Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the Ireland Employment Equality Acts 1998-2011 (as amended) and the Equal Status Acts 2000-2012 (as amended).
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 if you would like to opt in.

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