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SDET Engineer

Tata Consultancy Services Manchester, England, United Kingdom

onsitefull-time
Posted Aug 4, 2026Apply by Sep 3, 2026

**Role & seniority: ** SDET Engineer / Quality Engineer (no explicit seniority stated)

**Location & work type: ** Manchester; Permanent

**Stack/tools: **

  • AI/ML: TensorFlow, PyTorch, scikit-learn, Vertex AI, Azure OpenAI, Google ADK (mentioned), Cloud Vision

  • AI/QA: LangChain, Claude, RAG (Retrieval-Augmented Generation), prompt engineering, AI-assisted test design/optimization, data-driven validation

  • Automation/testing: Python, PyTest, Playwright, Gherkin, BDD, regression suite optimization

  • Data/testing ops: JIRA (defect lifecycle), SQL/BigQuery/DBT/Kafka (desirable), CI/CD (desirable)

  • Top 3 responsibilities:

    1. Design/implement AI workflows and models for performance & scalability, including agent-based and RAG systems (LangChain/Claude).

    2. Improve QA through risk-based, data-driven testing; optimize regression suites and expand test coverage (manual API/exploratory + automation).

    3. Manage end-to-end defect lifecycle in JIRA and test data products for consumer needs across real-time/near real-time/batch.

  • Must-have skills:

    • Proficiency in AI/ML frameworks (TensorFlow/PyTorch/scikit-learn)

    • Hands-on AI concepts (Vertex AI, Azure OpenAI, Cloud Vision)

    • Strong Python + PyTest; automation with Playwright/Gherkin/BDD

    • Analytical/problem-solving skills; good communication/collaboration

  • Nice-to-haves:

    • AI-assisted testing (test generation, intelligent optimization)

    • Self-h

Full Description

Role: SDET Engineer

Job Type: Permanent

Location: Manchester

Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We don’t 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 opportunities to make an impact that matters, through challenging projects which demand ambitious innovation.

Ready to take you on your next role where you will design and implement cutting-edge Agentic AI solutions that redefine enterprise workflows. Empowering you to innovate with advanced technologies like Google ADK, LangChain, and Retrieval-Augmented Generation (RAG) to deliver transformative AI experiences. Giving you the platform to lead and mentor in a dynamic environment, fostering collaboration and continuous learning across global teams.

The role As a Quality Engineer, you will leverage your experience in manual API, and exploratory testing alongside emerging AI-assisted and automation-driven practices to ensure high-quality product delivery. You will play a key role in embedding quality throughout the development lifecycle, driving stable releases and improving overall test effectiveness.

You will collaborate closely with cross-functional agile teams, apply risk-based and intelligent testing approaches and contribute to continuous testing strategies., additionally, you will explore and incorporate modern QA technologies such as AI-assisted test design, data0driven validation, and automation support to enhance coverage, efficiency and reliability.

Key responsibilities

  • Design and implement AI workflows and models for performance and scalability.
  • Build solutions using Lang Chain/Claude for agent-based and RAG systems.
  • Apply prompt engineering techniques to improve EOTR outputs.
  • Stay updated on AI/ML advancements and best practices.
  • Optimise regression suites and improve test coverage through risk-based and data-driven approaches.
  • Manage end-to-end defect lifecycle, including reporting, prioritisation, and resolution tracking using JIRA.
  • Test all the data products with domain understanding that satisfies the requirement of consumers in real time, near real time and in batch.

Essential Skills Proficiency in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. Hands-on experience with AI concepts such as Vertex AI, Azure OpenAI, and Cloud Vision. Strong programming skills in Python to support PyTest framework. Solid understanding of data structures, algorithms, and statistical methods. Automation knowledge using tools like Playwright, Gherkins and BDD Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.

Desirable Skills Exposure to AI-assisted testing, including test case generation and intelligent test optimisation Familiarity with self-healing automation concepts and smart test frameworks Experience with SQL, Big Query , DBT, Kafka or database validation. Understanding of CI/CD pipelines and continuous testing practises. Knowledge of performance testing and identifying system bottlenecks. Interest in emerging QA trends such as Agentic AI, predictive testing and intelligent automation.

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.

Diversity, Inclusion & Wellbeing At TCS, we believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity motto is ‘Inclusion without Exception’.

You’ll find a welcoming culture and many internal volunteering and social networks to join. Our diversity, inclusion and social activities include LGBTQ+ and mental health networks, as well as health and wellness initiatives and sports events (we even sponsor the London Marathon).

TCS celebrates inclusion without exception. We are open to all and treat applications equally, regardless of ethnicity, disability, gender, age, sexual orientation or beliefs.

If you are an applicant who needs an accommodation due to a disability to complete an employment application, or during any phase of the hiring process, please contact us at ansah.steve@tcs.com with the subject line: “Disability Accommodation Request”.

Due to a 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.

PythonPyTestLangChainRAGTensorFlowPyTorchScikit-learnVertex AIAzure OpenAIPlaywrightGherkinsBDDSQLBig QueryKafkaJIRAmulti-location

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