Remote C# Engineer in Derby

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.

Opportunity of developing domain centric AI solutions with immense learning opportunities specifically in Gen AI/Agentic AI related technologies.

The Role:

As AI wave is sweeping across IT services industry, every customer and domain are embarking upon AI adoption in a significant manner. This will be an opportunity to be part of a core group of AI Engineers working on developing AI led solutions for improved productivity and efficiencies across the landscape.

Your responsibilities:

• Assist in designing, building, and maintaining scalable data pipelines for structured and unstructured data.
• Develop, train, and evaluate machine learning and deep learning models, including neural networks.
• Work with Large Language Models (LLMs) for tasks such as text generation, summarization, and semantic analysis.
• Contribute to Generative AI (GenAI) applications and experimentation.
• Implement and integrate RESTful APIs for deploying AI models into production environments.
• Collaborate with senior engineers and data scientists to improve model performance and reliability.
• Participate in code reviews, testing, and documentation to ensure high-quality deliverables.
• Support model monitoring, debugging, and optimization in real-world applications.
• Stay up to date with emerging AI/ML trends and tools, contributing innovative ideas to the team.

Your Profile:

Essential skills/knowledge/experience:

• Proficiency in Python programming.
• Foundational understanding of machine learning concepts and algorithms.
• Familiarity with frameworks such as TensorFlow (or PyTorch equivalent).
• Basic knowledge of Natural Language Processing (NLP) techniques.
• Understanding of Neural Networks and deep learning fundamentals.
• Exposure to Generative AI concepts and LLMs (e.g., prompt engineering, embeddings).
• Knowledge of working with APIs and data exchange formats (e.g., JSON, REST).
• Preferable but not mandatory: Hands-on experience with working in HTML/CSS/JS.
• Familiarity with version control systems such as Git.
• Strong analytical thinking and problem-solving skills.

Desirable skills/knowledge/experience:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Academic or project experience involving ML models, NLP, or AI systems.
• Exposure to cloud platforms (e.g., AWS, Azure, GCP) is advantageous.
• Understanding of software engineering principles and development lifecycle.
• Internship, coursework, or personal projects demonstrating AI/ML application.
• Strong communication skills and ability to work in a collaborative environment.

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 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 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.