Graduate Engineer

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Role: Graduate

AI Engineer

Job Type: Permanent

Location: Derby, UK

Mode of Working: Office-based

Do you have a passion for building AI‑driven solutions using cutting‑edge technologies?

We have an exciting opportunity for you – AI 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.

• Develop domain‑centric AI solutions that drive real business impact.
• Gain hands‑on exposure to Generative AI and Agentic AI technologies.
• Grow your skills through continuous learning and innovation‑led projects.

The Role

As an AI Engineer , you will be part of a core team driving the development of AI‑led solutions designed to improve productivity and efficiency across enterprise environments. This role offers the opportunity to work on cutting‑edge AI initiatives as organisations accelerate their adoption of artificial intelligence across industries. You will collaborate with experienced engineers and data scientists, leveraging modern AI, machine learning, and Generative AI technologies to build scalable, production‑ready solutions while continuously learning and experimenting with emerging tools and approaches.

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, summarisation, and semantic analysis.
• Contribute to Generative AI (GenAI) use cases and experimentation.
• Implement and integrate RESTful APIs to deploy 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 optimisation in real‑world applications.
• Stay up to date with emerging AI and ML trends, 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.
• 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 (REST, JSON).
• 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.
• Working knowledge of HTML/CSS/JavaScript.
• Academic or project experience involving machine learning models, NLP, or AI systems.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Understanding of software engineering principles and the development lifecycle.
• Internship, coursework, or personal projects demonstrating applied AI/ML solutions.

Strong communication skills and the ability to work effectively in a collaborative team environment.