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- Tasks: Build AI-driven solutions and collaborate on innovative projects.
- Company: Join TCS, a purpose-led transformation company making a real impact.
- Benefits: Competitive salary, continuous learning, and hands-on experience with cutting-edge technologies.
- Other info: Dynamic team environment with excellent career growth opportunities.
- Why this job: Work on exciting AI initiatives and drive meaningful change across industries.
- Qualifications: Proficiency in Python and foundational knowledge of machine learning concepts.
The predicted salary is between 28000 - 35000 ÂŁ per year.
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.
Graduate Engineer in High Wycombe employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Engineer in High Wycombe
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at TCS. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your skills; demonstrate them! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This will give you an edge and show potential employers what you can really do.
✨Ace the Interview
Prepare for your interviews by practising common questions and scenarios related to AI engineering. Be ready to discuss your thought process and problem-solving approach. Remember, it’s not just about the right answer but how you get there!
✨Apply Through Our Website
Make sure to apply through the TCS website for the best chance of getting noticed. It shows you're serious about the role and gives you access to all the latest opportunities directly from the source!
We think you need these skills to ace Graduate Engineer in High Wycombe
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate AI Engineer role. Highlight your relevant skills, especially in Python and machine learning, and don’t forget to mention any projects or experiences that showcase your passion for AI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re excited about this role and how your background makes you a great fit. Be genuine and let your enthusiasm for AI-driven solutions come through.
Showcase Your Projects: If you've worked on any AI or machine learning projects, make sure to include them in your application. Whether it's coursework, internships, or personal projects, we want to see what you've done and how you’ve applied your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the info you need about the application process there!
How to prepare for a job interview at Tata Consultancy Services
✨Know Your AI Basics
Brush up on your foundational knowledge of machine learning concepts and algorithms. Be ready to discuss how you’ve applied these in your projects or studies, especially with frameworks like TensorFlow or PyTorch.
✨Showcase Your Projects
Prepare to talk about any academic or personal projects involving AI or machine learning. Highlight your experience with data pipelines, model training, and any hands-on work with Generative AI technologies.
✨Familiarise with the Company
Research TCS and their AI initiatives. Understand their mission and how they leverage AI to make a difference. This will help you align your answers with their values and show genuine interest.
✨Practice Problem-Solving
Expect technical questions that assess your analytical thinking and problem-solving skills. Practice coding challenges or case studies related to AI and machine learning to demonstrate your thought process.