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- Tasks: Build and optimise AI-driven Q&A systems using cutting-edge language models.
- Company: Join Cognizant, a leader in innovation and creativity.
- Benefits: Enjoy competitive pay, career growth, and a collaborative work environment.
- Why this job: Make a real impact in AI while working with talented professionals.
- Qualifications: Experience in machine learning and proficiency in Python required.
- Other info: Diverse and inclusive workplace with a focus on personal development.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a results-oriented AI Engineer to join our team developing intelligent Q&A systems powered by large language models. You will help build, test, and optimize pipelines that enable automatic question-answering from large document collections, supporting our mission to surface key knowledge rapidly and accurately.
Responsibilities:
- Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock, Langchain, HuggingFace Transformers or OpenAI API.
- Design prompt templates and implement retrieval strategies to increase answer precision and factuality.
- Assist in creating data pipelines for training and testing, including annotation and evaluation tooling.
- Collaborate with senior engineers and product managers to translate user requirements into technical features.
- Participate in error analysis, iterative model improvement, and performance tuning.
- Document code and workflows clearly; follow best practices for reproducibility and code quality.
Requirements:
- Hands-on experience with machine learning, NLP, or information retrieval projects, preferably with language models.
- Proficiency in Python and familiarity with deep learning/NLP libraries (Langchain, PyTorch, TensorFlow, HuggingFace Transformers).
- Knowledge of vector databases or semantic search concepts is desirable.
- Eagerness to learn, strong problem-solving skills, and ability to work collaboratively in agile teams.
- Experience with Git, collaborative development workflows, and cloud infrastructure (AWS, Azure, GCP, Domino) is a plus.
Cognizant is an equal opportunities employer, and we welcome all applications regardless of race, colour, gender, ethnic origin, nationality, religion or beliefs, disability, age, sexual orientation, political opinions, or trade union membership.
AI Engineer in London employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or NLP. It’s a great way to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical tests. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning, NLP, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission. Be sure to mention specific technologies or frameworks you’ve worked with that relate to the job.
Showcase Your Projects: If you've got any personal or professional projects related to AI, make sure to include them! We love seeing practical applications of your skills, especially if they involve LLMs or Q&A systems. It gives us a glimpse into your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application lands in the right hands. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Cognizant
✨Know Your Tech
Make sure you brush up on your knowledge of machine learning, NLP, and the specific frameworks mentioned in the job description, like AWS Bedrock and HuggingFace Transformers. Be ready to discuss your hands-on experience with these technologies and how you've applied them in past projects.
✨Showcase Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in AI or data pipelines. Think about specific challenges you've faced and how you approached them, especially in collaborative settings. This will demonstrate your strong problem-solving skills and eagerness to learn.
✨Understand the Role's Impact
Familiarise yourself with how intelligent Q&A systems work and their importance in surfacing key knowledge. Be ready to discuss how your contributions as an AI Engineer can enhance the accuracy and efficiency of these systems, aligning with the company's mission.
✨Communicate Clearly
Since documentation and clear communication are key parts of the role, practice explaining your past projects and technical concepts in a straightforward manner. This will show that you can document code and workflows effectively, which is crucial for reproducibility and collaboration.