AI Engineer

Cognizant; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology company in Greater London is seeking a results-oriented AI Engineer to develop intelligent Q&A systems powered by large language models. You will be responsible for building, testing, and optimizing pipelines for automatic question-answering, focusing on performance tuning and collaboration with senior engineers. The ideal candidate has hands-on experience with machine learning and NLP, proficiency in Python, and strong problem-solving skills. Opportunities for career growth available.

Qualifications

• 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.
• Knowledge of vector databases or semantic search concepts is desirable.
• Eagerness to learn and strong problem-solving skills.
• Experience with Git and cloud infrastructure is a plus.

Responsibilities

• Build, fine-tune, and evaluate LLM-based Q&A models.
• Design prompt templates and implement retrieval strategies.
• Assist in creating data pipelines for training and testing.
• Collaborate with senior engineers and product managers.
• Participate in error analysis and performance tuning.
• Document code and workflows clearly.

Skills

Machine learning

Natural Language Processing (NLP)

Information retrieval

Python

Deep learning libraries

Problem-solving skills

Collaborative development workflows

Tools

AWS Bedrock

Langchain

HuggingFace Transformers

PyTorch

TensorFlow

Git

Cloud infrastructure (AWS, Azure, GCP)

Job description

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.

At Cognizant you will experience an exciting mix of innovation by design, creativity, collaboration, and efficiency within a framework of stimulating objectives and a passion for delivering the best to our customers.

You will be joining a network of some of the most creative, innovative, and dedicated people in the industry with ample opportunities to learn and develop your career.

Our Associates are chosen for their attitude, skills, knowledge, and enthusiasm but above all, their belief that anything is possible.

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.