AI Engineer - Data & Reporting in City of London

Are you looking to utilise your experience and expertise in AI, Machine Learning, and Advanced Analytics? We have an exciting opportunity for you!

TCS is a purpose-led transformation company, built on belief. We do not just help businesses 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.

At TCS, it means more to make an impact that matters through challenging projects which demand ambitious innovation and thought leadership.

Responsibilities:

• Develop cutting-edge AI and machine learning solutions that drive business impact at scale.
• Work at the intersection of data science, engineering, and commercial strategy to shape intelligent decision-making.
• Lead innovation through Generative AI, advanced analytics, and modern machine learning technologies.
• Act as a bridge between business stakeholders and technical data teams, focusing on hands-on data science, machine learning engineering, and AI solution development.
• Design, build, and deploy scalable AI solutions that generate actionable insights and power intelligent sales processes.
• Own the end-to-end AI/ML lifecycle, including problem definition, data exploration, model development, validation, deployment, and monitoring.
• Design and develop production-grade AI and machine learning solutions across the sales data platform.
• Build recommendation engines, agentic AI frameworks, Retrieval-Augmented Generation (RAG) solutions, and intelligent summarisation capabilities.
• Deploy machine learning models into batch and real-time environments, ensuring scalability, reliability, and performance.
• Engineer solutions using large language models (LLMs) and foundation models to support chatbots, semantic search, summarisation, and reporting use cases.
• Design APIs, SDKs, and microservices that integrate AI, RAG, and machine learning capabilities into enterprise applications.
• Develop forecasting models, segmentation strategies, optimisation algorithms, and early warning systems to support sales performance and decision-making.
• Lead technical decision-making related to AI infrastructure, governance, model monitoring, and safety controls.
• Conduct experimentation, statistical analysis, and causal inference studies to evaluate business outcomes and solution effectiveness.
• Mentor team members and contribute to best practices in model governance, reproducibility, and data quality.
• Stay current with emerging AI and machine learning technologies and identify opportunities for innovation.

Requirements:

• Proven experience in MLOps, data engineering, software engineering, or machine learning development with recent exposure to Generative AI and advanced analytics.
• Strong understanding of software engineering best practices, including version control, CI/CD, containerisation, monitoring, and deployment automation.
• Proficiency in Python and/or R, with experience using machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Experience with modern AI frameworks such as FastAPI, LangChain, LlamaIndex, or similar technologies.
• Hands-on experience with LLM APIs, foundation models, embeddings, vector databases, RAG architectures, and agentic AI systems.
• Experience working with large-scale datasets using SQL, distributed processing platforms such as Spark, and cloud-based infrastructure.
• Strong communication and data visualisation skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
• Ability to translate business challenges into scalable AI and machine learning solutions.
• Experience collaborating with cross-functional teams including data engineers, software developers, business stakeholders, and UX teams.
• Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or equivalent practical experience.
• Experience delivering AI-driven sales analytics and commercial insight solutions.
• Experience translating business requirements into AI and machine learning products for executive stakeholders.
• Experience with revenue forecasting, sales planning, or commercial operations analytics.
• Hands-on experience with Generative AI frameworks such as LangChain, LlamaIndex, and similar ecosystems.
• Knowledge of vector databases, knowledge graphs, and advanced data modelling approaches.
• Master's degree or PhD in Computer Science, Engineering, Statistics, Data Science, or a related quantitative discipline.

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; 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.