AI Engineer – Data & Reporting in London

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

Role: AI Engineer – Data & Reporting

Job Type: Permanent / Fixed Term

Location: London, UK

Mode of Working: Hybrid

Working Hours: 40 hours per week (Full-time)

Careers at TCS: It Means More. 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.

The Role: As an AI Engineer – Data & Reporting, you will act as a bridge between business stakeholders and technical data teams, with a strong focus on hands-on data science, machine learning engineering, and AI solution development. Working within the Reporting team as part of the WW Sales Enablement and Transformation function, you will design, build, and deploy scalable AI solutions that generate actionable insights and power intelligent sales processes. This role combines deep technical expertise with business understanding, requiring end-to-end ownership of AI and machine learning solutions from problem definition through deployment, monitoring, and impact measurement.

Key Responsibilities:

• 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.
• Own the end-to-end AI/ML lifecycle, including problem definition, data exploration, model development, validation, deployment, and monitoring.
• Develop forecasting models, segmentation strategies, optimisation algorithms, and early warning systems to support sales performance and decision-making.
• Collaborate with engineering, sales operations, and business stakeholders to embed intelligent capabilities into reporting and analytics platforms.
• 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.

Your Profile:

Essential Skills & Experience:

• 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.

Desirable Skills & 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.
• Experience with anomaly detection, experimentation, and causal inference techniques.
• Familiarity with distributed systems technologies such as RabbitMQ, Redis, Valkey, and event-driven architectures.
• 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.

Rewards & Benefits: TCS is consistently voted as a Top Employer in the UK and globally. 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; we are the proud sponsors of the London Marathon.

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.

Next Steps: Application Process Online application: You can apply directly through LinkedIn/ by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact us. Skill-Based discussion: This will be a level 1 interview with the project team; it can be via video or in-person. Details will be confirmed by your recruiter. Managerial discussion: This discussion will focus on behavioral aspects and person-organization fit. HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have.

Join us and do more of what matters. Apply online now.