At a Glance
- Tasks: Design, develop, and deploy cutting-edge AI/ML models and solutions.
- Company: Join TCS, a purpose-led transformation company making a meaningful impact globally.
- Benefits: Enjoy competitive salary, health care, training resources, and discounts within the Tata network.
- Why this job: Be part of innovative projects that drive real change and enhance your skills.
- Qualifications: Experience in AI/ML development, strong programming skills, and familiarity with data science techniques required.
- Other info: Diversity and inclusion are at our core; we welcome applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 with the subject line: “Application Support Request”.
Role: AI/ML and Data Science Developer
Job Type: Permanent
Number of hours: 40 hours per week – full time
Are you looking for an exciting opportunity as an AI/ML? Are you passionate about Data Science?
We have an exciting role for you – AI/ML and Data Science Developer
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.
- Build strong relationships with a diverse range of stakeholders.
- Gain access to endless learning opportunities.
- Work closely with the range of teams within the business to bring products to life.
The Role
As a AI/ML and Data Science Developer , you are required to Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. You will also be responsible for the end-to-end design, development, and deployment of AI/ML models, as well as implementing advanced data science techniques to solve complex problems and drive innovation. In this role you will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML and data-driven solutions.
Key responsibilities:
- Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.
- Perform feature engineering and selection to optimize model performance.
- Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
- Deploy models to production environments, ensuring robustness and scalability.
- Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
- Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems.
- Train, evaluate, and optimize models using machine learning and statistical techniques.
- Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
- Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets.
- Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making.
- Stay updated on the latest advancements in AI/ML and data science technologies.
- Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes
Your Profile
Essential skills/knowledge/experience:
- Good experience in AI/ML development and data science.
- Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn).
- Proficiency in Python, R, or other relevant programming languages.
- Proficiency in working with large datasets, data wrangling, and data preprocessing.
- Experience in data science, statistical modelling, and data analytics techniques.
- Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Ability to work independently and lead projects from inception to deployment.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable.
TCS is consistently voted 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.
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 believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity and inclusion motto is ‘Inclusion without Exception’. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes.
You’ll find a welcoming culture and many internal volunteering and social networks to join (these are optional). Our diversity, inclusion and social activities include 12 employee networks such as gender diversity, LGBTQIA+ & Allies, mental health, disability & neurodiversity inclusion and many more, as well as health & wellness initiatives and sports events and we sponsor the London Marathon.
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.
If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
Next Steps
Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.
Join us and do more of what matters. Apply online now.
Seniority level
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Seniority level
Executive
Employment type
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Employment type
Full-time
Job function
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Job function
Business Development
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Industries
IT Services and IT Consulting
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Artificial Intelligence Specialist employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Specialist
✨Tip Number 1
Familiarise yourself with the latest AI/ML trends and technologies. Being well-versed in advancements like LLMs and GenAI will not only boost your confidence but also impress potential employers during discussions.
✨Tip Number 2
Network with professionals in the AI/ML field. Attend industry meetups, webinars, or online forums to connect with others and learn about job openings that may not be advertised widely.
✨Tip Number 3
Showcase your projects on platforms like GitHub. Having a portfolio of your work can demonstrate your skills and experience effectively, making you stand out to recruiters.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and AI/ML problem-solving scenarios. This will help you feel more confident and ready to tackle questions that may come up during the interview process.
We think you need these skills to ace Artificial Intelligence Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML development and data science. Focus on specific projects where you've designed, developed, or deployed AI/ML models, and mention any frameworks or programming languages you used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and data science. Discuss how your skills align with the responsibilities outlined in the job description, such as feature engineering, model deployment, and collaboration with stakeholders.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, particularly those mentioned in the job description, like proficiency in Python, experience with TensorFlow or PyTorch, and familiarity with big data technologies.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to AI/ML and data science. This shows your commitment to staying updated with the latest advancements in the field, which is crucial for this role.
How to prepare for a job interview at Tata Consultancy Services
✨Showcase Your AI/ML Knowledge
Make sure to brush up on the latest AI/ML algorithms and techniques, especially LLMs and GenAI. Be prepared to discuss your experience with machine learning frameworks like TensorFlow or PyTorch, as well as any relevant projects you've worked on.
✨Demonstrate Problem-Solving Skills
During the interview, be ready to explain how you've tackled complex problems using data science methodologies. Share specific examples of how you’ve used predictive analytics or statistical models to drive business decisions.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, emphasise your ability to collaborate effectively. Discuss instances where you’ve successfully integrated AI/ML models with business applications and how you communicated technical requirements to non-technical stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to data wrangling, feature engineering, and model deployment. Practise explaining your thought process clearly and concisely, as this will demonstrate your expertise and confidence in the subject matter.