Python Developer

Wipro

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Continuous learning and development
Wellbeing initiatives
Collaborative working environment

Job summary

Wipro is seeking an AI / Machine Learning Engineer to design, build, and deploy ML models for enterprise-scale solutions. You will work with data, architecture, and product teams to deliver AI-driven outcomes and scalable pipelines.

Responsibilities include implementing NLP, CV, predictive analytics, and Generative AI while integrating models via APIs and microservices. Collaboration and continuous learning are emphasized across global clients.

Qualifications

  • Proficient in Python with ML frameworks such as TensorFlow/PyTorch.
  • Experience handling data with Pandas/NumPy and SQL.
  • Knowledge of supervised and unsupervised learning and deep learning concepts.

Responsibilities

  • Design, build, and deploy ML/AI models for client use cases.
  • Create end-to-end AI pipelines: data prep, feature engineering, training, evaluation, deployment.
  • Implement NLP, computer vision, predictive analytics, and Generative AI solutions.

Skills

Python programming
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
SQL
Supervised learning
Unsupervised learning
Deep learning fundamentals
REST APIs

Tools

Docker
Flask
FastAPI

Job description

IntroductionWipro is looking for an AI / Machine Learning Engineer to work closely with our data, architecture, and product teams to deliver impactful AI-driven solutions. As an AI / Machine Learning Engineer, you will design, build, and deploy machine learning and AI models that solve real business problems at enterprise scale. You will be part of a collaborative, innovation-focused team driving intelligent transformation for global clients.

About Wipro

Wipro is a well-led, global technology services and consulting organisation, recognised as a Top Employer for our people practices and commitment to Inclusion and Belonging. We continue to see strong business growth, supported by innovation, responsible technology, and a culture that empowers our employees to learn, grow, and make a difference.

Your Benefits

You will be joining a fast-paced and growing organisation. As an AI / Machine Learning Engineer, you will receive a competitive salary and a comprehensive benefits package, including continuous learning and development opportunities, wellbeing initiatives, and a collaborative working environment that supports career progression.

  • competitive salary
  • continuous learning and development opportunities
  • wellbeing initiatives
  • collaborative working environment that supports career progression
Your Responsibilities
  • Design, build, and deploy machine learning and AI models aligned to client business use cases
  • Develop end-to-end AI pipelines including data preparation, feature engineering, model training, evaluation, and deployment
  • Implement NLP, computer vision, predictive analytics, and Generative AI solutions
  • Integrate AI models into enterprise applications using APIs and microservices
  • Champion MLOps practices including CI/CD, model versioning, monitoring, and retraining
Mandatory Skills
  • Python programming, with exposure to Java considered an advantage
  • Machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Data handling using Pandas, NumPy, and SQL
  • Supervised and unsupervised learning with deep learning fundamentals
  • Model deployment using REST APIs, Flask or FastAPI, and Docker
Desirable Skills
  • Cloud platforms such as AWS, Azure, or GCP for model hosting and pipelines
  • CI/CD tools and version control using Git
  • Microservices-based architectures
  • Performance optimisation for scalability, latency, and cost efficiency
Equal Opportunities

Wipro is an advocate for positive change and conscious inclusion. As a global employer, we are committed to building a diverse and inclusive workplace where everyone can thrive. All qualified applicants are welcome and encouraged to apply.

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