AI / Machine Learning Engineer

AI / Machine Learning Engineer

Full-Time On-site
Vidit Technologies Limited

We are looking for an experienced AI/ML Engineer to join our growing AI team. You will design, build and deploy machine learning models and AI solutions for our business clients.

About the Role

VIDIT TECHNOLOGIES is expanding its AI & Innovation team and is seeking a skilled AI/Machine Learning Engineer. You will work alongside researchers, data scientists and software engineers to build practical AI solutions that deliver real business value.

Responsibilities

  • βœ“ Design, develop and deploy machine learning models into production environments
  • βœ“ Work with clients and internal teams to translate business problems into AI solutions
  • βœ“ Build and maintain data pipelines for model training and inference
  • βœ“ Conduct exploratory data analysis and feature engineering
  • βœ“ Evaluate and benchmark model performance against business objectives
  • βœ“ Implement MLOps best practices for model versioning, monitoring and retraining
  • βœ“ Collaborate with software engineers to integrate AI into applications

Requirements

βœ“ Degree in Computer Science, Data Science, Mathematics or equivalent experience

βœ“ Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)

βœ“ Experience building and deploying production ML models

βœ“ Understanding of supervised and unsupervised learning techniques

βœ“ Experience with cloud platforms (AWS, Azure or GCP)

βœ“ Strong problem-solving skills and attention to detail

  • Experience with LLMs and generative AI (OpenAI, Hugging Face, LangChain)
  • Knowledge of NLP or computer vision
  • Experience with MLflow, Kubeflow or similar MLOps tools

What We Offer

  • βœ“ Competitive salary based on experience
  • βœ“ Diverse AI projects across multiple industries
  • βœ“ Collaborative and research-driven team environment

AI / Machine Learning Engineer Β· United Kingdom (Hybrid / Remote)

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Vidit Technologies Limited

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Vidit Technologies Limited Recruitment Team