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# AI Engineer

- **Company:** Global Ltd
- **Location:** London, UK
- **Salary:** £48,000.0 - £55,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Databases, Data Cleansing, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Google Cloud, Chatbots, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, Machine Learning Operations
- **Published:** May 17, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=512fa797ef577d3f

## About the Role

Do you have a Master's degree?, * Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field

 * Strong knowledge of Python, TensorFlow, PyTorch, or similar frameworks
 * Experience with machine learning algorithms and data modeling
 * Understanding of NLP, Generative AI, or Computer Vision concepts
 * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
 * Knowledge of APIs, databases, and software development practices
 * Strong analytical and problem-solving skills
 * Good communication and teamwork abilities

Preferred Qualifications:

 * Experience working on AI-based products or automation projects
 * Knowledge of LLMs, Chatbots, or Generative AI applications
 * Experience with MLOps and model deployment pipelines

## Description

We are looking for a skilled and innovative AI Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing artificial intelligence and machine learning solutions to solve real-world business problems., * Develop, train, and deploy machine learning and AI models

 * Work with large datasets and perform data preprocessing and analysis
 * Design and optimize NLP, deep learning, or computer vision models as required
 * Collaborate with software developers, data scientists, and product teams
 * Integrate AI solutions into existing applications and systems
 * Monitor model performance and improve accuracy and efficiency
 * Stay updated with the latest AI technologies and industry trends
 * Create technical documentation and reports


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