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# AI Developer

- **Company:** CloudiQS
- **Location:** UK (Remote available)
- **Salary:** £31,000.0 - £144,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, C (Programming Language), Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Artificial Neural Networks, Bash Shell, Big Data, Computer Programming, Data Mining, Data Visualization, Database Design, Database Schema, Apache Hadoop, Python (Programming Language), Unix Shell, Machine Learning, Natural Language Processing, Cloud Services, Tensorflow, SAS (Software), SQL Databases, Systems Architecture, Pytorch, Apache Spark, Deep Learning, Statistics Packages, Data Management, Machine Learning Operations, Data Pipelines, Programming Languages
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0be47c71331eb9e1

## About the Role

* AWS Skills ans certification is a must!
 * Proficiency in machine learning frameworks including TensorFlow and experience with natural language processing techniques.
 * Strong programming skills in Python, Java, C, and Bash (Unix shell scripting).
 * Hands-on experience with big data technologies such as Hadoop, Spark, SAS, and SQL databases.
 * Knowledge of cloud platforms like AWS for deploying AI models at scale.
 * Expertise in data mining, database design, and data analysis using R or similar statistical tools.
 * Familiarity with AI concepts including neural networks, deep learning, and natural language processing applications.
 * Ability to interpret complex datasets through data visualization tools and communicate findings effectively.

## Description

* Develop and optimize machine learning algorithms using frameworks such as TensorFlow and PyTorch to enhance AI capabilities across various applications.
 * Design and implement scalable data pipelines utilizing big data tools like Hadoop, Spark, and SQL databases to manage large datasets efficiently.
 * Collaborate with cross-functional teams to translate business needs into technical solutions, including natural language processing (NLP) models for language understanding tasks.
 * Conduct data mining and exploratory data analysis to uncover patterns, trends, and insights that inform model development.
 * Write clean, efficient code in programming languages such as Python, Java, C, and Bash (Unix shell) to support model deployment and integration.
 * Utilize cloud services like AWS for deploying scalable AI solutions while ensuring security and performance standards are met.
 * Maintain comprehensive documentation of algorithms, data schemas, and system architecture for ongoing development and troubleshooting.