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# AI Engineer

- **Company:** bigspark
- **Location:** UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Automation of Tests, Microsoft Azure, Big Data, Computer Programming, Continuous Delivery, Continuous Integration, Data Cleansing, Distributed Computing Environment, Apache Hadoop, Machine Learning, Natural Language Processing, Tensorflow, Software Construction, Software Engineering, Reinforcement Learning, Google Cloud, Cloud Platform System, Feature Engineering, Pytorch, Apache Spark, Deep Learning, Model Validation, Scikit Learn, Information Technology, Machine Learning Operations, Software Version Control, Unsupervised Learning
- **Published:** June 8, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=6ce65e1ab5284864

## About the Role

* Degree in Computer Science, Machine Learning, or a related field.
 * Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
 * Knowledge of software engineering best practices, including version control, automated testing, and continuous integration/continuous deployment (CI/CD).
 * Experience with natural language processing (NLP), computer vision, or other specialized domains within AI/ML.
 * Proven experience in developing AI/ML solutions, preferably in a commercial setting.
 * Strong proficiency in Python programming and popular libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
 * Solid understanding of machine learning concepts, algorithms, and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc.
 * Hands-on experience with data preprocessing, feature engineering, and model evaluation/validation.
 * Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models at scale.
 * Excellent problem-solving skills, attention to detail, and ability to work independently or collaboratively in a team environment.
 * Effective communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

## Description

In your hands-on role of AI Engineer you will

 * Adhere and contribute to our delivery principles
 * Develop scalable and efficient AI pipelines for training, testing and deploying machine learning models in a production environment.
 * Optimize performance and accuracy of AI models through experimentation and fine-tuning.
 * Thorough understanding of the Machine Learning Operation (MLOps) and model lifecycle
 * Stay up to date with the latest advancements in AI and machine learning technologies and incorporate into our solutions as appropriate.
 * Interact with stakeholders and program management to understand client requirements
 * Solution Design - Using predefined architectural components to agree an acceptable design
 * Deliver software development for clients, whilst collaborating with team members at various levels across the globe


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