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# AI & Machine Learning Engineer

- **Company:** Profile Software
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Tensorflow, Software Engineering, Pytorch, Large Language Models, Prompt Engineering, Keras, Information Technology, HuggingFace, Spacy
- **Published:** July 26, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=2632cb47c682f5a2

## About the Role

* Bachelor's degree in Computer Science, Mathematics, Physics, or related fields.
 * Master's degree in AI, Machine Learning, NLP, or related fields.
 * 5+ years proven AI experience
 * Strong software engineering background.
 * Strong programming skills in Python.
 * Experience with Spacy, HuggingFace, TensorFlow/Keras/PyTorch.
 * Proven experience with prompt engineering.
 * Proven track record of developing and deploying machine learning models and applications in production.
 * Knowledge and experience with OpenAI/Anthropic APIs and other commercial AI products.
 * Basic experience of building and deploying services on cloud computing providers such as AWS or Azure.
 * Strong collaboration and communication skills to work within inter-disciplinary teams.
 * Prior experience in the Financial sector is a strong advantage

## Description

The AI & Machine Learning Engineer, based in Athens, Greece, is responsible for designing and developing integrated AI systems, implementing ML algorithms, conducting experiments, and staying updated with the latest developments in the field. Your will collaborate with interdisciplinary teams to build efficient applications at the intersection of AI and Finance.

What You Will Do:

 * Develop and deploy AI solutions at production scale, leveraging state-of-the-art technologies.
 * Work with large language models (LLMs), both closed and open-source, to solve complex problems.
 * Experiment with and refine prompt engineering techniques to improve model performance.
 * Design and optimize neural networks for various applications.
 * Utilize OpenAI and Anthropic APIs to build and enhance intelligent solutions.
 * Keep abreast of developments in the field.


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