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AWS Engineer

2 months ago

Oxford Oxfordshire, United Kingdom Harnham Full time €100,000

As an LLM Engineer, you will be working with experienced Data Scientists and Data Engineers to deliver and create models of impact for Security purposes. The position requires developing, integrating, and scaling generative AI systems, enhancing data, and collaborating with the broader AI team. Staying current with the latest trends in generative AI and machine learning is essential. The ideal candidate should have experience with large language models (LLMs), including their use in natural language model systems both pre- and post-production. Deploying Data Science/LLM projects straight onto the Defense market.
You will be building Machine Learning/LLM/RAG algorithms and models to create new data products and services using Python.
You will be coding and testing new algorithms for prototype and production applications using Python libraries (TensorFlow and Keras).
You will be translating data into meaningful insights using Python.
Take the lead in the interaction with customers and stakeholders to showcase the project.
You will enhance the functionality and performance of our ML engine, models, and systems.
You will utilize machine learning methods to interpret and analyze data, ensuring continuous adaptation and evolution of our models.
You will collaborate closely with clients in the defence, intelligence, and security sectors, taking a lead role in managing customer relationships and delivering products.
You will work in partnership with the technical team, including data scientists and ML engineers, to integrate the requirements of defence clients into the overall product.


Educated to a MSc or PhD level in Stem subject.
Proven Knowledge in the implementation of Machine Learning techniques.
Strong commercial experience with Python and a proficient knowledge of Python, R, and Scala.
Previous commercial exposure to tools such as Keras, TensorFlow, Python.
Competitive Salary.
Outstanding career progression.
Flexible working .