Salary: 85,000 - 85,000 GBP per year Requirements:
* I seek a strong background in Machine Learning & NLP, with hands-on experience in LLMs, generative AI, and text-based AI solutions.
* You should have proficiency in Python, Java, and AWS, as well as experience with Spring Boot, Kubernetes, and MongoDB.
* Expertise in model training, deployment, and optimisation, specifically with RAG-based architectures is essential.
* I expect experience in scalable cloud-based AI solutions, particularly in AWS and Kubernetes environments.
* Strong software engineering skills, including code optimisation and system design, are required.
* Experience leading AI/ML projects and mentoring junior engineers is also necessary.
Responsibilities:
* I will have you lead AI/ML projects focused on NLP, Generative AI, and LLM applications.
* You’ll be responsible for designing and deploying retrieval-augmented generation (RAG) models for enterprise AI solutions.
* You will develop intent detection and entity extraction models to enhance AI-driven interactions.
* I need you to architect and optimise ML pipelines for scalability, efficiency, and performance.
* You will collaborate with cross-functional teams to integrate AI solutions across the product stack.
* I expect you to drive cost optimisation for AI models deployed in cloud environments (AWS).
* You’ll provide mentorship to junior engineers and guide AI/ML best practices.
Technologies:
* AI
* AWS
* Architect
* Cloud
* Java
* Kubernetes
* LLM
* Machine Learning
* MongoDB
* Python
* Spring
* Spring Boot
More:
I am seeking a Senior Machine Learning Engineer to lead the development of cutting-edge NLP, AI, and machine learning solutions. This role will focus on LLM-powered applications, intent recognition, and AI-driven automation. You will work on designing and deploying RAG-based generative AI models, entity extraction, and classification systems, pushing the boundaries of AI-driven services. If you have any further questions about the role, please feel free to reach out.