8 of 8 Algorithms Jobs in West Sussex

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

Golang development. Strong understanding of Go routines, channels, concurrency, and memory management. Experience building REST APIs and microservices. Strong knowledge of data structures, algorithms, and software design principles. Experience with SQL databases such as PostgreSQL, MySQL, or Oracle. Experience with NoSQL databases such as MongoDB, Redis, or Cassandra. Knowledge ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

world operational needs. Translating SOC analyst pain points, workflows, and use cases into actionable product features and user stories. Designing and validating alert prioritisation algorithms, incident triage workflows, and automated playbook logic based on operational experience. Collaborating with product managers to shape product strategy, roadmap priorities, and feature definitions. Conducting ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. **Data Engineering & Cloud Computing:** Strong proficiency in designing optimized … MLOps/LLMOps Pipelines Data Engineering & Cloud Computing Team Leadership & Mentorship Artificial Intelligence & Machine Learning ATS Optimization Keywords Hard Skills Python SQL Machine Learning Algorithms Natural Language Processing ELT/ETL Pipeline Design Containerization Model Deployment Performance Tracking Hyperparameter Tuning Architecting Complex Systems Soft Skills Autonomy Influence Complex Problem Solving ...