AI/ML Engineer

AI/ML EngineerLocation Remote (UK) Job Type Full-Time / Contract Experience 2–8 Years Visa: PSW (valid for 1 year), Dependent Visa, British Citizen Only UK Candidates Job Summary We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world business problems. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, Large Language Models (LLMs), and cloud-based AI services. Key Responsibilities * Design, build, and deploy Machine Learning models. * Develop and optimize AI/ML algorithms for production. * Build and maintain Generative AI and LLM-based applications. * Fine-tune and evaluate Large Language Models. * Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with structured and unstructured datasets. * Perform data preprocessing, feature engineering, and model evaluation. * Develop REST APIs using FastAPI or Flask for ML services. * Deploy ML models on AWS, Azure, or GCP. * Collaborate with Data Engineers, Software Developers, and Product teams. * Monitor model performance and improve accuracy. * Maintain documentation and follow MLOps best practices. Required Skills * Python * Machine Learning * Deep Learning * TensorFlow * PyTorch * Scikit-learn * Pandas * NumPy * SQL * Git * Linux Preferred Skills * Large Language Models (LLMs) * OpenAI API * LangChain * LlamaIndex * Hugging Face Transformers * RAG (Retrieval-Augmented Generation) * Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate) * Prompt Engineering * Fine-tuning LLMs * NLP (Natural Language Processing) * Computer Vision * FastAPI / Flask * Docker * Kubernetes * MLflow * Airflow * AWS SageMaker * Azure AI Services * Google Vertex AI Education * Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field. Nice to Have * AWS Certified Machine Learning – Specialty * Microsoft Azure AI Engineer Associate * Google Professional Machine Learning Engineer * Experience with MLOps pipelines * Experience building production AI applications Pay: £37,827.24-£95,825.62 per year Work Location: In person