11 of 11 Remote/Hybrid Contract Natural Language Processing Jobs

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

andoptimisemulti-agent AI systems usingLangGraphor similar frameworks. Integrate LLMs into agent workflows for search, reasoning, and automation at scale. Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment Implement, andmaintainmulti-account ...

Data Science at Head-of/Director level Strong background in AI strategy, delivery, and enterprise-scale implementation Deep technical expertise across ML, LLMs, NLP, and cloud platforms Experience building and leading high-performing AI teams Demonstrated success driving AI transformation in complex organisations Excellent stakeholder management and communication skills ...

technical depth, applied ML engineering, solution design, and hands-on development. Key Responsibilities Design, build, and train end-to-end machine learning models across NLP, predictive analytics, classification, and computer vision use cases Experiment with algorithms, optimise hyperparameters, and evaluate model performance Collect, process, and prepare structured and unstructured datasets … Profile & Required Expertise 10+ years software engineering experience, including 5+ years in applied AI/ML Advanced proficiency in Python, PyTorch, TensorFlow, and modern NLP frameworks Hands-on experience with LLMs, transformer architectures, LangChain, and Hugging Face Strong knowledge of algorithms, machine learning lifecycles, and model evaluation techniques Deep understanding ...

integrating models into production systems. Your Responsibilities (Up to 10) Model Development Design, build, and train machine learning models for predictive analytics, classification, NLP, computer vision, or other AI applications. Experiment with algorithms and optimize hyperparameters for performance. Data Preparation Collect, clean, and preprocess large datasets for training and validation. … Experience (Up to 10) 10+ years of experience in software engineering, with 5+ years in AI/ML. Expert in Python, PyTorch, TensorFlow, and NLP frameworks. Proven experience with LLMs, transformer architectures, and LangChain/Hugging Face. Strong foundation in algorithms, model evaluation, and ML workflows. Deep understanding of BFSI ...

compliance, and customer trust while leveraging advanced analytics and automation. Your Responsibilities Design, develop, and optimize RAG-based solutions integrating retrieval systems with large language models. Build and maintain applications using LangChain to orchestrate complex AI workflows. Implement and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) for fast … updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying AI models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine ...