9 of 9 Natural Language Processing Jobs in Glasgow

care about producing high-quality, maintainable AI solutions and be keen to develop skills across a broad and evolving technology stack centered on Large Language Models (LLMs), Generative AI, Agentic systems, Python and AWS cloud infrastructure. Job responsibilities: Lead the design, build and deployment of impactful … agentic systems in industry Practical experience with graph technologies including databases and graph analytics frameworks Experience in natural language processing (NLP) and its applications Exposure to public cloud technologies and microservice deployment Experience in the financial services industry User interface design and development experience using React #J ...

engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining … data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity extraction and linking, relevancy ranking, summarization, and news or research feed analytics; exposure to computer ...

engineers. Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-5.5), iterate on model architectures … implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Stay informed about the latest trends and advancements ...

/Agentic RAG pipelines: chunking and indexing, retrieval tuning, re-ranking, grounding checks. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering ...

into AI solution designs and measurable outcomes. Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics. Design and maintain robust data processing, training and evaluation pipelines. Apply Responsible AI principles, ensuring model robustness, explainability, security … such as PyTorch, TensorFlow or Scikit-Learn. Knowledge of autonomy frameworks such as ROS2 or equivalent technologies. Experience working with Computer Vision, Deep Learning, NLP/LLM or Time-Series Analytics solutions. Strong understanding of data analysis and manipulation using tools such as Pandas, NumPy and SQL. Experience deploying ...

leading technology products in a secure, scalable way. You will work on critical solutions across multiple areas, building production Python systems and ML/NLP workloads, including LLM/SLM powered applications and RAG patterns. The role emphasizes secure coding and performance. #J-18808-Ljbffr ...

pipelines and production-grade model code within governance standards. The role requires strong Python, ML lifecycle, and cloud experience, with exposure to Generative AI, NLP, and responsible AI practices. #J-18808-Ljbffr ...

Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing … judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory ...

Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing … judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory ...