2 of 2 Part-Time Natural Language Processing Jobs in London

and enhance AI services including AI Insights pilot and AI Automated Answers using LLM/RAG architectures. Maintain and optimize our mission-critical Machine Moderation system using Python-based NLP models deployed on AWS (Lambda, ECS, SageMaker, SQS, SNS). Train, evaluate, and monitor machine learning models using orchestration tools (e.g. Flyte, Airflow). Manage ML pipelines on AWS with … using Scala-based services and maintain API integrations for model serving. Conduct architectural reviews for ML pipeline design and Infrastructure as Code (Terraform). Research and implement novel LLM & NLP approaches for content moderation and consumer insights. Optimize batch and streaming ML workloads processing millions of reviews, questions, and answers daily. Technical Requirements: Strong Python proficiency for ML model … ECS, ECR, SageMaker, MSK, SNS, SQS). Familiarity with ML orchestration platforms and CI/CD pipelines. Knowledge of streaming technologies (Kafka) and high-volume data processing. Experience with NLP, LLMs, and production ML monitoring tools. Ideally with strong a Software Engineering or Computer Science background. Willingness to work with Scala-based systems and learn as needed. Key Technical Areas More ❯

working with stakeholders. Ability to make important strategic calls from a position of curiosity and coalition building. Ability to be able to translate highly technical concepts into an accessible language for different audiences Are a credible leader for highly technical teams – knowledgeable about what high-tech experimentation and delivery looks like and able to create an environment which enables … in the public, private or third sector, working with multiple stakeholder groups, often representing, or holding multiple viewpoints Have in-depth knowledge of AI technologies (machine learning, deep learning, natural language processing, computer vision, etc.), their practical applications and what they can offer public services Have experience in developing and implementing AI governance frameworks and policies that More ❯