5 of 5 Remote Natural Language Processing Jobs in Oxfordshire

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

trust team solving big, bold problems. What You’ll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference Deploying to cloud and edge environments using Terraform, Helm, and Kubernetes (EKS More ❯

trust team solving big, bold problems. What You’ll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference Deploying to cloud and edge environments using Terraform, Helm, and Kubernetes (EKS More ❯

into ML workflows Writing clean, production-level code to support large-scale model development and deployment Optimising storage, retrieval, and processing for complex datasets, including text-heavy/NLP data Evaluating and adopting new technologies to enhance machine learning infrastructure What you bring Strong software engineering experience, with a focus on writing high-quality, scalable code Experience in data … Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka, Airflow, Dagster, Kedro) Background in industries with complex datasets, such as healthtech, NLP, or other large-scale data applications Leadership opportunity Alongside core engineering hires, the team is also seeking one senior profile with people leadership experience - ideally a 50/50 split More ❯

into ML workflows Writing clean, production-level code to support large-scale model development and deployment Optimising storage, retrieval, and processing for complex datasets, including text-heavy/NLP data Evaluating and adopting new technologies to enhance machine learning infrastructure What you bring Strong software engineering experience, with a focus on writing high-quality, scalable code Experience in data … Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka, Airflow, Dagster, Kedro) Background in industries with complex datasets, such as healthtech, NLP, or other large-scale data applications Leadership opportunity Alongside core engineering hires, the team is also seeking one senior profile with people leadership experience - ideally a 50/50 split More ❯