7 of 7 Part-Time Natural Language Processing Jobs in the City of London

A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python and ML frameworks like PyTorch More ❯

and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud More ❯

applications that drive meaningful business outcomes. The Role As our Generative AI Engineer , youll be at the forefront of innovation, designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. Youll partner closely with stakeholders across Product, Design, and Operations to translate business needs into intelligent, scalable applications. This More ❯

Senior NLP Researcher - London About the Opportunity Join our client's cutting-edge AI research team as they push the boundaries of Large Language Model technology. We're seeking an experienced researcher who thrives on solving complex challenges in foundation model development and wants to make a real impact on the future of AI. What You'll Be Doing … in LLM architectures, transformer optimisation, and novel training methodologies Explore parameter-efficient techniques, quantisation strategies, and innovative pretraining approaches Pioneer developments in multi-modal AI systems and next-generation language understanding Technical Leadership & Implementation Build and optimise large-scale training infrastructures for foundation model development Design robust data engineering solutions for complex multi-modal datasets Lead end-to-end … applications Provide technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level More ❯

research whilst being able to convert them into viable commercial products. Wed expect you to have: At least 5 years commercial development experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development More ❯

be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel More ❯

AI Engineer - Remote London - 120,000 160,000 + bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. Youll work across the full ML lifecyclefrom dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. Salary … vector databases, embeddings, and autonomous task orchestration. Experience deploying AI models in production with MLOps best practices. Cloud experience: AWS, GCP, or Azure. Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. Strong problem-solving skills and the ability to translate research into production systems. If youre interested, get in touch ASAP with a copy of your More ❯