16 of 16 Part-Time Natural Language Processing Jobs in England

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 ❯

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 ❯

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 ❯

ready data and scalable pipelines. Nice to have Prior experience working in financial services or within a marketing analytics function. Knowledge of customer lifetime value modelling, recommendation systems, or NLP-based content personalization. Exposure to regulatory considerations in marketing data usage (e.g., GDPR, data privacy in finance). 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 ❯

high-trust team solving big, bold problems. What Youll 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 ❯

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 ❯

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 ❯

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 ❯

Position:AI Engineer Employment Type: Contract Start: ASAP (October/November 2025) Duration: 6Months Location: South Yorkshire, UK - Hybrid Language(s): English Focus on SAP is a specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale. Client Partneredwith a global leader in digital transformation and IT services, working with some of … assessments , evaluating approaches and providing actionable recommendations. Develop and optimise classification algorithms and perform data preparation activities. Work in one or more areas of AI expertise , such as image processing, text extraction, clustering, classification, or embedding models. Implement drift detection and … model monitoring frameworks (experience with AgentEvals for LLMs is a plus). Key Skills: Proven experience in Chatbot Development using: Python, PyCharm, NumPy, Pandas TensorFlow/Deep Learning/NLP frameworks MySQL, PostgreSQL, NoSQL, RDBMS design & data modelling GitHub, Jenkins for CI/CD and version control Strong background in data modelling, wrangling, and extraction Good to Have Hands-on 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 ❯

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 ❯

company advancing mental health research and supporting real-world NHS applications. They are now hiring an AI Engineer to join their growing technical team focused on deploying AI and NLP applications at scale. Youll collaborate closely with data scientists, researchers, and engineers to translate cutting-edge models into production systems, helping deliver impactful clinical tools and insights. What youll be … doing Building infrastructure to deploy NLP and AI models into production Developing backend services and workflows using Python, SQL, and orchestration tools Supporting MLOps, monitoring, and reproducibility of deployed systems Collaborating with cross-functional teams to operationalise research outputs Writing clean, well-documented code and contributing to testing frameworks What were looking for Solid Python engineering experience and familiarity with … containerised environments (Docker, Kubernetes) Knowledge of orchestration tools (e.g. Airflow), queuing systems (e.g. RabbitMQ), and Redis Experience working with or deploying NLP models or large language models Understanding of reproducibility, testing, and modern software practices Strong communication skills and collaborative mindset Desirable Background in healthcare, research environments, or data science teams Experience working with EHR data, Spark, or optimised More ❯