21 of 21 Remote/Hybrid Natural Language Processing Jobs in the UK excluding London

leading R&D activity. You will lead the technical delivery of large AI projects, guiding multidisciplinary teams working across areas such as reinforcement learning, natural language processing, large language models, knowledge graphs, and AI applied to sensing domains including imagery, RF, radar, sonar, and acoustics. Alongside … stakeholders Desired experience in one or more of the following areas: AI/ML for imagery and computer vision , including remote sensing Reinforcement learning Natural language processing and large language models Knowledge graphs and graph‐based neural networks AI applied to RF, electronic warfare, radar, sonar ...

solutions into scalable platform capabilities. The Company They are an AI-driven TechBio organisation focused on transforming pharmaceutical research and development. Their platform applies natural language processing, large language models, and knowledge graph technology to structure insights from vast volumes of scientific literature. Working with enterprise … machine learning systems into production, combined with the ability to work confidently in customer-facing environments. Key capabilities include: Hands-on experience deploying NLP or LLM-powered features in production environments Strong knowledge of retrieval-augmented generation systems, retrieval and recommendation architectures, and vector databases Experience building, debugging, and maintaining ...

venture-backed, Series A technology business operating at the intersection of life sciences, data science and artificial intelligence. Their platform applies AI and natural language processing to unlock insights from vast volumes of scientific data, supporting more efficient and informed drug discovery. The organisation is founder ...

detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine ...

help shape modern AI-driven systems. What youll be doing Build and optimise data pipelines and ML workflows Develop and deploy ML models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/CD and MLOps frameworks Collaborate with cross-functional teams ...

level Design scalable solutions across cloud ecosystems (AWS, Azure, GCP) Lead implementation of MLOps frameworks and model lifecycle management Architect advanced AI use cases (NLP, LLMs, Agentic AI) Drive best practice across data governance, modelling, and platform design Engage with senior stakeholders to translate business needs into technical roadmaps What ...

Skills and Experience Strong commercial experience delivering AI, machine learning or data science solutions into production Hands on expertise with LLMs, generative AI and NLP use cases Strong programming skills in Python, with working knowledge of SQL and TypeScript Experience building scalable, well governed AI systems in complex or regulated ...

science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

problem-solving skills * Good communication skills and attention to detail Nice to have: * Experience with Python, R, C# and Cloud platforms * Exposure to NLP, or AI-driven data extraction * Experience within financial services or regulated environments Interested? If you enjoy solving complex data challenges across SQL, automation, reporting, and integration ...

Work directly with editorial stakeholders to define meaningful evaluation criteria for AI generated content Your Skills and Experience Strong commercial experience building LLM or NLP pipelines in production or advanced prototype environments Hands on experience with fine tuning approaches such as supervised fine tuning, prompt or instruction tuning Strong Python ...

agile product development environments. Desirable Experience working in regulated environments or with legal workflows. Thorough understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues ...

LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript. What will give you a competitive edge (preferred qualifications): Expert-level understanding of NLP, Embeddings, and Prompt Engineering. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience designing and implementing data processing ...

LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript.**What will give you a competitive edge (preferred qualifications):*** Expert-level understanding of NLP, Embeddings, and Prompt Engineering.* Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform).* Experience designing and implementing data processing ...

maintenance of complex software products in a DevOps and Agile environment. Deep practical experience with RAG, LLMs, and MLOps. Expert‐level understanding of NLP, Embeddings, and Prompt Engineering. Expert proficiency in Python, React, and TypeScript. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience … designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion, or Azure Data Factory). Deep understanding of the SDLC, API‐Centric Design, and Twelve‐Factor App principles. Proven experience mentoring engineers and leading technical teams to success. Deep familiarity with authentication and authorisation ...

capability. Key responsibilities include: Leading the design and delivery of end-to-end machine learning pipelines aligned to business priorities. Productionising existing ML and NLP proof-of-concepts and scaling them into robust, supported solutions. Implementing best practices across MLOps, data pipelines, model deployment, and monitoring. Working closely with Data … Scientists to support model development, maintenance, and optimisation. Supporting large-scale data processing use cases, including unstructured document and NLP workloads. Contributing as a technical thought leader within an agile, engineering-led environment. Supporting cloud migration, data integration, and platform evolution in Azure and Databricks. Your Skills and Experience ...

technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks ...

client engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply … across defence and public infrastructure What you bring Core requirements Strong data science/machine learning background Experience delivering AI/GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment Experience leading projects, workstreams, or teams Strong stakeholder engagement skills - client-facing ...

will need to be eligible for SC Clearance. The Key Requirements Proven experience in AI/ML R&D (e.g. computer vision, reinforcement learning, NLP, also including Large Language Models). Significant experience conceiving novel applications of AI/ML techniques, particularly adapting and applying academic research. Strong understanding ...

small research projects and larger multi-disciplinary development programmes Providing technical expertise in AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks Mentoring junior engineers … early-stage client interactions Job Requirements: Proven experience in AI and Machine Learning R&D Significant experience in computer vision, reinforcement learning, and NLP Strong software engineering skills, particularly with Python and widely used software tooling Ability to lead agile teams and deliver complex projects at pace Technical leadership skills ...