126 to 150 of 194 Natural Language Processing Jobs in the UK

transforms product development, internal operations, and team structure/li li You’ve implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation/li li You’re excited by agentic AI and understand how autonomous systems can handle workflows end to end, not just ...

over-engineering Maintain a high bar for clarity, reproducibility, and long-term maintainability What we're looking for Strong foundations in machine learning (e.g. NLP, information extraction, representation learning) Systems-oriented mindset - performance in production matters more than benchmarks Comfort working in ambiguity and defining problems from first principles Intellectual ...

tier venture firm, and now operating at global scale following a high-profile acquisition, this team is tackling some of the hardest NLP problems in finance and law. Their customers include many of the world's leading law firms and the demand for what they're building is accelerating fast. … APIs that power a document analysis platform used by major legal and financial institutions Write high-performance, maintainable server-side code and data processing pipelines Define clear, efficient API contracts and contribute meaningfully to service architecture decisions Design compositional API primitives that accelerate the productionisation of a growing library ...

across Supply Operations. Key Responsibilities • Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes • AI & Analytics: Support development based on AI/ML-based tools for decision … process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) • Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) • Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) • Familiarity with ...

Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code).* Experience … Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance, life insurance and travel cards. ...

with at least one of the following: fine tuning or deploying computer vision models (CNNs, ViT, VLM, Gen AI); fine tuning and deploying large language models; deploying agentic and Generative AI based solutions.* Hands-on experience with Python, PyTorch and containers.* Enjoy working with multiple levels and teams across … startups, or working with digital twins.* Development experience with Kubernetes, Helm or Slurm* Experience with CICD and MLOPS technologies for building computer vision, NLP, Digital Twins or data analytics applications.* Hands-on experience in creating solutions using NVIDIA software libraries and GPUs.* Effective interpersonal and communications skills in additional languages ...

Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude … data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into ...

reproducibility and reliability. Drive architectural decisions for data‐intensive, AI‐driven applications, making sharp trade‐offs between cutting‐edge approaches and production readiness. Apply NLP and GenAI to extract structure from unstructured financial documents: credit agreements, indentures, and servicer reports. Build and deploy models that operate on structured finance data … with cloud infrastructure (AWS preferred) and modern MLOps practices. Commitment to people development: mentoring, performance conversations, and building high‐performing teams. Bonus: experience with NLP on financial contracts, RAG or LLM‐based applications on structured data, large‐scale loan data pipelines, or containerization tooling (Docker, Kubernetes, Terraform). Competitive salary ...

simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two‐sided marketplace, e‐commerce, or the travel technology industry. Accessibility ...

NLP PEOPLE in Blackwater, England, is seeking a Machine Learning Engineer to build and deploy ML solutions in production-grade engineering systems. The role involves maintaining the ML pipeline and translating complex problems into ML-driven solutions. Candidates should have strong Python skills and experience with real-world datasets, along ...

NLP PEOPLE in Oxford is looking for a Machine Learning Engineer to join their innovative ML Team. In this role, you will be responsible for developing and integrating machine learning and deep learning models into real-time gaming environments, collaborating with cross-disciplinary teams, and mentoring junior engineers. The position ...

ideal candidate will hold a Bachelor’s degree and have professional experience in software development, focusing on search technologies with a strong emphasis on NLP processing. The company offers a competitive salary and a supportive culture. #J-18808-Ljbffr ...

NLP PEOPLE is looking for a Principal Machine Learning Engineer to join their team in Manchester. This hybrid role focuses on the strategic direction and management of production AI/ML products, ensuring robust performance and regulatory compliance. You will lead the Machine Learning Engineering team, defining strategies that maximize ...

navigating evolving mainstream AI models and algorithm trends, skilled in discerning nuanced requirements for the chip layer. Mastery in technical problem‐solving, especially in NLP and large‐scale AI models, able to pinpoint and resolve bottlenecks. Pioneers in strategic development and innovation, guiding planning and architecture for cutting‐edge chip ...

Senior AI Engineer (NLP/LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex … data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business ...

Senior AI Engineer (NLP/LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex … data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business ...

umbrella company) Key Responsibilities * Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes * AI & Analytics: Support development based on AI/ML-based tools for decision support … process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) * Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) * Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) * Familiarity with ...

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 ...

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 ...

important role in enhancing our metrics offering. As our first dedicated ML hire, you’ll be utilising an array of modern LLM and NLP techniques to analyse complex financial data and unlock new capabilities for our market-leading suite of trade surveillance products. This role will see you combine hands … potential market abuse scenarios Apply machine learning and statistical techniques to large-scale financial datasets, improving accuracy and reducing false positives Leverage LLM and NLP models to extract insights from unstructured data and integrate them into existing analytics workflows Collaborate closely with quantitative developers, data engineers, and product teams ...

data scientists and data engineers to turn experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Provide hands on technical leadership, contributing … Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures. Experience preparing data and pipelines for LLM based use cases and NLP workloads. Strong Python skills, with experience building APIs or services, for example using FastAPI. Confidence working across the full delivery lifecycle, from design through ...

data scientists and data engineers to turn experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Provide hands on technical leadership, contributing … Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures. Experience preparing data and pipelines for LLM based use cases and NLP workloads. Strong Python skills, with experience building APIs or services, for example using FastAPI. Confidence working across the full delivery lifecycle, from design through ...

long‐term AI and discovery strategy across Elsevier platforms. Qualifications Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP or a related quantitative field. 10+ years of experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI. Significant experience … leadership. Demonstrated ability to balance strategic leadership with pragmatic execution in rapidly evolving AI environments. Preferred Qualifications PhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or a related field. Experience leading search, ranking, recommendation, or AI evaluation organisations at scale. Experience building evaluation systems for LLM‐powered ...