251 to 275 of 286 Natural Language Processing Jobs in the UK

and explainable. AI ENGINEER - ESSENTIAL SKILLS: Proven experience working with LLMs and agentic AI frameworks (e.g. LangChain, AutoGen, CrewAI, RAG). Strong proficiency in Python for AI development, data processing, and API integration. … Solid understanding of AI system design, prompt engineering, and model fine-tuning. Experience working with SQL and modern data ecosystems (GCP, PostgreSQL, or similar). Background in machine learning, NLP, or AI workflow automation. NICE TO HAVE: Experience integrating AI models into production systems using GCP, AWS, or Azure. Familiarity with vector databases, embedding models, or retrieval-augmented generation (RAG … us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: LLMs | LangChain | Agentic AI | AI Agents | Python | SQL | GCP | NLP | RAG | ML | AI Automation | Prompt Engineering More ❯

evolution of their AI capabilities and shape the intelligence behind their platform. This is a hands-on leadership role: you’ll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This Head of AI & Machine … Learning will Take ownership of the company’s AI roadmap — from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent … AI and technology thinking to customers, partners, and the leadership team. What this Head of AI & Machine Learning will bring: Deep experience in NLP/LLMs/semantic search/embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch More ❯

evolution of their AI capabilities and shape the intelligence behind their platform. This is a hands-on leadership role: you’ll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This VP of AI & Machine … Learning will Take ownership of the company’s AI roadmap — from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent … AI and technology thinking to customers, partners, and the leadership team. What this VP of AI & Machine Learning will bring: Deep experience in NLP/LLMs/semantic search/embeddings Proven ability to design, deploy, and scale machine learning systems in production. Strong knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch More ❯

technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure … AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast More ❯

technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure … AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast More ❯

classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. - Develop Monitoring Systems: Create and support robust models for monitoring. - Support and Innovate: Assist with a long tail of super important … production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and More ❯

classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. - Develop Monitoring Systems: Create and support robust models for monitoring. - Support and Innovate: Assist with a long tail of super important … production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and More ❯

or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science … or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science … or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science More ❯

Machine Learning Engineer (LLM) Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid … Bjak Sdn Bhd Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Notes: Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom More ❯

to show practice of commit early and deploy often. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) If you are available and interested, please apply today! Name More ❯

join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their … customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. Implement production-level coding practices, including … Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical More ❯

join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their … customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. Implement production-level coding practices, including … Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical More ❯

be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand of the Team’s knowledge via … demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular code, and deploy following … our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s code. Engage with them to raise standards of More ❯

Machine Learning Lead - Agentic AI, NLP & Generative AI Central London (Hybrid - 3 days/week in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture … direction, and delivery of advanced AI and Machine Learning initiatives. What youll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate … in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs More ❯

Senior Machine Learning Engineer – AI & NLP £100,000 – £110,000 (+10% bonus) London – 4 x a week in office La Fosse have partnered with a global business using cutting-edge AI to transform complex decision-making and data-driven processes. We are seeking a Senior Machine Learning Engineer to design and deploy production-ready ML systems that reduce manual insurance … tasks from hours to seconds. The Role As part of the AI-Engine team, you will: Build ML/NLP pipelines using LLMs and transformer-based architectures. Analyse unstructured data, including medical text and images. Develop predictive models for underwriting decisions. Implement automated ML workflows, CI/CD, and MLOps practices. Architect APIs for model integration and external system interaction. … Monitor performance to ensure scalable, reliable production deployments. What We’re Looking For: Essential: Experience with LLMs (GPT, BERT) and NLP tasks. Fine-tuning pre-trained models for domain-specific applications. Strong Python skills (OOP, PyTorch, Hugging Face, scikit-learn, Pandas, NumPy). Deploying models with Docker, Kubernetes, or serverless platforms. Familiarity with CI/CD, MLOps, and cloud platforms More ❯

Senior Machine Learning Engineer – AI & NLP £100,000 – £110,000 (+10% bonus) London – 4 x a week in office La Fosse have partnered with a global business using cutting-edge AI to transform complex decision-making and data-driven processes. We are seeking a Senior Machine Learning Engineer to design and deploy production-ready ML systems that reduce manual insurance … tasks from hours to seconds. The Role As part of the AI-Engine team, you will: Build ML/NLP pipelines using LLMs and transformer-based architectures. Analyse unstructured data, including medical text and images. Develop predictive models for underwriting decisions. Implement automated ML workflows, CI/CD, and MLOps practices. Architect APIs for model integration and external system interaction. … Monitor performance to ensure scalable, reliable production deployments. What We’re Looking For: Essential: Experience with LLMs (GPT, BERT) and NLP tasks. Fine-tuning pre-trained models for domain-specific applications. Strong Python skills (OOP, PyTorch, Hugging Face, scikit-learn, Pandas, NumPy). Deploying models with Docker, Kubernetes, or serverless platforms. Familiarity with CI/CD, MLOps, and cloud platforms More ❯

of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art … model deployment, evaluation, and optimisation. What we’re looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs … team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership More ❯

Senior AI/ML Engineer Fully Remote £100,000–£120,000 + benefits About the Role Our client, a blockchain analytics scale-up, is looking for a Senior AI/ML Engineer to join their expanding team. They’re scaling More ❯

team at the forefront of applied AI. You'll work on meaningful, real-world challenges with clients across the UK - using state-of-the-art LLMs, computer vision, and NLP to build innovative solutions that deliver real impact. This is a broad, high-impact role, perfect for someone who thrives in fast-paced environments, combines technical depth with strong product … to travel to) either Cardiff or London 2-3 days a week. Bonus points if you also have: A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt evaluation, and dataset curation Familiarity … same. Fine-tune and privately deploy LLMs - with a focus on Retrieval-Augmented Generation (RAG) pipelines Build and scale computer vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients More ❯

team at the forefront of applied AI. You'll work on meaningful, real-world challenges with clients across the UK - using state-of-the-art LLMs, computer vision, and NLP to build innovative solutions that deliver real impact. This is a broad, high-impact role, perfect for someone who thrives in fast-paced environments, combines technical depth with strong product … to travel to) either Cardiff or London 2-3 days a week. Bonus points if you also have: A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt evaluation, and dataset curation Familiarity … same. Fine-tune and privately deploy LLMs - with a focus on Retrieval-Augmented Generation (RAG) pipelines Build and scale computer vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients More ❯

Science, Software Engineering, or a related field. You have 6+ years of experience in software engineering with at least 3+ years of experience in ML/AI engineering or NLP-related software development. You are an engineer at heart, you enjoy building working systems more than writing research papers. You have strong Python skills and experience in building and maintaining … quality education creation accessible to everyone. Company Synthesia Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of More ❯

present skillset ? Min 4 years of relevant experience ? Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering ? Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus ? Capacity to multi-task in a fast paced environment while keeping strong attention to detail ? Coding skills required in at least one leading programing … language (Python, R, Matlab and/or C++, C#) ? Experience in exploring large datasets across multiple time frames is a plus ? Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields ? Capacity to work with autonomy within a collegial and collaborative environment ? Strong capacity to communicate with technologists, data More ❯

millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that consults other teams use of LLMs … Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms. More ❯

production — while guiding an experienced RPA team and mentoring offshore developers. You’ll collaborate closely with business and technology leaders to design and deploy automation that blends machine learning, NLP, computer vision, and intelligent document processing. The Role Lead the technical delivery of intelligent automation initiatives across key business functions. Manage and mentor offshore development teams. Design robust, scalable automation … the development of Arch’s AI Centre of Excellence. Requirements Proven leadership in analytics or automation roles, within insurancem ideally P&C Strong technical foundation in AI/ML, NLP, OCR/IDP, or related technologies. Experience managing cross-functional or distributed teams. Strategic mindset with the ability to simplify complex problems. Hands-on Python skills are a plus. Education More ❯