51 to 75 of 209 Natural Language Processing Jobs in London

junior members of the department, helping them grow Experience Implementing machine learning in production using in-house or third-party data science platforms Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks and Recommendation Systems will be advantageous. You possess excellent communication skills, explaining complicated concepts to non-technical colleagues. Generating insights More ❯

search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯

Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale More ❯

This UK-headquartered business is a recognised leader in digital due diligence and risk intelligence. Their proprietary technology blends AI and natural language processing to support clients across financial services, investment, and professional advisory sectors. With continued growth planned across 2026 and beyond, they're expanding their consulting team to deliver even more value to their global More ❯

technical solutions working with business, technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around natural language processing Proven track record of building and leading high-performance technology teams, and an ability to attract and retain talented individuals An inspirational leader, capable of More ❯

We are seeking a highly skilled LLM Researcher to join our client team, focusing on innovation in Large Language Models (LLMs) and scalable AI deployment. Key Responsibilities Research & Development (Primary Focus) Design and experiment with LLM architectures and transformer-based models aimed at enhancing language understanding and generation tasks. Implement optimization methods, including parameter-efficient finetuning and quantization … strategies. Develop and refine pretraining and fine-tuning pipelines for LLMs, contributing to advancements in natural language processing. Data Engineering Create robust, scalable data pipelines for managing multi-modal datasets ; oversee preprocessing, cleaning, and curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self … technical advances with business needs. Mentor junior researchers and engineers, promoting best practices in LLM development, scalable model deployment, and evaluation processes. Required Skills & Qualifications Experience: 3+ years in NLP, transformer models, deep learning, and scalable AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or More ❯

We are seeking a highly skilled LLM Researcher to join our client team, focusing on innovation in Large Language Models (LLMs) and scalable AI deployment. Key Responsibilities Research & Development (Primary Focus) Design and experiment with LLM architectures and transformer-based models aimed at enhancing language understanding and generation tasks. Implement optimization methods, including parameter-efficient finetuning and quantization … strategies. Develop and refine pretraining and fine-tuning pipelines for LLMs, contributing to advancements in natural language processing. Data Engineering Create robust, scalable data pipelines for managing multi-modal datasets ; oversee preprocessing, cleaning, and curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self … technical advances with business needs. Mentor junior researchers and engineers, promoting best practices in LLM development, scalable model deployment, and evaluation processes. Required Skills & Qualifications Experience: 3+ years in NLP, transformer models, deep learning, and scalable AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or More ❯

effectiveness, ensuring contextual accuracy and user satisfaction. Maintain clear documentation of prompt logic, use cases, and integration strategies. Skills and Experience: More than 3 years of experience in AI, NLP, or prompt engineering. Proven track record of designing and optimising prompts for LLMs such as ChatGPT, Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window More ❯

goals Partner with engineering and data teams to ensure scalable solutions Requirements Extensive experience in data science, including applied statistics and machine learning Familiarity with supervised and unsupervised learning, NLP, neural networks, Bayesian statistics, time-series forecasting, collaborative filtering, and deep learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Experience with cloud platforms More ❯

Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. More ❯

Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. More ❯

Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. More ❯

Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. More ❯

Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site presence in the customer More ❯

Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site presence in the customer More ❯

Deep understanding of machine learning algorithms including but not limited to Logistic Regression, Random Forest, XGBoost. Familiarity with modern deep learning approaches such as BERT, LSTM, and concepts in NLP and Transfer Learning. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

MLflow, Docker, and cloud environments (AWS/Azure/GCP). Excellent communication — able to simplify complex technical ideas for learners of mixed ability. Bonus points for: Experience with NLP/LLMs, Computer Vision or Generative AI Formal teaching qualification or EPA assessor experience Hands-on exposure to responsible AI or prompt engineering Why join? You'll be part of More ❯

evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models … genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in More ❯

evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models … genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in More ❯

evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models … genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in More ❯