301 to 325 of 379 Natural Language Processing Jobs in England

of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available … in the industry and revolutionize how companies interact with AI. We're looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you'll play a More ❯

science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short … essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in More ❯

for the deaf community. This company is the first of its kind, using cutting-edge tech to translate digital and written content into sign language - making information truly accessible for everyone. They're small, scrappy, ambitious, and working on a platform that combines AI, microservices, and cloud-native infrastructure … one. Hybrid freedom: Mostly remote, with occasional travel to meet the team. What You'll Do Design and develop ML models from scratch for NLP, computer vision, or generative AI Collaborate with engineers and designers to ship end-to-end features Work across the stack (Python, backend, and some frontend … Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms like AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform More ❯

to form and validate hypotheses. Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Collaborating with seasoned Applied Scientists and proposing best-in-class … to collaborate effectively across multiple teams and stakeholders, including development teams, product management, and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP, or Computer Vision preferred. 3+ years of relevant work experience in a related field (project management, customer advocate, product owner, engineering, business analysis). Diverse More ❯

team Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to … tasks that can be performed by you and others. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience with prompting More ❯

Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research … and help direct reports grow and contribute to the wider group. Innovate : You will innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a … publications in top-tier conferences or other influence in the research community. 5+ years of hands-on experience leading teams building advanced ML/NLP/IR systems in academia (e.g. through student supervision) or for commercial applications. Extensive experience with deep learning and large-scale model training. Experience working More ❯

and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++ … Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms More ❯

US team. Required Skills and Experience: Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills … aptitude for translating complex theoretical research into practical applications. Day to Day Conduct research and implementation on the development, training, and deployment of large language models, with a willingness to work on both pre-training and post-training (fine-tuning, alignment, optimization) processes. Collaborate closely with US researchers teams … Design and implement systems for reproducibility and traceability in data preparation Develop and maintain documentation and codebases. Stay current with advancements in machine learning, NLP, and AI, and bring them to future projects This is a truly unique opportunity to work with some of the brightest minds in the industry More ❯

maintain code and technical specifications. About you You are a passionate and innovative problem-solver with a deep fascination for the potential of Large Language Models. You possess a strong understanding of prompt engineering principles and are eager to experiment with cutting-edge techniques. You thrive in a fast … Qualifications and experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Proven experience in working with Large Language Models (LLMs) such as Gemini, LaMDA, or similar. Strong understanding of prompt engineering principles and techniques. Excellent analytical and problem-solving skills, with a … adapt quickly to the rapidly evolving field of LLMs. Desirable but not essential: Experience with fine-tuning LLMs. Contributions to open-source LLM or NLP projects. Experience of working with health data and adhering to regulatory requirements. Familiar with IPaaS platforms for prototyping. Experience in working in healthcare software development. More ❯

problems. Ideally you'd have: At least 1-3 years of model training, deployment and maintenance experience in a production environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP … related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML More ❯

team with the hire of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Mentor and guide other … in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. Strong Model Deployment & software engineering skills to contribute to Machine Learning Engineering tasks. If this role interests you and you would More ❯

extraction for Catalog completeness and consistency, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision. RBS Sciences team has grown to 11+ Applied Scientists and created multi-million dollar impact by developing foundational models for these business … to collaborate effectively across multiple teams and stakeholders, including development teams, product management, and operations. PREFERRED QUALIFICATIONS - Master's degree with specialization in ML, NLP or Computer Vision preferred. - 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis). More ❯

they are efficient, scalable, and reliable. ML Component Integration: Integrate state-of-the-art machine learning components into data pipelines to enhance our data processing and analysis capabilities. Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and ensure the integrity and accuracy of … closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals and timelines. Innovation: utilise modern NLP techniques to improve data understanding and processing while staying updated with the latest developments in data science and engineering. Qualifications: Experience: Minimum of … plus! Education: Degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: - Proficiency in Python, SQL and Pandas - Experience with modern NLP techniques and tools. - Ability to create and manage data quality metrics and dashboards. - Experience working in a multifunctional agile development team. - Proficiency in using Git More ❯

Algorithms and Tools team! This Machine Learning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large Language Models (LLMs) and Generative AI algorithms. This involves deep analysis of neural networks, optimizing software and hardware, developing innovative solutions, and collaborating with teams … science, software engineering or other comparable skills • Experience training and debugging neural networks with TensorFlow and PyTorch using Python • Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms. • Experience using software development platforms and continuous integration systems • Familiarity with Linux and cloud services • Have a strong … power embedded devices. Company: ARM Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom More ❯

AI/ML models. Collaborate with data scientists to optimise model performance and accuracy. Develop and maintain AI/ML pipelines for data ingestion, processing, and model training. Integrate AI/ML models with existing applications and systems. Stay up-to-date with the latest advancements in AI/… for AI models. Strong academic background: A degree in Computer Science, Artificial Intelligence, or a relevant area of study is highly desirable. Experience with NLP or computer vision: Experience with containerization technologies (e.g., Docker, Kubernetes) would be a benefit to this role. Contributions to open-source AI/ML projects … in data cleaning, transformation, and preparation for AI model training. Strong analytical skills to interpret data and evaluate AI model performance. Data Storage and Processing: Understanding of cloud data storage solutions (e.g., object storage, data lakes) and data processing services. DevOps Practices: Familiarity with DevOps principles and tools More ❯

Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs More ❯

and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas … Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing; probability distributions; sampling techniques; and stochastic processes Core Behaviours Be Customer Focused: Constantly improving our customers' experience Be Human More ❯

are committed to ensuring that new cures are accessible to all patients. The Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data … Advance Model Development: Design, develop, and deploy LLM-based models and algorithms to generate and validate drug repurposing predictions. Innovate: Apply transformers and advanced NLP techniques in the context of biomedical knowledge graphs and clinical data integration. Collaborate: Partner with clinical scientists, business leaders, and fellow data scientists to translate More ❯

to customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms … monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and making tech feel more human. 🔹 A More ❯

to customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms … monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and making tech feel more human. 🔹 A More ❯

technical teams and senior stakeholders, guiding them on the right tools, models, and data approaches. Stay ahead of emerging AI trends (e.g., generative AI, NLP, automated decision-making) and assess their applicability to financial markets and investment strategies. Collaborate with data scientists, engineers, and third-party vendors to ensure solutions … of investment decision-making and risk management. Experience working with or guiding technical teams (data scientists, ML engineers) and understanding key technologies (e.g., Python, NLP, LLMs), even if not building solutions directly. Track record of delivering strategic value through technology innovation, ideally in complex, data-rich environments. The successful candidate More ❯

technical teams and senior stakeholders, guiding them on the right tools, models, and data approaches. Stay ahead of emerging AI trends (e.g., generative AI, NLP, automated decision-making) and assess their applicability to financial markets and investment strategies. Collaborate with data scientists, engineers, and third-party vendors to ensure solutions … of investment decision-making and risk management. Experience working with or guiding technical teams (data scientists, ML engineers) and understanding key technologies (e.g., Python, NLP, LLMs), even if not building solutions directly. Track record of delivering strategic value through technology innovation, ideally in complex, data-rich environments. The successful candidate More ❯

to be able to understand the product and client requirements so as to test the product in extreme scenarios and corner conditions. Knowledge in NLP, LLM, AI, and healthcare will help you understand the product better and in turn write better test cases and documentation. Key Responsibilities Performing best practices … of relevant pipeline and processes. Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. More ❯