301 to 325 of 787 Natural Language Processing Jobs in London

Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and RAG pipelines NLP Fundamentals : Text preprocessing, language modelling, and semantic similarity Cloud Experience : AWS ecosystem knowledge (SageMaker, Lambda, etc.) Production Ready : ETL pipelines, version control, Agile methodologies It would be a major More ❯

clinical studies. Equitable Access: We 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 engineers, clinical scientists, tech translators … you'll make an impact - 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 research challenges into scalable data More ❯

data structures, algorithms, data modelling, 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: Acting with humanity and care Be Curious: Thrive on learning, thinking beyond the obvious Be More ❯

with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition). Machine Learning Operations design, including: Previous successful experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and More ❯

metrics. Your Mission: Do More With Less You'll be instrumental in: Strategic Data Leadership: Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development: Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture: Build scalable systems that efficiently process our extensive review and merchant data … features and new products. What You'll Bring Must-Haves: 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working More ❯

/QA Engineer, you need 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 and software testing standards, defect …/CD and the setup 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. Perks and Benefits Salary dependent More ❯

engineering and data science team, which we’d like to expand with a full-time Python Developer. EntityX's technology uses a range of in-house and 3rd party NLP and AI techniques to merge all of the curated knowledge within Wikipedia with billions of daily data points about consumer media content consumption, to generate a deep understanding of consumers … ability to work effectively in a collaborative, fast-paced environment. Experience with Go or a willingness to learn it. Experience deploying and managing services in Kubernetes. Knowledge of LLMs, NLP, embeddings, and AI-driven technologies. Contributions to open-source projects or personal projects showcasing technical expertise. Experience working in a startup or small-team environment where adaptability is key. Understanding More ❯

our last resort, not our first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our extensive review and merchant data … based on merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working More ❯

OpenGL (for 3D Graphics) Educational Requirements: Bachelor’s Degree in Computer Science, Information Technology, Mathematics, Statistics, or equivalent Experience in Java and Python programming How to apply: Please mention NLP People as a source when applying. Application Link Tagged as: Big Data , Clustering , Data Mining , Industry , Machine Learning , United Kingdom #J-18808-Ljbffr More ❯

Proven experience in AI, specifically Large Model (LLM). Proven experience with AWS, Python, SQL, and statistical modelling; skilled in integrating LLMs into cloud-based pipelines. Ability to apply NLP and data science techniques to real-world academic and sustainability data sets. Demonstrates rigorous attention to detail, especially in prompt engineering and evaluation of semantic outputs. Experience with Machine Learning 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 ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory. Seniority level Mid-Senior level More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

skills in segmentation, recommendation, campaign optimisation, forecasting, etc. Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch. Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision. Solid understanding of experimentation methods including A/B testing. Strong communication skills and ability to translate complex analyses into actionable insights. Nice-to More ❯

data access across organizations AI & Machine Learning Integration •Identify AI/ML opportunities to automate processes and enhance decision-making •Advise on implementation of intelligent automation solutions using RPA, NLP, and computer vision Change Management •Develop and execute change management plans to ensure smooth adoption of new processes and systems •Conduct training programs and workshops for employees at all organizational More ❯

data access across organizations AI & Machine Learning Integration • Identify AI/ML opportunities to automate processes and enhance decision-making • Advise on implementation of intelligent automation solutions using RPA, NLP, and computer vision Change Management • Develop and execute change management plans to ensure smooth adoption of new processes and systems • Conduct training programs and workshops for employees at all organizational More ❯

related field. Eagerness to learn, grow, and work as part of a collaborative technical team. Good communication and problem-solving skills. Nice to Have: Some experience with projects involving NLP, chatbots, or log analysis. Exposure to basic DevOps tools like Git, Docker, or CI/CD pipelines. Awareness of identity systems like Entra ID, Okta, or similar (not required-training More ❯

statistics A solid grasp of 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 needed as a fundamental skill More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

that improve our users’ financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team’s successes at the company level & beyond. Mentoring & advising colleagues on their choices of models More ❯

risk management, or business continuity within financial services or regulated environments. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, NLP, and AI algorithms. Knowledge of model lifecycle management: training, validation, deployment, and monitoring. Ability to assess and mitigate risks like model drift, bias, and explainability issues. Familiarity with resilience frameworks More ❯

AI & Machine Learning Development: Work directly on our proprietary Render platform, contributing to the AI algorithms that allow us to outperform the market in loan performance (e.g, pricing optimisation, NLP for transaction classification, risk scoring) Open Banking Integration: Build and enhance real-time financial data analysis systems that process millions of transactions to assess creditworthiness Data Engineering: Design and implement More ❯