276 to 300 of 560 Natural Language Processing Jobs

Azure, Applying Design Patterns, Agile. Proven experience with Azure cloud services and infrastructure. Demonstrated skillset in prompt engineering for LLM Models, RAG, Langchain and LangGraph. RegEx, Spacy, NLTK, and NLP techniques. Familiarity with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel up to 10%, on average, based on the work you … DevOps practices, CI/CD, and serverless/event-driven architectures. Solid understanding of network protocols, security measures, and backend performance optimization. Hands-on experience with Generative AI, Large Language Models (LLMs), agentic AI applications, and frameworks (LangGraph, AutoGen, Crew AI, Google ADK). Familiarity with agentic protocols (MCP, A2A), multi-agent patterns (RAG, Chain of Thoughts, Agents), and More ❯

Azure, Applying Design Patterns, Agile. Proven experience with Azure cloud services and infrastructure. Demonstrated skillset in prompt engineering for LLM Models, RAG, Langchain and LangGraph. RegEx, Spacy, NLTK, and NLP techniques. Familiarity with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel up to 10%, on average, based on the work you … DevOps practices, CI/CD, and serverless/event-driven architectures. Solid understanding of network protocols, security measures, and backend performance optimization. Hands-on experience with Generative AI, Large Language Models (LLMs), agentic AI applications, and frameworks (LangGraph, AutoGen, Crew AI, Google ADK). Familiarity with agentic protocols (MCP, A2A), multi-agent patterns (RAG, Chain of Thoughts, Agents), and More ❯

Azure, Applying Design Patterns, Agile. Proven experience with Azure cloud services and infrastructure. Demonstrated skillset in prompt engineering for LLM Models, RAG, Langchain and LangGraph. RegEx, Spacy, NLTK, and NLP techniques. Familiarity with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel up to 10%, on average, based on the work you … DevOps practices, CI/CD, and serverless/event-driven architectures. Solid understanding of network protocols, security measures, and backend performance optimization. Hands-on experience with Generative AI, Large Language Models (LLMs), agentic AI applications, and frameworks (LangGraph, AutoGen, Crew AI, Google ADK). Familiarity with agentic protocols (MCP, A2A), multi-agent patterns (RAG, Chain of Thoughts, Agents), and More ❯

Azure, Applying Design Patterns, Agile. Proven experience with Azure cloud services and infrastructure. Demonstrated skillset in prompt engineering for LLM Models, RAG, Langchain and LangGraph. RegEx, Spacy, NLTK, and NLP techniques. Familiarity with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel up to 10%, on average, based on the work you … DevOps practices, CI/CD, and serverless/event-driven architectures. Solid understanding of network protocols, security measures, and backend performance optimization. Hands-on experience with Generative AI, Large Language Models (LLMs), agentic AI applications, and frameworks (LangGraph, AutoGen, Crew AI, Google ADK). Familiarity with agentic protocols (MCP, A2A), multi-agent patterns (RAG, Chain of Thoughts, Agents), and More ❯

Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). More ❯

Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). More ❯

looking AI-focused team, applying advanced analytics and model validation techniques to high-impact surveillance systems. What youll be doing Validate and review trade surveillance models (machine learning, statistical, NLP). Configure and dynamically tune third-party systems for market data changes. Perform benchmarking, backtesting, and stress testing in Python. Assess model documentation, conceptual soundness, and explainability. Evaluate data quality More ❯

in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You will work closely with engineers and technical leads to design experiments, refine prompts, and ensure robust system performance. Responsibilities: Develop and refine test prompts to More ❯

Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, 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 ❯

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 ❯

value. Location: London (3 days onsite) Contract: 6 Months (extension very likely) Rate: £400-450 (IIR35) Start date: ASAP What you'll do: Build and deploy AI models (LLMs, NLP, image recognition, predictive analytics) into business workflows. Prototype privacy-first solutions using techniques such as federated learning, differential privacy, and secure multi-party computation. Implement safeguards across the ML lifecycle More ❯

user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯

user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯

user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯

user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯

user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯

core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and More ❯

core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams, reviewing work, and More ❯

part innovator. Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve More ❯

part innovator. Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve More ❯

part innovator. Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve More ❯

of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯

of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯

part innovator. Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve More ❯

part innovator. Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve More ❯