1 to 25 of 43 Remote/Hybrid Permanent Natural Language Processing Jobs

delivery of new SOTA challenger models Tuning and optimising strategies for incumbent models Design and govern the use of Large Language Models (LLM)-as-judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability) Document model logic, assumptions, limitations and test outcomes … experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience designing evaluation frameworks for LLM use cases ...

robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical … Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required. Understanding model evaluation methods ...

extracting insights from unstructured data for corporate or financial markets. Collaborate cross-functionally with political scientists, data scientists, and backend developers. Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit if: Proven experience developing, refining, and monitoring machine learning models. Substantial … Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree or certification in NLP, ML, or related fields. Familiarity with DevOps practices and tools. Demonstrable impact of technical solutions or projects on decision-making Experience working in fast-paced ...

could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … well as to grow technical research areas of interest to you. You will have strong experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), knowledge graphs and/or graph machine learning and with a vision on how to develop solutions ...

client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Agentic & Gen AI has to offer ...

participants in our courses. Your qualifications: You have successfully completed a university degree (MSc or PhD or equivalent) in the areas of engineering, natural sciences, mathematics, computer science, or a comparable qualification with a technical focus. You have very good programming skills in at least one established high-level … language (e.g., Python, C/C++, Fortran, Julia). You have relevant experience in designing and conducting workshops or tutorials. You can prove experience in coordination and organisation, such as project management or working in a (research) project. You have very good communication skills also towards large audiences ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

skilled team of AI specialists and a managed AI Community of over one million crowd contributors, we empower generative AI (GenAI), computer vision, and natural language processing models. Utilizing proprietary AI-assisted, quality-optimized technology, we ensure efficient data collection, accurate labeling, and precise fine-tuning. … work will be subject to our standard quality assurance checks during the term of this agreement. Basic Requirements Full Professional Proficiency in English & Dutch language Being a resident in Belgium for the last 5 consecutive years and having familiarity with current and historical business, media, sport, news, social media ...

skilled team of AI specialists and a managed AI Community of over one million crowd contributors, we empower generative AI (GenAI), computer vision, and natural language processing models. Utilizing proprietary AI-assisted, quality-optimized technology, we ensure efficient data collection, accurate labeling, and precise fine-tuning. ...

processes (Optional); Understanding of distributed systems Roles & Responsibilities: AI/ML Model DevelopmentDesign, develop, and optimize machine learning and deep learning models Build NLP, computer vision, or predictive analytics solutions Train, test, and evaluate models for accuracy, scalability, and performance Fine-tune pre-trained models (e.g., LLMs, transformers) for business ...

LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication skills able to explain technical concepts to varied audiences Qualifications Bachelor's degree (Master's or PhD preferred) in Computer Science, AI, Data ...

similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience ...

Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology ...

experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration. Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.) Strong coding in Python and experience with ...

experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration. Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.) Strong coding in Python and experience with ...

driven applications. Key Responsibilities Design, develop and deploy AI and Machine Learning solutions into production environments Build and optimise Generative AI applications using Large Language Models (LLMs) Develop Retrieval Augmented Generation (RAG) architectures and AI agents Build speech-to-text, voice AI and accessibility-focused solutions Create intelligent chatbots … experience developing Machine Learning solutions Experience working with Large Language Models (LLMs) Knowledge of Generative AI technologies RAG (Retrieval Augmented Generation) implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn ...

Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. … candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

enabled transformation programmes. Understanding of AI technologies and the broader AI ecosystem, including Generative AI, GPT, Microsoft Copilot, agentic workflows, machine learning, NLP, and intelligent automation. Strong analytical and problem-solving skills, with experience interpreting data, identifying insights, and building recommendations. Familiarity with Agile delivery methodologies, product operating models ...