176 to 200 of 224 Remote Natural Language Processing Jobs

a good match for this role due to high levels of interest. Employment Type: Contract Start: ASAP (October/November 2025) Duration: 6 Months Location: South Yorkshire, UK - Hybrid Language(s): English Focus on SAP is a specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale. Client – Partnered with a global … assessments, evaluating approaches and providing actionable recommendations. Develop and optimise classification algorithms and perform data preparation activities. Work in one or more areas of AI expertise, such as image processing, text extraction, clustering, classification, or embedding models. Implement drift detection and … model monitoring frameworks (experience with AgentEvals for LLMs is a plus). Key Skills: Proven experience in Chatbot Development using: Python, PyCharm, NumPy, Pandas TensorFlow/Deep Learning/NLP frameworks MySQL, PostgreSQL, NoSQL, RDBMS design & data modelling GitHub, Jenkins for CI/CD and version control Strong background in data modelling, wrangling, and extraction Good to Have Hands-on More ❯

a good match for this role due to high levels of interest. Employment Type: Contract Start: ASAP (October/November 2025) Duration: 6 Months Location: South Yorkshire, UK - Hybrid Language(s): English Focus on SAP is a specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale. Client – Partnered with a global … assessments, evaluating approaches and providing actionable recommendations. Develop and optimise classification algorithms and perform data preparation activities. Work in one or more areas of AI expertise, such as image processing, text extraction, clustering, classification, or embedding models. Implement drift detection and … model monitoring frameworks (experience with AgentEvals for LLMs is a plus). Key Skills: Proven experience in Chatbot Development using: Python, PyCharm, NumPy, Pandas TensorFlow/Deep Learning/NLP frameworks MySQL, PostgreSQL, NoSQL, RDBMS design & data modelling GitHub, Jenkins for CI/CD and version control Strong background in data modelling, wrangling, and extraction Good to Have Hands-on More ❯

functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on … industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If More ❯

functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on … industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If More ❯

functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on … industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If More ❯

functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on … industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If More ❯

functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on … industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If More ❯

All candidates should make sure to read the following job description and information carefully before applying. My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. You'll work across the full ML lifecycle—from dataset curation and model development to MLOps, production deployment, and integration of agentic … vector databases, embeddings, and autonomous task orchestration. Experience deploying AI models in production with MLOps best practices. Cloud experience: AWS, GCP, or Azure. Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. Strong problem-solving skills and the ability to translate research into production systems. If you're interested, get in touch ASAP with a copy of More ❯

We are a stealth-mode AI startup founded by a team of PhDs with deep expertise in machine learning, NLP, and reinforcement learning. Backed by advisors from top global research institutions, we've built our MVP and are preparing to launch our first enterprise pilot. We're now looking for a Business Co-Founder to join the founding team and More ❯

experience with deep exposure to AI/Machine Learning domains. Successful track record placing engineers and researchers at elite organisations. Deep understanding of AI subfields including computer vision, robotics, NLP, and applied ML. Strong technical fluency. You can go beyond buzzwords and calibrate for real-world ability. Highly autonomous, detail-oriented, and commercially sharp. Passionate about using AI for real More ❯

entire organization has the right tools and infrastructure for data collection, transformation, storage, and processing. Lead enterprise-wide programs in data deduplication, consolidation, and advanced analytics (e.g., machine learning, NLP).3. Data Quality and Stewardship Monitor and improve data accuracy, completeness, and reliability. Promote data stewardship across departments to ensure accountability.4. Analytics and Insights Enable advanced analytics, AI, and machine More ❯

AI Engineer - Remote London - £120,000 £160,000 + bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. You ll work across the full ML lifecycle from dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into … of RAG, vector databases, embeddings, and autonomous task orchestration. Experience deploying AI models in production with MLOps best practices. AWS, GCP, or Azure. Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. If you re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at m.Please More ❯

closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll … and credibility will be key. Skills And Experience Required 1+ years of focused LLM/GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

testing and regression testing to ensure quality and stability. Preferred : Experience working with Azure DevOps, Azure App Services, and Azure Functions. Preferred : Experience with fine-tuning and pre-training language models and embedding models. Preferred: Experience architecting large-scale ML systems integrated with enterprise healthcare data sources (EHRs, clinical workflows, APIs). Preferred: Experience designing and maintaining evaluation frameworks … production-ready code, troubleshooting and bug fixing Strong proficiency in LangChain, vectorDB and cloud platforms (Azure) Experience with MLOps, monitoring, and CI/CD Experience with transformer-based models, NLP, LLM models, preferably for biomedical/healthcare applications Strong interest in healthcare, with preferred experience working with healthcare data Ability to work independently and collaboratively, manage priorities, and deliver high More ❯

ideas and show results Your contributions will be crucial for creating cutting-edge products and carrying out advanced research and development withinOliver Wyman. Notable DNA projects include: Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information Exploring novel GenAI architectures and validation methods for customer-facing tools in the … colleagues Familiarity with analytical methods in Python, R, or equivalent tools Strong commitment to teamwork and resilience in a creative and constantly changing environment Excellent command of the English language (verbal and written) You are aged 18 or over at the start of the placement You have the right to work in the UK Interest or experience in financial More ❯

industry-leading state-of-the-art AI/ML solutions. You will guide your team through all aspects of the AI/ML feature life cycle, leveraging expertise in NLP and document understanding. You will be responsible for overseeing the development and deployment of production-level machine learning models that deliver more personalized and automated customer experiences throughout the Docusign … methods and technologies that can be effectively applied to the contract domain Guide the team in applying the latest architectures and technologies to build Docusign IP and solve complex NLP challenges including, but not limited to, generating representations, text understanding, semantic retrieval, contextual extractions, and summarization Foster a deep understanding within the team of the technologies, methods, and architecture within … large scale document understanding models in production Experience with pre-training and/or supervised fine-tuning of transformer-based models using large-scale datasets Experience in the latest NLP techniques including LLMs and language representations Experience in text extraction techniques, especially using OCR and direct extraction from docx, images, and pdfs Strong desire to stay ahead of industry More ❯

and regulatory constraints. Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Neural Networks , NLP , United Kingdom More ❯