276 to 300 of 413 Remote Natural Language Processing Jobs

collaboration and experimentation. Collaborate cross-functionally - partner with customers, product, and regulatory teams to translate research into safe, user-centric features. Qualifications Degree or equivalent experience in Machine Learning, NLP, Computational Linguistics, or a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP More ❯

collaboration and experimentation. Collaborate cross-functionally - partner with customers, product, and regulatory teams to translate research into safe, user-centric features. Qualifications Degree or equivalent experience in Machine Learning, NLP, Computational Linguistics, or a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP More ❯

teams Mentor peers and bring cutting-edge ML to life in production What You Bring: Strong Python + ML/LLM stack (Transformers, LangChain, RAG, vector DBs) Experience with NLP, embeddings, and cloud tools (AWS preferred) Ability to solve complex problems and ship real impact Passion for AI, autonomy, and collaborative innovation Bonus: 3D, GIS, or game engine (Unity/ More ❯

production. Integrate AI features into existing products with the latest machine learning advancements. Requirements include strong programming skills in Python, C, C++, experience with deployment platforms, and familiarity with NLP, computer vision, TensorFlow, PyTorch, JAX, CUDA, LLMs, and related technologies. A degree in a relevant field and a solid AI R&D track record are essential. More ❯

be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel More ❯

be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel More ❯

with cloud platforms (AWS/Azure) is a plus. Exposure to Docker/Kubernetes is advantageous. Understanding of API integration and security fundamentals. Experience or interest in OCR and NLP is beneficial. Knowledge of version control (e.g., Git). Education & Experience: Degree in computer science, software engineering, or a related discipline – or relevant practical experience. Some practical experience with full More ❯

with cloud platforms (AWS/Azure) is a plus. Exposure to Docker/Kubernetes is advantageous. Understanding of API integration and security fundamentals. Experience or interest in OCR and NLP is beneficial. Knowledge of version control (e.g., Git). Education & Experience: Degree in computer science, software engineering, or a related discipline – or relevant practical experience. Some practical experience with full More ❯

AI/ML and apply relevant research to product needs. Skills & Experience: 5+ years of experience building and deploying AI/ML systems in production. Strong background in LLMs, NLP, and conversational AI (e.g., GPT, Claude, Mistral, LLaMA, etc.) Expertise with frameworks like LangChain, Hugging Face, OpenAI, RAG pipelines, and vector databases (e.g., Weaviate, Pinecone, Chroma) Solid knowledge of AI More ❯

computational performance. Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A conferences). Hands-on experience contributing to large-scale More ❯

Research Scientist - Knowledge & Semantics £60000 - 70000 GBP 10% bonus Hybrid WORKING Location: United Kingdom (East of England) Type: Permanent Research Scientist - Knowledge & Semantics AI Research | NLP, Knowledge Graphs, Graph ML, LLMs | National Security & Defence | Hybrid UK Fantastic opportunity for a curious and motivated researcher to join a leading-edge AI team delivering applied research across national security, defence, and public … sector innovation programmes. You'll be part of a highly collaborative R&D environment, working alongside specialists in natural language processing (NLP), graph machine learning, and large language models (LLMs). This is an ideal role for someone with a strong academic background who's keen to develop impactful, real-world AI solutions. What's on … Ongoing support for personal development and skill-building What you'll bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML More ❯

for machine learning projects with experience in CI/CD tools (e.g., Jenkins) Proficiency in automation tools for streamlining ML operation Experience in Natural Language Processing (NLP) and Computer Vision (CV), workflows and metrics Hands-on experience in model validation, testing, and deployment to production Strong verbal and written communication skills in English Responsibilities: As a (Senior … requires a proactive individual with a strong foundation in MLOps practices, cloud platforms, and automation tools. Prepare and analyze datasets to support machine learning model development and training Assess natural language processing and computer vision models using relevant KPIs and metrics Validate models to ensure they meet performance standards and align with project requirements Deploy machine learning More ❯

/week) Grade & Salary : circa £70,000 + 10% bonus Hours: 37 per week Role Overview We are seeking a Research Scientist to lead applied R&D in semantics, natural language processing, and knowledge graph technologies. This role sits within a cutting-edge AI team supporting national security, defence, and commercial clients. You will design and prototype … systems, contribute to proposal development, and lead small technical teams in delivering impactful innovation. Key Requirements PhD with a minimum of 4 years' postdoctoral or commercial experience Expertise in NLP, LLMs, graph machine learning, or semantic reasoning Proficient in Python and familiar with frameworks such as TensorFlow or PyTorch Experience leading technical teams and securing external R&D funding Benefits More ❯

type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago job requisition id JREQ187575 Lead Applied Scientist, IR/NLP Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in London s seeking scientists with a passion for solving problems using … We drive AI innovation for Thomson Reuters' Core Research Products, including Westlaw , Practical Law , and Checkpoint . About the Role Lead Applied Scientists are experts in Machine Learning/NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize … Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 7+ years hands-on experience building IR/NLP systems for commercial applications Experience writing production code and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI applications Professional experience scaling yourself and leading through More ❯

Lead Applied Scientist, IR/NLP Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in London s seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What does Thomson Reuters Labs do? We experiment, we … We drive AI innovation for Thomson Reuters' Core Research Products, including Westlaw , Practical Law , and Checkpoint . About the Role Lead Applied Scientists are experts in Machine Learning/NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize … Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 7+ years hands-on experience building IR/NLP systems for commercial applications Experience writing production code and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI applications Professional experience scaling yourself and leading through More ❯

range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language models), knowledge graphs and graph neural networks, as well as AI solutions for radio frequency, electronic warfare, radar, sonar, acoustics, image … e.g., Dstl, National Security, EPSRC). Desired Technical Expertise (one or more of the following): AI/ML for imagery analysis, including applications in remote sensing. Reinforcement learning techniques. Natural Language Processing and Large Language Models. Knowledge graphs and graph-based neural networks. AI/ML for RF and EW, radar, sonar, and acoustics. Autonomy and More ❯

range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language models), knowledge graphs and graph neural networks, as well as AI solutions for radio frequency, electronic warfare, radar, sonar, acoustics, image … e.g., Dstl, National Security, EPSRC). Desired Technical Expertise (one or more of the following): AI/ML for imagery analysis, including applications in remote sensing. Reinforcement learning techniques. Natural Language Processing and Large Language Models. Knowledge graphs and graph-based neural networks. AI/ML for RF and EW, radar, sonar, and acoustics. Autonomy and More ❯

range of Artificial Intelligence (AI) and Machine Learning (ML) domains, with applications spanning defence, security, space, and commercial sectors. The capability's work covers areas such as reinforcement learning, natural language processing (including large language models), knowledge graphs and graph neural networks, as well as AI solutions for radio frequency, electronic warfare, radar, sonar, acoustics, image … e.g., Dstl, National Security, EPSRC). Desired Technical Expertise (one or more of the following): AI/ML for imagery analysis, including applications in remote sensing. Reinforcement learning techniques. Natural Language Processing and Large Language Models. Knowledge graphs and graph-based neural networks. AI/ML for RF and EW, radar, sonar, and acoustics. Autonomy and More ❯

Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We More ❯

Description Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

thriving workplace culture. Senior AWS Cloud Consultant Responsibilities: Building horizon scanning applications, providing novel data analytics for the whole of science and technology with graph databases, big datasets and natural language processing in AWS. Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure. Helping an energy customer to … maintain critical infrastructure by developing a data processing application, database and API to store 40 years of inspections data and enable data analytics and condition monitoring on this using ASP.NET, Entity Framework, Postgres and C#. Senior AWS Cloud Consultant Skills: Significant experience leading the design and deployment of complex cloud solutions to AWS AWS Security Suite At least … Object-Oriented Language (Python or C# ideally) Experience with containerisation of applications An ability to discuss and present complex topics in an understandable way Consultancy skills in stakeholder management, business development and requirements elicitation Excellent interpersonal skills to enable internal and external network development It is to your advantage if you meet any of the following additional requirements: Certifications More ❯

thriving workplace culture. Senior AWS Cloud Consultant Responsibilities: Building horizon scanning applications, providing novel data analytics for the whole of science and technology with graph databases, big datasets and natural language processing in AWS. Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure. Helping an energy customer to … maintain critical infrastructure by developing a data processing application, database and API to store 40 years of inspections data and enable data analytics and condition monitoring on this using ASP.NET, Entity Framework, Postgres and C#. Senior AWS Cloud Consultant Skills: Significant experience leading the design and deployment of complex cloud solutions to AWS AWS Security Suite At least … Object-Oriented Language (Python or C# ideally) Experience with containerisation of applications An ability to discuss and present complex topics in an understandable way Consultancy skills in stakeholder management, business development and requirements elicitation Excellent interpersonal skills to enable internal and external network development It is to your advantage if you meet any of the following additional requirements: Certifications More ❯

thriving workplace culture. Senior AWS Cloud Consultant Responsibilities: Building horizon scanning applications, providing novel data analytics for the whole of science and technology with graph databases, big datasets and natural language processing in AWS. Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure. Helping an energy customer to … maintain critical infrastructure by developing a data processing application, database and API to store 40 years of inspections data and enable data analytics and condition monitoring on this using ASP.NET, Entity Framework, Postgres and C#. Senior AWS Cloud Consultant Skills: Significant experience leading the design and deployment of complex cloud solutions to AWS AWS Security Suite At least … Object-Oriented Language (Python or C# ideally) Experience with containerisation of applications An ability to discuss and present complex topics in an understandable way Consultancy skills in stakeholder management, business development and requirements elicitation Excellent interpersonal skills to enable internal and external network development It is to your advantage if you meet any of the following additional requirements: Certifications More ❯

thriving workplace culture. Senior AWS Cloud Consultant Responsibilities: Building horizon scanning applications, providing novel data analytics for the whole of science and technology with graph databases, big datasets and natural language processing in AWS. Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure. Helping an energy customer to … maintain critical infrastructure by developing a data processing application, database and API to store 40 years of inspections data and enable data analytics and condition monitoring on this using ASP.NET, Entity Framework, Postgres and C#. Senior AWS Cloud Consultant Skills: Significant experience leading the design and deployment of complex cloud solutions to AWS AWS Security Suite At least … Object-Oriented Language (Python or C# ideally) Experience with containerisation of applications An ability to discuss and present complex topics in an understandable way Consultancy skills in stakeholder management, business development and requirements elicitation Excellent interpersonal skills to enable internal and external network development It is to your advantage if you meet any of the following additional requirements: Certifications More ❯

the power of machine learning for their customers and operations. We are building a wide range of Machine Learning algorithms; domain-specific Recommendation engines, human behavior predictive models and Natural Language Processing model. We are seeking an experienced Product Account Manager - to manage the daily and long term marketing & CRM strategy for our Managed Marketing Services (MMS … processes to ensure seamless collaboration and efficiency. Strong "get things done the right way" work ethic. Eagerness to learn new tools and processes. Fluency in English and an additional language essential. OUR OFFER You'll be surrounded by enthusiastic sports betting and igaming industry experts, this is a chance to turn your passion into a career. Platform to gain More ❯