326 to 350 of 410 Remote Natural Language Processing Jobs

Excel or Google Sheets (including formulas). Experience leading or mentoring teams in test automation initiatives. Nice to Have: Exposure to security testing or red-teaming, especially related to NLP or AI systems. Additional Information More ❯

Excel or Google Sheets (including formulas). Experience leading or mentoring teams in test automation initiatives. Nice to Have: Exposure to security testing or red-teaming, especially related to NLP or AI systems. Additional Information More ❯

Excel or Google Sheets (including formulas). Experience leading or mentoring teams in test automation initiatives. Nice to Have: Exposure to security testing or red-teaming, especially related to NLP or AI systems. Additional Information More ❯

Excel or Google Sheets (including formulas). Experience leading or mentoring teams in test automation initiatives. Nice to Have: Exposure to security testing or red-teaming, especially related to NLP or AI systems. Additional Information More ❯

Excel or Google Sheets (including formulas). Experience leading or mentoring teams in test automation initiatives. Nice to Have: Exposure to security testing or red-teaming, especially related to NLP or AI systems. Additional Information More ❯

Excel or Google Sheets (including formulas). Experience leading or mentoring teams in test automation initiatives. Nice to Have: Exposure to security testing or red-teaming, especially related to NLP or AI systems. Additional Information 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 ❯

push the boundaries of spatial analytics Collaborate with product, data, and engineering teams Mentor peers and bring cutting-edge ML to life in production What You Bring: 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 ❯

clients. You’ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have: 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 ❯

TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a bias for action and a passion for building world-class products. ? Bonus Points Extensive experience More ❯

TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a bias for action and a passion for building world-class products. ? Bonus Points Extensive experience More ❯

structures for describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global More ❯

model reliability, ensuring that all stages of the model lifecycle deliver measurable value in real-world applications. Requirements : 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). Demonstrated experience in designing and evaluating AI More ❯

within a SaaS or software product company. Hands-on experience with chatbot development platforms (e.g., Dialogflow, Microsoft Bot Framework, IBM Watson, Amazon Lex). Solid understanding of chatbot testing, NLP/NLU concepts, and conversation design best practices. Prior experience working with test automation frameworks and CI/CD practices, especially in the context of voice and digital channels. Familiarity More ❯

neural networks, software development, and natural language processing. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Experience in AI algorithm development Strong analytical and problem-solving abilities Bachelor's or Master's degree in Computer Science or related field More ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We … following (full training will be provided to fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow More ❯

proof-of-concept to beta-product phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP), specifically in compensating for Large Language Model limitations. You will also have the opportunity to innovate and contribute to algorithm development. Dr G.A.McHale, Technical Director, AI & Data Science About … in electronics or communications hardware would be of additional benefit. Some exposure to writing and filing patents would also be greatly appreciated. An ideal candidate would have experience in NLP outside of LLMs, but this is not a mandatory requirement. You will be expected to be highly motivated and learn the appropriate skill-sets where you are lacking. Contract type … proof-of-concept to beta-product phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP), specifically in compensating for Large Language Model limitations. You will also have the opportunity to innovate and contribute to algorithm development. Dr G.A.McHale, Technical Director, AI & Data Science About More ❯

proof-of-concept to beta-product phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP), specifically in compensating for Large Language Model limitations. You will also have the opportunity to innovate and contribute to algorithm development. Dr G.A.McHale, Technical Director, AI & Data Science About … the Team The team is led by someone with significant AI experience in bio-inspired architectures, reinforcement learning, expert systems, scheduling, meta-heuristics, robotics, and natural language processing (including LLMs). We have recruited an experienced scientific computing developer with a strong mathematics background in theoretical physics, responsible for distributed systems and GPU optimisation of AI algorithms. … by competence in other languages (e.g., C++ or Java). Experience in electronics or communications hardware is a plus. Experience in writing and filing patents is appreciated. Experience in NLP outside of LLMs is desirable but not mandatory. You should be highly motivated and willing to learn new skills as needed. Contract type Regular Worker type Employee What We Offer More ❯

management. Strong understanding of linguistics annotation, language resources and semantic metadata. Detail-oriented mindset, with a proactive approach to error detection and quality assurance. Familiarity with LLMs and NLP pipelines (entity linking, topic modeling, text classification, sentiment analysis, etc) Familiarity with data querying and manipulation (SQL, Python, etc) Must Have Data Annotation Data querying and manipulation Familiarity with LLMs … Natural Language Processing (NLP) Ontology Development Taxonomy Management Soft Skills Strong organizational skills and ability to manage both individual and shared responsibilities with autonomy. Excellent communication and documentation abilities to cross-functional collaboration. Team player with a collaborative spirit and the ability to coordinate across multidisciplinary teams. Problem-solving attitude and willingness to iterate and refine existing More ❯

management. Strong understanding of linguistics annotation, language resources and semantic metadata. Detail-oriented mindset, with a proactive approach to error detection and quality assurance. Familiarity with LLMs and NLP pipelines (entity linking, topic modeling, text classification, sentiment analysis, etc) Familiarity with data querying and manipulation (SQL, Python, etc) Must Have Data Annotation Data querying and manipulation Familiarity with LLMs … Natural Language Processing (NLP) Ontology Development Taxonomy Management Soft Skills Strong organizational skills and ability to manage both individual and shared responsibilities with autonomy. Excellent communication and documentation abilities to cross-functional collaboration. Team player with a collaborative spirit and the ability to coordinate across multidisciplinary teams. Problem-solving attitude and willingness to iterate and refine existing More ❯

including use of Miro Stakeholder mapping and liaison Understanding (not necessarily technical expertise) of data science techniques such as coding, data visualisation, statistics/machine learning, and/or natural language processing Please apply if you meet the above criteria. To speak to a recruitment expert, please contact us. Note: If you are not a passport holder More ❯

experience with AWS data and analytics services (or equivalent open-source technologies). Expertise in designing and building data lakes, data warehouses, and ETL pipelines. Strong understanding of data processing techniques, including stream and batch processing. Familiarity with data mining, machine learning, and natural language processing is a plus. Ability to travel to client sites when More ❯

environment. You'll explore ideas, write code, and ship it often within days, not weeks. Work with LLMs Use tools like OpenAI, LangChain, and other emerging frameworks to build natural language interfaces. Direct LLM experience is a bonus, but curiosity and self-motivation in this space are even more important. Thrive in Ambiguity You'll work in a … What We’re Looking For 3+ years of experience in full-stack engineering Proficiency with TypeScript, React, Next.js, and Python Experience (or strong interest) in LLMs, AI agents, or NLP Side projects, open-source contributions, or personal AI experiments are a big plus Startup experience or comfort in fast-paced environments A passion for building whether it’s features, tools More ❯

qualification experience (PQE) or equivalent legal experience. Strong legal research and writing skills. A collaborative mindset and ability to work in agile environments. Interest in AI, machine learning, or natural language processing (prior experience is a plus, not a requirement). Proficiency in tools like Excel and PowerPoint. Work in a way that works for you We More ❯