326 to 350 of 418 Remote Natural Language Processing Jobs

optimising, and deploying machine learning (ML) models, and enjoys working with large datasets and cutting-edge technologies. You’ll be responsible for: Building and optimising machine learning models using NLP and graph vector DBs Leveraging big data efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful … build robust, scalable solutions About You: You have experience as a Data Scientist, preferably at a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can build solutions and make things happen More ❯

Learning £75000 - 85000 GBP 10% bonus Hybrid WORKING Location: United Kingdom (East of England) Type: Permanent Lead Technologist - AI & Machine Learning AI R&D | Defence, Security & Autonomy | Reinforcement Learning, NLP, Graph ML, Remote Sensing Exceptional opportunity for an AI/ML expert to lead complex, applied research projects in one of the UK's most advanced and mission-critical AI … Proven track record leading teams of 5+ developers/researchers Strong experience in engineering assurance and technical governance Expert knowledge in at least one of the following: Reinforcement learning NLP & LLM applications AI for radar, RF, EW, sonar or acoustics Remote sensing and computer vision Graph-based neural networks and knowledge graphs Autonomous systems Experience writing successful research proposals in More ❯

make a real difference. Optimising & improving performance – Test, refine, and scale AI models to keep everything running smoothly. Research & innovation – Stay ahead of AI trends, explore new models (LLMs, NLP, etc.), and bring fresh ideas to the table. Collaboration & strategy – Work with developers, product managers, and stakeholders to ensure AI solutions align with business goals. Communication & leadership – Break down complex 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 ❯

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 ❯