1 to 25 of 95 Remote SpaCy Jobs

for multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly More ❯

for multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly More ❯

embedding, Vector database technologies and Semantic Search techniques & tools. Proficiency in programming languages such as Python and experience with NLP libraries such as NLTK, spaCy, Transformers, Hugging Face, BERT and Gen AI frameworks like Llangchain. Llamaindex etc. Strong problem-solving skills and ability to handle complex NLP challenges. Excellent communication More ❯

trends and advancements. Required Skills and Experience : Proficiency in Python and familiarity with libraries and frameworks such as PyTorch , TensorFlow , Keras , Hugging Face , Replicate , SpaCy , NLTK , Pandas , NumPy , Django , FastAPI , TensorBoard , Visdom , and CV2 . Experience with cloud platforms like GCP , FloydHub , and AWS . Familiarity with version control systems More ❯

Python or another high-level language commonly used in machine learning. Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn). Experience with information retrieval techniques and structured data extraction from unstructured sources. Hands-on experience with LLM APIs for pre-processing More ❯

live and work in the UK Your Core Responsibilities Build and improve AI/NLP models for things like summarisation, or recommendations using Python (spaCy, NLTK, etc.). Collaborate with Engineers, Product and CS to figure out how AI features can solve actual customer problems. Evaluate models & iterate using precision More ❯

Ability to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform experience, especially More ❯

Proven track record of delivering AI solutions for complex scientific problems Experience with machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, spaCY), and data processing techniques. Demonstrated experience in developing and deploying machine learning models in production environments. Experience with AI Cloud Platforms (AWS SageMaker, Azure ML More ❯

Ability to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Some basic devops experience More ❯

capabilities and techniques into other systems. Are familiar with the Python data science stack through exposure to libraries such as Numpy , Scipy , Pandas, Dask , spaCy , NLTK, scikit-learn. Take pride in writing clean, reusable, maintainable and well-tested code. Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with More ❯

systems. Proficiency in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Extensive experience with NLP techniques and libraries (e.g., NLTK, spaCy, Gensim, Transformers). Experience with version control systems (Git) Experience with AWS. Knowledge of MLOps practices and tools. If you have the above experience and More ❯

systems. Proficiency in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Extensive experience with NLP techniques and libraries (e.g., NLTK, spaCy, Gensim, Transformers). Experience with version control systems (Git) Experience with AWS. Knowledge of MLOps practices and tools. If you have the above experience and More ❯

systems. Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, PyTorch. Extensive experience with NLP techniques and libraries like NLTK, spaCy, Gensim, Transformers. Experience with version control systems (Git) and AWS. Knowledge of MLOps practices and tools. If you meet the above criteria and are available More ❯

focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and More ❯

focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and More ❯

focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and More ❯

focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and More ❯

ecosystems Ability to understand, apply, and deploy machine learning capabilities and techniques Experience with Python data science libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn Commitment to writing clean, reusable, maintainable, and well-tested code Desire to learn and embrace new and emerging technologies Understanding of probabilistic More ❯

policy. Requirements: Must have: 3+ years of experience as a Data Scientist in a commercial setting. Proficiency in Python, especially with NLP packages like SpaCy and TensorFlow. Experience with MLOps, AWS, and model deployment and monitoring. Strong analytical, problem-solving, and exploratory skills. Experience working directly with clients and presenting More ❯

Requirements: Must have: 3+ years experience as a Data Scientist in a commercial setting Extensive Python experience with text analysis and ML packages like Spacy and TensorFlow Familiarity with MLOps and AWS Strong problem-solving and analytical skills Experience working directly with clients Excellent communication and stakeholder management skills Experience More ❯

experience as a Data Scientist in a commercial setting Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow Familiarity with MLOps and experience using AWS to develop, deploy and monitor models A scientific mindset with strong problem-solving, data analytical, and More ❯

experience as a Data Scientist in a commercial setting Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow Familiarity with MLOps and experience using AWS to develop, deploy and monitor models A scientific mindset with strong problem-solving, data analytical, and More ❯

experience as a Data Scientist in a commercial setting Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow Familiarity with MLOps and experience using AWS to develop, deploy and monitor models A scientific mindset with strong problem-solving, data analytical, and More ❯

experience as a Data Scientist in a commercial setting Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow Familiarity with MLOps and experience using AWS to develop, deploy and monitor models A scientific mindset with strong problem-solving, data analytical, and More ❯

experience as a Data Scientist in a commercial setting Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow Familiarity with MLOps and experience using AWS to develop, deploy and monitor models A scientific mindset with strong problem-solving, data analytical, and More ❯