26 to 50 of 79 SpaCy Jobs

Full-time Cost Center Hierarchy: Technology CKO Department: Technology Company Description Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the More ❯

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving More ❯

data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing Demonstrated experience in Agile software development teams using scrum techniques Demonstrated experience using Jira, Confluence, and GitHub for documenting work More ❯

in data science , with a focus on NLP , Generative AI and LLMs . Proficiency in Python and experience working with transformer based LLMs and NLP frameworks (e.g. Hugging Face, Spacy, Pytorch/Tensorflow etc ). Knowledge of Prompt Engineering , RAG techniques and various evaluation methodologies for integrating GenAI with search/retrieval systems and measure the quality . Experience working More ❯

years of experience in data science, with a focus on NLP, Generative AI and LLMs. Proficiency in Python and experience working with LLMs and NLP frameworks (e.g. Hugging Face, Spacy, Pytorch/Tensorflow etc). Experience with Prompt Engineering, RAG techniques and various evaluation methodologies for integrating GenAI with search/retrieval systems and measure the quality. Experience with LangChain More ❯

Machine learning experience : Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Natural Language Processing (NLP) : Experience with NLP techniques and tools, such as spaCy or NLTK. Distributed systems : Knowledge of distributed systems and experience with tools like Kubernetes or Docker. Cloud services : Experience with cloud platforms like AWS, GCP, or Azure. Open source contributions More ❯

relationships with cross-functional teams. 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 from an ML standpoint (AWS More ❯

lead with systems-level experience 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, or GCP Vertex AI) for More ❯

relationships with cross-functional teams. 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 useful (kubectl, helm, etc.) Cloud More ❯

integrate and deploy Machine Learning 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 familiarity in AWS or Azure More ❯

Employment Type: Permanent Private healthcare and dental insurance 25 days annual leave plus bank holidays Pension scheme with up to 8% employer contribution £2,000 annual learning and development budget Season ticket loan Annual performance-based bonus About the Role More ❯

AI and Agent-based AI 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 looking for a new contract More ❯

AI and Agent-based AI 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 to start ASAP, please send More ❯

Python programming skills with a 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 management. Familiarity with Microsoft Azure More ❯

Python programming skills with a 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 management. Familiarity with Microsoft Azure More ❯

Generative AI and open-source models. Proven Python development experience, with a focus on ML, NLP, image processing, and OCR. Familiarity with frameworks such as TensorFlow , PyTorch , Hugging Face , SpaCy , OpenCV , and Regex . Proven ability to deploy secure, production-grade code and APIs while ensuring cybersecurity and application resilience. Nice to Have: Experience with PostgreSQL . Knowledge of Azure More ❯

part of enterprise technology stacks. DataOps/MLOps experience would be valued. Strong Python programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and BERT. Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages and tools would be beneficial. More ❯

learning culture within the team. Qualifications Experience managing data pipelines and leading a data science team. Proficiency in Python and experience with LLMs and NLP frameworks (e.g., Hugging Face, Spacy, Pytorch/Tensorflow). Knowledge of Prompt Engineering, RAG techniques, and evaluation methodologies for integrating GenAI with search/retrieval systems. Experience with LangChain/LlamaIndex, vector databases (e.g., FAISS More ❯

effectively to clients and internal teams. Technical Skills: Proficiency with open-source tools and technologies. Languages & Libraries: Python, R, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels. NLP & ML Frameworks: spaCy, Hugging Face Transformers, TensorFlow or PyTorch (as applicable). Visualization tools: Plotly, Seaborn, Matplotlib, Dash, Streamlit. Preferred Qualifications: Fluency in French or German is a strong advantage for future client More ❯

and improve the performance of NLP models. Build custom language models tailored to specific industry requirements. What Were Looking For: Proven experience with NLP frameworks such as Hugging Face, spaCy, or TensorFlow. Hands-on experience working with Large Language Models (LLMs) and deploying them in production. Advanced Python skills, with the ability to develop and optimise machine learning pipelines. Experience More ❯

Who You Are: 5+ years of experience in machine learning, data architecture, or NLP systems Proven experience with: Knowledge graphs or property graphs (Neo4j, RDF, or similar) NLP tools: spaCy, Hugging Face, Transformers, or LLM pipelines ML pipelines: feature engineering, model updating, retraining loops Risk scoring or rule-based decision systems (bonus if AML/FinCrime) Strong Python skills and More ❯

NumPy, Scikit-learn and Matplotlib) for data manipulation, analysis, and visualisation Familiarity with advanced data science techniques, including machine learning (e.g., K-means), natural language processing (e.g., NLTK or spaCy), and data acquisition techniques (e.g., Selenium) is advantageous. Proficiency in producing detailed project documentation, including specifications, test plans, data quality checks, and validation procedures Experience of managing projects that involve More ❯

development opportunities Direct impact on product development and user experience Must Haves Ability to work on site 5x a week in Charlotte, NC 3+ years' experience with NLP frameworks (spaCy, Transformers, NLTK) Proficiency in Python and ML libraries (scikit-learn, PyTorch/TensorFlow) Experience with intent classification, named entity recognition, and text parsing Understanding of optimization algorithms and constraint satisfaction More ❯

fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts More ❯

fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts More ❯