7 SpaCy Jobs

managing the cloud infrastructure, using Terraform > Mentoring less experienced engineers Senior ML Learning Engineer the environment: > Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience more »

role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems more »

tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience using Python more »

background in either Python/Typescript Knowledge of natural language processing (NLP) and computer vision techniques for advanced automation and generative AI applications.(e.g SpaCy, NLTK, or Hugging Face). Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Experience scaling an “API-Ecosystem”, designing more »

of the operational service. What you'll need to succeed Significant commercial experience with the following technology: OCR and lexical analysis techniques, including NLP (Spacy) and ML AWS including: CDK, Serverless (Lambda), S3, API Gateway, Cloud Formation, Aurora/Postgres Python/Typescript Cloud monitoring, telemetry, intelligence tools and processes more »

team on a 6-month contract basis. You will have knowledge and experience in the following areas: OCR and lexical analysis techniques including NLP (spacy) and ML. AWS including: CDK Serverless (Lambda) S3 API Gateway Cloud Formation Aurora/Postgres Python/Typescript Stakeholder management Design and implementation of solutions more »

pipeline infrastructure ideally with SQS/similar queueing communication mechanisms Hardcore ETL especially with unstructured text Productionising NLP models such as Hugging Face and spacy Scraping infrastructure and execution Requirements: Bachelor's or Master's degree in Mathematics, Computer Science, Engineering, or a related field. 5 Years+ working as a … data engineer ideally in a senior capacity Strong experience of Python Deep knowledge of NLP such as hugging face and spacy AWS - ETL Processes (Glue, Lambda etc.), ECS, S3, Database Solutions (Redshift, RDS) Vector Databases a big plus Familiar with Graph Data Structure and Algorithms Benefits: Competitive salary and benefits more »