10 of 10 SpaCy Jobs in England

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 ❯

models for business outcomes. Experience deploying Python-based solutions in machine learning, deep learning, NLP, generative AI, image processing, and OCR. Familiarity with frameworks like TensorFlow, Pytorch, Hugging Face, Spacy, OpenCV, Regex, or equivalents. Experience in delivering secure, resilient code to production, emphasizing cybersecurity. Desirable Skills/Experience Additional skills that are a plus include: Experience with PostgreSQL for data 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 ❯

focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Preferred Experience: Experience using PostgreSQL for data storage and management. 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 ❯

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 ❯

image processing and OCR all additional positives. Minimum 2-3 years practical (not theoretical) experience in Machine Learning Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. More ❯

work on an automation project. Our client are seeking experienced software engineers to lead the development of document automation services. You'll work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML … Ensure code quality, testing, observability, and non-functional compliance (security, UX, performance) Coach team members and contribute to Agile delivery practices Essential Skills Strong commercial experience with Python, TypeScript, SpaCy, and AWS (serverless) Background in OCR, NLP, and scalable automation architectures Solid understanding of Agile, DevOps, and XP practices Comfortable with stakeholder engagement and cross-functional collaboration AWS Textract, MLOps More ❯

such as ACL/NIPS/EMNLP/NACL. Strong programming skills - e.g. Python, C++. Experience with Deep Learning/NLP/Machine Learning frameworks such as PyTorch, Tensorflow, Spacy, CoreNLP. Tagged as: Industry , Machine Learning , Natural Language Processing , NLP , United Kingdom More ❯

system integrations across the data stack. Design and support secure, scalable systems using network protocols (TCP/IP, OSI) Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK. Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets. If you are interested in this Big Data Engineer role More ❯