13 of 13 Remote SpaCy Jobs in England

tuning PEFT/LoRA, Context 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 and collaboration skills, with the More ❯

thrive in a collaborative, fast-paced environment, we want to hear from you! Key Responsibilities : Develop and deploy state-of-the-art NLP models and solutions using technologies like spaCy, Transformers, and other NLP frameworks. Work with cross-functional teams to implement machine learning solutions for diverse applications, including but not limited to text embeddings, sentiment analysis, question answering, summarization … science with a strong focus on machine learning, AI, or language technologies. Technical Skills : Proficiency in Python or similar programming (intermediate level). Expertise in NLP libraries such as spaCy, Transformers, Sentence Transformers, LangChain, LangGraph, LlamaIndex, BERTopic. Hands-on experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, Google Cloud, Azure) and version control More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯