10 of 10 SpaCy Jobs in the UK

other data science competitions. Experience with MLOps practices (CI/CD, model monitoring, DevOps integration). Familiarity with advanced NLP frameworks such as spaCy or Transformers and exposure to AI technologies including Generative AI or LLMs. MSc or PhD in a numerate discipline. Financial services or banking experience. Why Join ...

Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model ...

Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model ...

Deep Learning Frameworks: Experience with frameworks like TensorFlow, PyTorch, or Keras. Familiarity with Natural Language Processing: Understanding of NLP techniques and libraries like NLTK, SpaCy, etc. Knowledge of Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud, or Azure. Understanding of Computer Vision: Familiarity with computer vision techniques ...

including strong knowledge of database structure and efficiency Proficiency in Git Proficiency in AI/ML frameworks: Huggingface, Torch, TensorFlow, Scikit‐Learn, and Spacy Experience in MLOps platforms: MLFlow, dbt, Docker, Kubernetes Experience with cloud environments such as AWS Technical Concept Requirements Experience in NLP, Forecasting, Clustering, Recommendation Engines, Network ...

Proficiency in the following version control language: Git* Proficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy* Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.* Experience with working cloud environments such as AWSTechnical Concept ...

Analytics is a major plus. Python Mastery: Fluent in Python and specialized machine learning libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data ...

Analytics is a major plus. Python Mastery: Fluent in Python and specialized machine learning libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data ...

from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/ ...

UiPath, Blue Prism, Automation Anywhere, NICE, ServiceNow, Power Platform) IDP (Intelligent Document Processing) (e.g., Hyperscience, ABBYY, Kofax) NLP, ML, or AI‐enabled automation (e.g., Spacy, Azure Cognitive Services) Low‐code platforms (e.g., Appian, Power Platform, Pega, Dynamics 365) Workflow orchestration Exposure to Agentic AI, IoT or emerging automation technologies Understanding ...