Peterborough, Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
Crooton
an agile delivery environment. Excellent communication skills and the ability to clearly explain complex technical ideas. Thrives in a fast-paced environment and embraces change. Desirable Skills Experience with containerisation (Docker, Kubernetes). Background in web scraping , large-scale data ingestion, or processing. Familiarity with multi-language SaaS applications . UI/UX skills with modern CSS frameworks ( Tailwind, Bootstrap More ❯
stevenage, east anglia, united kingdom Hybrid / WFH Options
Henderson Scott
ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI 🌟 Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like LLMs, OCR engines, or knowledge graphs 💰 What's On Offer Salary up to £55,000 + More ❯
watford, hertfordshire, east anglia, united kingdom Hybrid / WFH Options
Henderson Scott
ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI 🌟 Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like LLMs, OCR engines, or knowledge graphs 💰 What's On Offer Salary up to £55,000 + More ❯
with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU … Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong More ❯
watford, hertfordshire, east anglia, united kingdom
Harrington Boyd
with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU … Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong More ❯
