10 of 10 Permanent scikit-learn Jobs in Edinburgh

best practices for distributed systems MSc or higher degree in Computer Science, Software Engineering or a related field Familiarity with ML frameworks (e.g. scikit-learn, PyTorch) or AI system integration Experience contributing to open-source projects or technical publications Working at Malted We’re based in Edinburgh ...

engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

weighting sample‐based data, statistical tests and proper usage, etc. and experience with real‐world applications. Experience in Python – NumPy, SciPy, Pandas, MLlib, scikit‐learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake – desirable) Strong written and verbal ...

detection logic, and communicate findings effectively to non-technical stakeholders. Essential Skills & Experience Strong Python for data processing and analytics (e.g., pandas, numpy; scikit-learn or equivalent) Structured data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts Feature engineering: ability to craft ...

Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs and interactive data applications Who This Program Is For Graduates or final-year ...

/LLM ecosystem Required Skills & Experience (A blend of): Strong experience with Python and common ML libraries (e.g. PyTorch, NumPy, Panda, TensorFlow, scikit-learn) Experience with LLMs and fine tuning (OpenAI, open-source models) Hands-on experience with agent frameworks (e.g. LangGraph, AutoGen, CrewAI, etc.) Experience deploying ...

lifecycle of machine learning models, including development, training, deployment, monitoring, and continuous improvement. Productionise ML models built with PyTorch, TensorFlow, or Scikit-learn, ensuring reliability, scalability, and security. Implement model versioning and experiment tracking using MLflow, along with controlled releases, rollback strategies, and continuous improvement workflows. Design, build … provisioning, environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering: ETL/ ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...