26 to 50 of 193 Python Jobs in the East Midlands

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

requirements into technical solutions. Experience with Jenkins/CI/CD pipelines is desirable. Knowledge of Azure Cloud technologies is desirable. Experience with Java, Python, and React.js is desirable. Power BI and/or JasperSoft reporting experience is desirable. Warehouse automation experience Experience with other WMS platforms such ...

What You Will Have Degree in Computer Science, Data Science, Mathematics, or a related field. Foundational proficiency in programming languages such as SQL, and Python or R. Hands-on experience or strong familiarity with data visualization tools (Power BI, Tableau) and Microsoft Office/PowerApps. Exceptional attention to detail ...

What You Will Have Degree in Computer Science, Data Science, Mathematics, or a related field. Foundational proficiency in programming languages such as SQL, and Python or R. Hands-on experience or strong familiarity with data visualization tools (Power BI, Tableau) and Microsoft Office/PowerApps. Exceptional attention to detail ...

deepen their skills in the Microsoft Power Platform and Dynamics space. What you bring | Nōu te rourou 5 years of programming experience in C#, Python, or JavaScript. Experience in Power Platform and Dynamics development is a bonus. Solid web development fundamentals, including HTML5, CSS, JavaScript, JSON, and REST APIs. Basic ...

Tooling: Hands on experience with Secure Web Gateways, IDP, IDS, EDR, SAST, DAST, WAF technologies. Scripting & development skills: Comfortable writing automation and tools in Python, Go, Bash or similar languages. Company benefits25 days' holiday + bank holidaysOption to buy or sell 5 extra annual leave days per yearVitality Health Insurance ...

Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep technical expertise in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning or prompt engineering of state ...

skills; Software testing and test automation Software engineering with experience in scripting and/or low-level languages including but not limited to: Python, C/C++, C#, Java, Terraform An appreciation of IT infrastructure including operating systems (Windows, Linux), hardware (computers, servers, and network hardware) and associated software Experience ...

function — self‐directed and pragmatic under ambiguity Breadth across stacks: able to work across Ruby on Rails, PHP/Laravel, .NET/C#, and Python (deep in one or two, competent across the rest). Strong cloud security across AWS (primary) and Azure. Deep grasp of common vulnerability classes ...

production ML systems at scale in enterprise environments. Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert-level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost).Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience ...

Worky in the United Kingdom seeks a Full Stack Engineer with a data science focus to bridge data engineering and user-facing dashboards for Zula 2.0, the platform ranking and fusing rail inspection data. This ...

As a Senior Full Stack Developer, you'll contribute across the full software development lifecycle, taking ownership of technical delivery whilst helping to drive engineering excellence within your team. You will: Design, develop, test and ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

DETAILS Role Title: Sr Data Engineer • Minimum 6-8 years of experience working as Sr Data Engineer • Bigdata Technologies – PySpark, Spark • Coding Languages – Python, SQL • AWS services – Glue, Cloud formation, Lake Formation, IAM, Lambda, Redshift • Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka. • Work in an Agile ...

Microsoft. Ideal experience & Background Strong experience with Snowflake (SQL scripting DDL and DML) Good knowledge of Azure Data Factory and Azure DevOps Experience with Python Experience working in an Agile environment If you are an experienced Senior Data Engineer with the required skills, please respond with an up to date ...

including EDA, deployment, monitoring, and model refreshes. What they're looking for - Proven experience delivering ML projects from concept to deployment. - Strong Python and SQL skills. - Experience with Azure ML, Git, and cloud-based analytics environments. - Strong stakeholder engagement and commercial problem-solving capability. - Passion for applying emerging ML techniques ...

Knowledge of warehousing, stock, inventory, or supply chain analytics. Ability to manage multiple stakeholder requests and changing priorities. Retail industry experience is highly desirable. Python experience would be beneficial. ...

they looking for? You’ll ideally have experience across: Power BI/Microsoft BI solutions DAX & SQL SQL Server/databasesData wrangling & data modelling Python would be a bonus More importantly, you’ll be someone who is naturally analytical, organised and curious — able to spot what the data is telling ...

team and foster a culture of innovation and peer review within the team to ensure best practice. Knowledge and Skills: Extensive experience of Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. Strong understanding of SQL, database design, and data architecture. Experience with Databricks and/ ...

Experience implementing cloud monitoring, logging, alerting and observability Experience working with multi-account AWS environments, governance and environment separation Comfortable scripting and automating using Python, Bash, PowerShell or similar Good understanding of cloud resilience, backup, disaster recovery and operational support A collaborative, ownership-led mindset and the confidence to work ...

data led organisation* Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance ...