26 to 50 of 126 Python Jobs in the North East

enhance productivity, such as code generation or coding assistance Code written in C#/.NET Experience with scripting tools such as PowerShell, Bash, Python, or Bicep Understanding of observability platforms If you're looking to progress your DevOps career within a collaborative, forward-thinking engineering team, this is an excellent ...

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 ...

team (multiple roles). Key requirements: Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version control and CI/CD proficiency using GitLab, including ...

scale and efficiency Required Experience & Skills Proven experience in a Data Engineer, Data Developer, AI Engineer, or similar role Strong programming skills in Python and SQL Experience building and maintaining data pipelines Exposure to cloud data platforms, data warehouses, or big data technologies Strong analytical and problem-solving skills Ability ...

Data Engineer should have: Experience working in a Data Engineering role within a cloud or data-driven environment Strong programming skills in Java or Python, with exposure to modern data tools Comfortable working with cloud platforms (AWS preferred) Familiar with CI/CD, version control and engineering best practices Eligible ...

Data Engineer should have: Experience working in a Data Engineering role within a cloud or data-driven environment Strong programming skills in Java or Python, with exposure to modern data tools Comfortable working with cloud platforms (AWS preferred) Familiar with CI/CD, version control and engineering best practices Eligible ...

Useful additions (not essential) DevSecOps exposure Cloud cost management/FinOps awareness Understanding of .NET/C# based platforms Scripting with PowerShell, Bash or Python Experience with observability and monitoring tools Interest in using AI tools to improve engineering productivity Working setup & culture Hybrid working with a flexible, trust-based ...

/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems ...

/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools ...

technically strong, delivery-oriented environment Your Responsibilities As a Data Engineer , you will: Build, optimise, and maintain scalable data pipelines (Java primary, with Python exposure) Develop real-time streaming and event-driven integrations Integrate data from multiple sources including streaming, batch, and APIs Work with managed cloud services such … teams Support and guide junior engineers where appropriate Key Requirements As a Data Engineer , you should have: Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing ...

Arista or equivalent). Load Balancing: F5 BIG-IP (LTM/APM/ASM). NetDevOps & Automation: Moving away from manual CLI; proficiency in Python, Ansible, Terraform, and GitLab CI/CD. Cloud/Hybrid Networking: Proven experience integrating local data centres with Azure, AWS, or OCI. Experience Profile: Engineer ...

leading university and excellent A-Level results (or equivalents). A demonstrable interest in financial markets and investment management. Strong technical capability in Python and SQL. Experience in data analysis, including visualisation and exploratory techniques. A detail-focused approach with the ability to interrogate and validate complex data. Excellent communication ...

working data solutions Collaborating with the internal Cloud & Data team to share best practices and ideas Technical Requirements Talend ETL (or similar) SQL/Python Database DDL Git/Gitlab/Gitlab CI JSON schema analysis TAD Test Automation PL/SQL Packages and procedures Denodo integration Nice to have ...

scaling data solutions in a cloud-first environment. Build and optimise scalable data pipelines using Java as the primary language, with exposure to Python where needed Develop real-time streaming solutions using technologies such as Kafka and Flink Integrate data from multiple sources including APIs, batch systems, and streaming platforms … Science, Artificial Intelligence, or similar Minimum 2 years’ experience in data engineering or large-scale data platforms Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark, with a preference for streaming technologies Solid understanding of real-time data processing concepts such as event ...

Doing Data Engineering & Pipeline Development Design, build, and optimise scalable data pipelines (batch and real-time) Work primarily with Java , with exposure to Python and streaming frameworks such as Kafka, Flink, or Spark Develop event-driven architectures and streaming integrations Integrate data from multiple sources using AWS services (e.g. Kinesis … team members where appropriate Requirements 3+ years’ commercial experience in Data Engineering or large-scale data systems Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark (streaming focus is a strong advantage) Solid understanding of streaming concepts (event time, state, backpressure) Experience building ...

this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor ...

architectures and LLM tooling Experience working in regulated or high-assurance environments Familiarity with AI safety, risk, and governance considerations Background in software engineering (Python or similar) Security Requirement SC clearance (or willingness/eligibility to obtain) is required. ...

Zero Trust principles• Design and operate high-availability network services, including routing, segmentation, and resilience• Develop and maintain network automation using tools such as Python, Ansible, and Infrastructure as Code• Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction• Contribute immediately to delivery ...

Zero Trust principles• Design and operate high-availability network services, including routing, segmentation, and resilience• Develop and maintain network automation using tools such as Python, Ansible, and Infrastructure as Code• Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction• Contribute immediately to delivery ...

governance, security and compliance standards Skills and Experience Experience as a Data Engineer, Data Developer, AI Engineer or similar role Strong programming skills in Python and SQL Experience building data pipelines and working with structured and unstructured data Understanding of data modelling and data integration concepts Familiarity with machine learning ...

accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges ...

experience with simulation modelling techniques (discrete event simulation, agent-based simulation, system dynamics) and translating operational systems into models.* Strong programming proficiency in Python (or similar languages) for data manipulation, automation, integration and working with AI/ML libraries.Demonstrated proficiency in at least one of the following:* + Modelling, Simulation ...

alongside accessibility testing (WCAG 2.2 with assistive tech such as JAWS/Dragon), plus Infrastructure as Code and data platforms using Terraform, Apache Spark, Python/Airflow, Docker, security scanning (e.g., Trixy, Trend Micro, Wiz) and Juryter Notebooks, integrated with DWP Integration Team products (e.g.Data Access Layer and SFT). … Tech stack spans AWS and Azure cloud with Terraform for Infrastructure as Code, Java and Python services built as RESTful microservices (Spring Boot) supported by TDD/BDD, Apache Spark for data processing and Apache Airflow for orchestration, containerization with Docker, CI/CD and source control with GitLab/ ...

build and find ways to improve system robustness, resilience and stability Key skills required: Understanding of data processing using Apache Spark Use of Python, SQL, and familiarity with PySpark Experience using Apache Airflow for task orchestration Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/ ...

secure employment. The Programme Complete this 10 14 week online programme with approximately 10 15 hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support ...