1 to 25 of 116 Python Jobs in Manchester

Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code No-Code Data Science ...

technical direction and contribute to architectural and design decisions. Required Skills & Experience Strong analytical skills with experience working with large-scale and unstructured datasets. Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines ...

stack (Jira, Confluence, etc.) Key Requirements: Strong experience in DevOps, platform engineering, or infrastructure engineering Experience with one or more scripting/programming languages: Python PowerShell C#, Java or C++ Hands-on experience with: Infrastructure as Code (Terraform, Ansible, Packer) Containerisation and orchestration (Docker, Kubernetes) CI/CD pipelines ...

solving skills. Knowledge of data cleansing, quality assurance, and validation techniques. Exposure to machine learning concepts and predictive modelling. Experience using tools such as Python, SQL, Power BI, Excel, or similar analytical platforms. An understanding of machine learning workflows and model evaluation. The ability to work independently and take ownership ...

guardrail implementation Experience working in agile, cross-functional delivery environments Previous contract or consulting experience in enterprise settings is highly desirable. Key Skills Python (essential) LLM frameworks (LangChain, LlamaIndex, Semantic Kernel) API integration and microservices development Cloud platforms (Azure, AWS, or GCP) Vector databases and embeddings Git, CI/ ...

software engineer within modern cloud-native environments. Strong development skills in at least one of the following languages/frameworks: C# .NET, Nodejs, Reactjs, Python, React Understanding of AI First development and deployment processes. Experience building REST APIs, microservices, or modern frontend applications. Good grasp of secure coding, testing strategies ...

client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership ...

skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous ...

ability to work in cross-functional, stakeholder-heavy environments Experience in a senior or architect-level role, with strong technical leadership capability Key Skills Python (or similar programming languages) TensorFlow, PyTorch, or similar ML frameworks Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform) Data technologies (SQL/NoSQL ...

Code (e.g., Terraform) Strong background in CI/CD pipeline design (e.g., Jenkins, GitLab CI, Cloud Build) Proficiency in scripting/programming (e.g., Python, Bash, Go) Experience with containerisation & orchestration (Docker, Kubernetes) Solid understanding of cloud networking, security, and identity management Experience with monitoring & observability tools (Prometheus, Grafana ...

Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data replication technology such ...

Zero Trust security best practices Skills Required Strong AWS infrastructure experience Infrastructure as Code expertise CI/CD pipeline engineering Docker and Kubernetes Python, Bash, or PowerShell scripting AWS networking knowledge including VPCs and security groups Monitoring and logging experience Strong troubleshooting and problem-solving skills Experience working in secure ...

GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such ...

such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high ...

within enterprise environments. Hands-on experience with DevOps practices, deployment pipelines, and automation for analytics workloads. Knowledge of scripting or programming languages such as Python, Java, or C# would be advantageous. Background in data visualisation, analytics engineering, business intelligence, or data engineering preferred. Interest or exposure to cybersecurity analytics environments ...

experience, both through delivery and developing technical teams. Expertise in monitoring and observability platforms (e.g., Prometheus, Grafana, Datadog). Proficiency in scripting and automation (Python, Bash, PowerShell). Familiarity with containerisation and orchestration (Docker, Kubernetes). Solid understanding of networking, security, and cost optimisation in cloud environments. Knowledge of cybersecurity ...

deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes ...

technical expertise with leadership, setting automation standards, shaping strategy, and mentoring others. Responsibilities: Design and deliver enterprise-scale automation using Terraform, Bicep, PowerShell and Python Build and improve CI/CD pipelines with GitHub Actions and Azure DevOps Act as the Azure automation SME, advising on security, resilience, and cost ...

deployment, governance and integration patterns Collaborating with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes ...

Kubernetes, for example. - Experience with Infrastructure as code technologies like ansible or terraform. - Ideally a has a coding background, utilising languages such as Python, Java, Spring Boot- Strong communications abilities, with experience in stakeholder management. TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . ...

Strong analytical and problem-solving abilities with excellent attention to detail Hands-on experience with: Azure Data Factory (ADF) or SSIS Azure Databricks and Python Knowledge of Master Data Services (MDS) (desirable) Core Competencies Stakeholder Engagement: Builds strong relationships and ensures clear communication across teams and partners Collaboration: Works effectively ...

Kore.AI and similar platforms), intelligent automation, and data heavy architectures (AWS, Kafka); familiarity with Adobe tools. Proven capability with modern development stacks (Java, .NET, Python, JavaScript frameworks), Agile/SAFe delivery methods, and build versus buy, vendor management and TCO/ROI analysis. Excellent technical risk assessment, governance and compliance ...

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 ...

embedding models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps ...

Mentor and coach engineers Involved in the code day to day About You Strong full-stack development experience (Angular, JavaScript/TypeScript, Java, Node.js, Python or similar) Multi-cloud experience (AWS preferred, Azure/GCP welcome) Experience mentoring and influencing technical teams Exposure to AI tools and technologies such ...