1 to 25 of 196 Permanent Python Jobs in the North West

early-stage discovery through to deployment and optimisation, while contributing to best practices and engineering excellence. Key Skills & Experience: • Strong experience writing production-grade Python • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Solid understanding of DevOps practices, CI/CD, and infrastructure-as-code • Experience with Docker ...

Google Cloud Platform/Data Stack including: BigQuery; Cloud Functions; Cloud Storage; Pub/Sub; IAM Management; Data Studio Strong working knowledge of Python for pipeline development, automation and tooling integration. Hands-on experience with Cloud Build and GitHub for version control and CI/CD. Highly Organised with strong ...

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 ...

reporting processes Required Skills & Experience • Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline • Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) • Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications ...

agents and AI-powered automation solutions. Strong prompt engineering and AI evaluation experience. Experience implementing RAG architectures and semantic search solutions. Software Engineering Strong Python development skills. Experience with JavaScript and/or TypeScript. Experience building and integrating REST APIs. Understanding of software architecture, design patterns, and scalable development practices. ...

governance Security Privacy Compliance Skills & ExperienceEssential Experience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer) Strong programming skills (Python, SQL or similar) Experience building and maintaining data pipelines Working with structured and unstructured data Desirable Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit ...

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 ...

machine learning Support junior engineers and contribute to team capability development Contribute to internal innovation and continuous improvement Key Requirements Strong programming capability in Python Experience building and deploying machine learning models and pipelines Experience with cloud platforms (AWS or Azure preferred) Practical experience with Docker, Linux/Unix ...

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 ...

Policies and Procedures with respect to Security, Quality and Health & Safety. About You: Here’s what we’re looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such ...

knowledge sharing VP of Data Engineering | Requirements: Solid data engineering foundations — pipelines, data platforms, ingestion, transformation, and serving at scale Hands-on experience with Python and SQL in production environments Exposure to AI/ML workloads — you've built infrastructure that supports data scientists or ML engineers, even ...

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 ...

Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience ...

experience in Java development. Experience with Cloud Native technologies on AWS, Azure or GCP is essential. Hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Set yourself apart: Proven ability to apply analytical and creative thought and translate ...

quality mindset. Desirable Skills & Attributes: ·Experience working with Databricks for data transformation or analytics workflows. ·Experience developing Salesforce reports and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ...

Containerisation, DevOps/IaC and Cloud (AWS or Azure) experience would be valuable along with experience in some of the following: JavaScript Typescript Golang Python Hybrid Working 3 days per on site and 2 days per week from home with an early finish on a Friday. Security Clearance Eligibility ...

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 ...

Azure DevOps, GitHub Actions, Jenkins) Terraform, Ansible, or other Infrastructure-as-Code tooling Docker and Kubernetes experience Linux administration knowledge Scripting experience (PowerShell, Bash, Python) Monitoring and logging tools experience Strong understanding of networking, security, and cloud architecture principles Desirable Kubernetes certifications Experience with OpenShift DevSecOps or security automation exposure ...

members and support the growth of internal data science capabilities. Skills & Experience Significant commercial experience in Data Science, Machine Learning, or Advanced Analytics. Strong Python skills with experience using pandas, NumPy, Jupyter, and related tools. Hands-on experience building and deploying predictive models in production environments. Experience with pricing, forecasting ...

data lake, data warehouse, data pipelines, analytics & business intelligence Power BI calculation groups, bookmarks, semantic model incremental refresh Tabular Editor Excel dynamic array functions Python, Pandas, NumPy, Matplotlib Sage 200 Linnworks Peoplevox Google Analytics (GA4) Working arrangements: 5 days a week, onsite, Salford, Manchester. They are looking for an experienced ...

party data providers-ensuring data is reliable, auditable, and delivered at scale. Data Engineer Responsibilities Act as the subject matter expert across ADF, Databricks, Python, PySpark, and Spark SQL Manage the daily ingestion and processing of raw data into enterprise data platforms Collaborate with the wider team to define data ...