1 to 25 of 181 Python Jobs in Yorkshire

the world's leading financial institutions. Key Accountabilities Responsibilities will include: • Design, develop and maintain highly available, secure, and performant backend REST API services along with frontend client using Python, Golang, Docker and Cloud-Native services. • Implement and manage database schema changes using Liquibase, ensuring alignment with compliance and audit standards. • Build and maintain CI/CD pipelines in collaboration More ❯

AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/ More ❯

infrastructure-as-code tools (e.g. Terraform, Ansible) is a must Proficiency with AWS cloud tools and architecture , including deploying microservices using ECS, ECR and Fargate. Hands-on experience with Python Hands-on experience with Docker. Experience in setting up and managing Azure DevOps CI/CD pipelines Understanding of build and deployment methodologies for distributed systems Solid experience with enterprise More ❯

including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure to AI/ML data preparation, Python or Spark, Data Vault 2.0, data governance, GDPR, and experience working in mobility, logistics, financial services, or tech-enabled environments. What's in it for me? Hybrid and remote working More ❯

Azure Bicep and Terraform. Experience in deploying a broad range of Azure resource types, including (not limited to) Storage accounts, Virtual machines, Synapse Databricks. Strong scripting skills in PowerShell, Python, or similar. Hands-on experience with continuous integration and continuous delivery (CI/CD) pipelines. Working knowledge of Azure services. Familiarity with version control systems, especially Git. Experience with monitoring More ❯

production environment Demonstrable expert skills in SQL, including a knowledge of efficient and performant query design Experience of programming/scripting languages ( e.g.T-SQL/C#/PowerShell/Python) Experience building production systems utilising cloud systems, with particular value in expertise with Microsoft Azure. Uses coding best practices and understands data architecture patterns Deep understanding/experience of ETL More ❯

and hence a trusted adviser to key stakeholders. Numerate & analytical with knowledge of data management. Proficient in BI tools like PowerBI, Qlik, Tableau. Proficient in Microsoft SQL. Proficient in Python/R. Strong knowledge of statistical methodologies and data analysis techniques (eg clustering). Passionate about data analytics. Technically self-sufficient with a desire and ability to research and pick More ❯

limited to having resided in the UK for at least the past 5 years and being a UK national or dual UK national. Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance of data pipelines and More ❯

Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field More ❯

Terraform, including writing, testing, and deploying Terraform scripts. Strong understanding & experience of setting up CI/CD using GitHub Actions. Experience of maintaining & configuring Linux VMs and scripting via Python, Bash, or Shell. Experience with monitoring and logging tools such as CloudWatch, or Grafana Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. More ❯

GitHub Actions, Jenkins, or similar Familiarity with containerisation tools (e.g. Docker, Kubernetes a plus) Knowledge of monitoring/logging tools (e.g. CloudWatch, Prometheus, ELK) Strong scripting skills (e.g. Bash, Python) Excellent communication and stakeholder engagement skills Location & Flexibility: This is a remote-first contract role, with a requirement to attend meetings in York 1–2 times per month. More ❯

best practices and ensure compliance with relevant frameworks (CIS, NIST, ISO27001). Develop and maintain infrastructure as code (IaC) using Terraform or CloudFormation. Automate deployment and configuration processes using Python, PowerShell, or other scripting tools. Integrate AWS security logs and data flows with SIEM platforms (e.g., Splunk). Support live cloud environments through monitoring, troubleshooting, and performance optimisation. Collaborate effectively More ❯

Analytics | Cloud Solutions | Digital Transformation | Industrial Automation | PLC | HMI | SCADA | IoT | Data Modelling | Data Visualisation | Business Intelligence | Agile Delivery | Continuous Improvement | Technical Leadership | Automation Strategy | Process Optimisation | Power Apps | Python | Data Governance | Data Integration | Data Warehousing | Robotics | IT Systems | Manufacturing Systems | Automation Projects | Artificial Intelligence More ❯

fulfil these requirements. In order to secure one of these Senior Data Engineer roles you must be able to demonstrate the following experience: Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance of data pipelines and More ❯

Degree in Computer Science, Physics, Mathematics, Engineering, or a related discipline Bonus Skills Experience with OpenVINO for AI inference and Intel hardware optimization Knowledge of C# (.NET integration) and Python (scripting/automation) Familiarity with Git, SVN, or other DevOps tools Experience with SQL for backend data handling Understanding of Agile delivery and Kanban methodologies You ll partner closely with More ❯

Degree in Computer Science, Physics, Mathematics, Engineering, or a related discipline Bonus Skills Experience with OpenVINO for AI inference and Intel hardware optimization Knowledge of C# (.NET integration) and Python (scripting/automation) Familiarity with Git, SVN, or other DevOps tools Experience with SQL for backend data handling Understanding of Agile delivery and Kanban methodologies You’ll partner closely with More ❯

across platforms Driving CI/CD, automated testing, and modern workflows Making strategic technical decisions and evaluating new tools/technologies 🎯 What We’re Looking For Strong backend skills: Python, FastAPI Frontend expertise: Next.js, React, TypeScript Solid understanding of MySQL/Postgres, REST/GraphQL APIs, data pipelines Leadership or senior engineering experience (mentoring, code review, ownership) Cloud experience (AWS More ❯

environment includes: AWS, Azure, Kubernetes (EKS), ECS, Terraform, Airflow, EFK/Prometheus/Grafana, MySQL/PostgreSQL/Redis/Elasticsearch/Kafka, GitHub Actions, plus services written in Python, Node.js and Go. More ❯

with at least 2 years in an architectural or leadership role. Strong understanding of architectural patterns (e.g., microservices, layered, serverless). Proficiency in programming languages such as Java, C#, Python, or JavaScript/TypeScript. Hands-on experience with cloud platforms (in particular Azure) Excellent communication and stakeholder engagement skills. Desirable: Experience in enterprise application integration (EAI). Knowledge of data More ❯

layers of AI delivery - from model design to deployment. You'll likely have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or More ❯

understanding Degree or equivalent experience in business, economics, analytics, or a related field reliant on research and analytics Naturally curious with an intelligent problem-solving mindset Previous database, analytics, Python and SQL skills would be an advantage Hyper-organised, structured, and motivated to deliver at pace Confidence with data analysis and building insights High attention to detail and the ability More ❯

impact. You’ll be hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Proven experience working in a consultancy environment — able to manage multiple clients and projects Great communication skills — able to More ❯

and routing VPC - WAF (Firewall), NACL (Access control lists) and Direct connect configuration VPC - Peering connections. Connectivity between VPCs and other AWS Accounts Lambda - Majority of functions written in Python AWS Eventbridge - - Used to trigger lambdas S3 - - Simple bucket storage Postgres RDS - Relational Database DynamoDB - Some minor items stored here (Terraform state and locks) Cloudwatch - Logging and metrics alerting AWS More ❯

of AWS trends and best practices What we’re looking for: Hands-on AWS experience across compute, networking, storage, serverless, IAM, etc. Proficiency in Terraform or CloudFormation, and scripting (Python/Bash) Strong understanding of modern cloud architectures and DevOps practices Excellent communication skills with both technical and non-technical stakeholders AWS certification (desirable) If you're looking to grow More ❯

alerting for production systems Collaborate with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of More ❯