1 to 25 of 154 DemandTrendPermanent 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 ❯

at scale Advanced troubleshooting skills with the ability to diagnose and resolve intricate technical issues in production environments Strong knowledge in at least one scripting/programming language (PowerShell, Python, Bash) with demonstrable complex automation implementations Experience designing and implementing robust monitoring solutions and advanced alerting strategies Strong background in cloud security principles and implementation of security controls in Azure More ❯

Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication More ❯

the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful More ❯

the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful More ❯

you need: Strong experience with Cloudflare or equivalent platforms, Azure (PaaS/IaaS), and Terraform. Knowledge of AWS, hybrid/multi-cloud environments, networking fundamentals, DevOps practices, and scripting (Python/PowerShell). Client-facing experience, able to translate business needs into technical solutions. SC-level UK Government clearance (or ability to obtain). Nice-to-haves: Containerisation (Docker/ More ❯

you need: Strong experience with Cloudflare or equivalent platforms, Azure (PaaS/IaaS), and Terraform. Knowledge of AWS, hybrid/multi-cloud environments, networking fundamentals, DevOps practices, and scripting (Python/PowerShell). Client-facing experience, able to translate business needs into technical solutions. SC-level UK Government clearance (or ability to obtain). Nice-to-haves: Containerisation (Docker/ 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 ❯

code review standards and agile delivery. Contributing to technical strategy and mentoring other engineers. What You’ll Need: Strong experience in data engineering with expertise in languages such as Python, Scala, or Spark. Proficiency in designing and building data pipelines, working with both structured and unstructured data. Experience with cloud platforms (AWS, Azure, or GCP), using native services for data More ❯

code review standards and agile delivery. Contributing to technical strategy and mentoring other engineers. What You’ll Need: Strong experience in data engineering with expertise in languages such as Python, Scala, or Spark. Proficiency in designing and building data pipelines, working with both structured and unstructured data. Experience with cloud platforms (AWS, Azure, or GCP), using native services for data More ❯

contributing to their growth and development Apply agile methodologies (Scrum, pair programming, etc.) to deliver value iteratively Essential Skills & Experience Extensive hands-on experience with programming languages such as Python, Scala, Spark, and SQL Strong background in building and maintaining data pipelines and infrastructure In-depth knowledge of cloud platforms and native cloud services (e.g., AWS, Azure, or GCP) Familiarity More ❯

IT solutions, ensuring development activities align with project timelines and business priorities. Develop secure, scalable, and supportable solutions using modern programming languages (such as: PL/SQL, .NET, JavaScript, Python) and Azure services, including Service Bus and Functions. Define, maintain, and promote coding standards and best practices across development and the department, ensuring they are regularly reviewed, updated, and consistently More ❯

implementation in a highly technical or analytical role - 3+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., Java, C# - Strong understanding of DevOps practices with practical hands-on application and strong interest in AI/ML solutions - Strong verbal and written communications More ❯

/VB/Java/REST) Candidate Specification: Were looking for someone with: Minimum 3 years experience in a database developer/data engineer role Proficiency in SQL and Python Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data pipeline tools (e.g., SSIS, Spark) Strong grasp of data warehousing and data modelling principles Experience undertaking development work in More ❯

AmazonQ, Amazon Nova, EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Our inclusive culture empowers More ❯

of SQL data analysis , or willing to learn, (MS-SQL/Databricks - T-SQL, View and table design) Significant experience of using IT systems including Excel, Power BI and Python Strong technical analytical skills as a Data Analyst Managing and manipulating data experience Experience of checking work of others and ability to build effective working relationships. Excellent communication skills You 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 ❯

Momentum, AutomationDirect, Mitsubishi, Omron, Aromat, Toshiba, etc. Experience with SQL, Linux, Cloud Technology and IP Networking Ability to develop and/or modify scripts in scripting languages like Java, Python, C, Perl or similar. Project management, organization and problem solving skills with a drive for results and the ability to handle multiple tasks and teams. Good written and verbal communication More ❯

related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows Strong programming skills in R or Python, with experience in statistical libraries and bioinformatics tools Familiarity with biobank-scale datasets and genomic databases Experience with cloud platforms and scalable computing environments A publication record that reflects methodological More ❯

Datalake, MLOps, Model inference, Model Monitoring, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We More ❯

using AWS Big Data, Analytics, AI/ML or Data Science solutions - Hands on experience leading large-scale global data warehousing and analytics projects. - Experience designing and coding in Python or Scala or building ETL or data ingestion pipelines Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle More ❯

supporting enterprise IT environments. Strong knowledge of ITIL, ITSM (e.g., ServiceNow), DEX/Network monitoring tools (e.g., Nexthink, ZDX), Microsoft 365/Azure, UEM tools, and scripting (PowerShell, Bash, Python). Data analysis and reporting expertise; ability to identify trends and take action. Familiarity with Windows, macOS, Linux, IAM, and endpoint security. Fore more information, please apply or reach out More ❯

large-scale environment. Strong expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best More ❯

banks Training budget Genuine career progression opportunities Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data More ❯

their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong skills in Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally More ❯