451 to 475 of 1,352 Python Jobs in the Midlands

architecture role in an Azure ecosystem, Azure modern data platform experience is essential, with hands-on skills preferred. You will be a Data Architect: a master data manipulator with Python/SQL/data pipelines and a technical specialist capable of managing customer requirements for data-centric projects, designing integration solutions, data modelling, and hands-on implementation of data and … organisation & industry level Integration to D365 and Dataverse solutions Azure storage technologies and cost/performance characteristics Techniques and tools for sanitizing data prior to use Master Data solutions Python and Data Science We’re also looking for people that fit how we work: Happiest working under their own direction, but fully supported when needed An obvious attention to detail More ❯

bring: Strong cloud (AWS), containerisation (EKS), and IaC skills GitLab, Ansible, Linux, CLI mastery Confident in mentoring, managing, and consulting Knowledge of networking, security, and agile delivery Programming skills (Python or PHP = bonus) DevOps/Cloud certs? Even better Ready to step up and own the DevOps space in a fast-moving, creative environment? Hit apply or message for more More ❯

decision making and shapes our customer strategy. The core part of the role will involve analysing large volumes of customer data using tools such as Teradata, SAS Enterprise Guide, Python and Power BI. You'll make your insight deeper through the use of predictive analytical techniques and by combining your analysis with understanding from customer research and market insight, working … science and analytical techniques. Technically robust and comfortable with all elements of the data science lifecycle using tools such as Teradata, SAS Enterprise Guide, Cloud Platforms (ideally Data Bricks), Python and Power BI. Have excellent knowledge of Excel and PowerPoint. Possess excellent communication and influencing skills, with the ability to present findings in a compelling way to stakeholders. Understand Financial More ❯

decision making and shapes our customer strategy. The core part of the role will involve analysing large volumes of customer data using tools such as Teradata, SAS Enterprise Guide, Python and Power BI. You’ll make your insight deeper through the use of predictive analytical techniques and by combining your analysis with understanding from customer research and market insight, working … science and analytical techniques. Technically robust and comfortable with all elements of the data science lifecycle using tools such as Teradata, SAS Enterprise Guide, Cloud Platforms (ideally Data Bricks), Python and Power BI. Have excellent knowledge of Excel and PowerPoint. Possess excellent communication and influencing skills, with the ability to present findings in a compelling way to stakeholders. Understand Financial More ❯

Need: Proven experience as a Data Engineer (ideally in the insurance or financial sector). Expertise in SQL Server , ETL frameworks , and data pipeline development . Solid knowledge of Python , Azure , AWS , and tools like Databricks , Glue , S3 , etc. Ability to identify and resolve performance bottlenecks and data quality issues. Comfortable translating actuarial or analytical needs into scalable data solutions. More ❯

Deep expertise in AWS (EC2, ECS, Lambda, S3, RDS, IAM, VPC, etc.). Proficiency in Infrastructure as Code (Terraform, CloudFormation). Strong programming skills in .NET , Angular/TypeScript , Python , and JavaScript . A proactive mindset with a passion for automation, innovation, and continuous improvement. DevOps Certification 💼 Why Join? Work with a forward-thinking team on cutting-edge cloud technologies. More ❯

manager in connection with their job as may be requested. Creation of user guides and manuals to the train CAE team members. Essential Skills Required: Proficiency in programming language Python, VB, Java, Simulink, Matlab etc. Good understanding of CAD software 3DX CATIA MS Excel. Ability to adapt/understand new technology areas Communication skills. Desirable Skills: Understanding of propulsion systems More ❯

manager in connection with their job as may be requested. Creation of user guides and manuals to the train CAE team members. Essential Skills Required: Proficiency in programming language Python, VB, Java, Simulink, Matlab etc. Good understanding of CAD software 3DX CATIA MS Excel. Ability to adapt/understand new technology areas Communication skills. Desirable Skills: Understanding of propulsion systems More ❯

manager in connection with their job as may be requested. Creation of user guides and manuals to the train CAE team members. Essential Skills Required: Proficiency in programming language Python, VB, Java, Simulink, Matlab etc. Good understanding of CAD software 3DX CATIA MS Excel. Ability to adapt/understand new technology areas Communication skills. Desirable Skills: Understanding of propulsion systems More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software engineering best practices. Strong technical expertise in cloud architecture, security, and deployment, with experience in Azure. Hands-on experience with containers, particularly Docker and Kubernetes. Solid More ❯

and VMs with tools such as Vagrant. Experience with DevOps Engineer in a 24x7 uptime AWS environment , including automation experience with configuration management tools. Strong scripting skills (e.g., Shell, Python, PowerShell, Perl, JAVA) and automation skills. Thorough knowledge of Jenkins and pipeline using Groovy script. Experience with Docker containers and Amazon Linux 2023 AMI. Experience with system monitoring tools (e.g. More ❯