226 to 250 of 1,240 Python Jobs in the Midlands

Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen AI tools or techniques is highly desirable. Educated to More ❯

supporting and managing Microsoft Azure, DevOps, Terraform, Infrastructure-As-Code environments. Technical Skills: Strong understanding of cloud architecture, networking, security, and automation. Proficiency in scripting languages such as PowerShell, Python, or Bash. Problem-Solving: Excellent analytical and problem-solving skills. Ability to diagnose and resolve complex technical issues efficiently. At Focus Group, we celebrate diversity and foster a culture where More ❯

production. You have hands-on experience in data science and/or AI, including Geospatial, GenAI, and Agentic AI, which will be highly valued. You are comfortable coding in Python and SQL, with an interest in exploring other languages. You have experience deploying ML and AI solutions in production on cloud platforms, working with cross-functional teams. Experience with AzureML More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

energy sector, especially in energy systems or grid automation. Proven experience validating AI/ML models to meet requirements. Strong knowledge of statistical techniques and validation methodologies. Proficiency in Python, R, or MATLAB. Experience with data wrangling, feature engineering, and dataset preparation. Knowledge of machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources More ❯

or InfluxDB Event-driven messaging: RabbitMQ or similar Strong Linux skills, scripting, and understanding of network security protocols Experience with AWS: EC2, S3, RDS, Lambda Desirable: Experience coding in Python, Java, or Go Exposure to cross-domain solutions Experience in a service management environment Observability best practices and metric-driven reliability improvement Security Requirements Due to the sensitive nature of More ❯

a challenging role, but it is also highly fulfilling. About you: Must-have criteria: Minimum 2 years of relevant programming experience. Degree-level qualification. Strong coding capability in JavaScript, Python, C#, PHP, SQL, VB. Relational database experience, ideally PostgreSQL. Strong communication and teamwork skills are essential. Additional desirable criteria: Azure DevOps GIT Experience and knowledge of working in an AWS More ❯

Responsible for software packages, production data management tools and embedded device FW. What You Need to Succeed Significant hands on and commercial experience with C++, C#, .NET, SQL, TypeScript, Python or similar. Commercial experience of leading, managing and directing software teams (at least 3 years). Degree educated in Engineering, Computer Science, Mathematics, Physics or related field. Extensive experience with More ❯

and their applications. Understanding of statistical principles related to sampling, bias, inference and prediction. Ability to solve problems considering all constraints, context and risks. Solid knowledge of R or Python and related packages for data processing, visualisation and analysis. Awareness of techniques for querying and processing large data sets (Spark, SQL) and big data platforms (Azure). Understanding of coding More ❯

ensuring they meet business and technical requirements. Strong knowledge of statistical techniques, model performance metrics, and validation methodologies for AI/ML models. Proficiency in programming languages such as Python, R, or MATLAB. Experience with data wrangling, feature engineering, and preparing datasets for model validation. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model evaluation techniques. Experience More ❯

algorithms, software design and core programming concepts Comfortable multi-tasking, managing multiple stakeholders and working as part of a team Comfortable with working with multiple languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Open to working in GS proprietary More ❯

software design and core programming concepts Comfortable multi-tasking, managing multiple stakeholders and working as part of a team Comfortable with working with multiple programming languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Open to working in GS proprietary More ❯

algorithms, software design and core programming concepts • Comfortable multi-tasking, managing multiple stakeholders and working as part of a team • Comfortable with working with multiple languages • Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) • Experience in working with process scheduling platforms like Apache Airflow. • Should be ready to work in More ❯

understand their security requirements, business goals, and existing infrastructure shortcomings. Conduct security assessments and audits, including vulnerability scans, and compliance checks. Utilise Automation techniques through scripting (e.g., Bash, PowerShell, Python) to optimise deployment processes Collaborate with cross-functional BSST teams to architect secure, reliable, and scalable solutions. Deploy hybrid identity solutions, such as Active Directory, Entra ID, SSO, and MFA More ❯