1,126 to 1,150 of 11,164 Python Jobs in the UK

infrastructure and platform security principles, with exposure to DevSecOps workflows. Proven ability to collaborate with senior stakeholders, translating business needs into technical strategy. Strong scripting capabilities (e.g., PowerShell, Bash, Python). Excellent troubleshooting and problem-solving skills, especially in high-availability and mission-critical environments. Nice to Have: Experience supporting logistics, warehousing, or multi-region ecommerce platforms. Knowledge of container More ❯

performance tuning and monitoring tools. Knowledge of containerization and orchestration technologies (Docker, Kubernetes). Familiarity with database security practices and compliance standards. Scripting and automation skills using languages like Python, Bash, JavaScript or similar. Familiarity with version control systems (Git) and CI/CD pipelines. Strong problem-solving skills and the ability to work effectively in a fast-paced environment. More ❯

hybrid cloud environment (GCP and AWS). Skills/Experience Needed: 5+ years of experience as a software engineer Experience in developing complex backend services using PHP, Golang, or Python Solid understanding of SQL, with the ability to design and optimize queries, manage databases, and troubleshoot performance issue s Experience with RESTful or GraphQL API architecture Hands-on experience with More ❯

We would love to talk to you if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse More ❯

data analytics specialist, encouraging a culture of informed, data-driven decision-making throughout the organisation. Required Skills & Experience: Extensive experience conducting data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise More ❯

years of experience in IT; 3-5 years in a Data Engineer role. Expert SQL knowledge and experience with relational and no-SQL database systems. Expert programming skills in Python/PySpark; experience in Java/Scala is beneficial. Experience with Data Warehousing for large complex datasets, including defining, building, and optimizing data models. Expertise in implementing Data Lake/ More ❯

and deliver large-scale, data-driven projects, ensuring efficiency, quality, and scalability. Develop and oversee data architectures, ensuring the seamless integration of structured and unstructured data sources. Utilize Talend, Python, and No-SQL technologies to design and optimize data solutions. Partner with stakeholders to understand data requirements and translate them into actionable deliverables. Mentor and lead a team of engineers More ❯

data analytics specialist, encouraging a culture of informed, data-driven decision-making throughout the organisation. Required Skills & Experience: Extensive experience conducting data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise More ❯

Knowledge of GenAI & QE developments Experience building advanced automation frameworks using object-oriented and scripted languages Proficiency in at least two of the following: JavaScript/TypeScript, Java, C#, Python Strong understanding of OOP principles Experience working in Agile teams, designing automated tests, and ensuring test coverage Ability to collaborate with developers and understand CI/CD pipelines Knowledge of More ❯

/knowledge/experience: ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow Experience in designing and implementing data products and solutions on cloud-based architectures. Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as More ❯

/knowledge/experience: ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow Experience in designing and implementing data products and solutions on cloud-based architectures. Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as More ❯

/knowledge/experience: ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow Experience in designing and implementing data products and solutions on cloud-based architectures. Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as More ❯

Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with More ❯

leadership responsibilities. Deep expertise in AWS and/or Azure data platforms and services. Proficiency with Pentaho BA for ETL processes and data workflows. Strong skills in Power BI, Python, and Java. Agile development experience and a pragmatic, team-first approach. Excellent problem-solving and communication skills, including the ability to convey complex concepts to non-technical stakeholders. Desirable (but More ❯

SSO, role-based access control, encryption) Familiarity with enterprise software design patterns and principles such as SOLID is desirable Experience working in Agile delivery environments with Scrum Familiarity with Python or willingness to learn Excellent communication and leadership skills with the ability to influence stakeholders and guide engineering teams Reply is an Equal Opportunities Employer and committed to embracing diversity More ❯

Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with More ❯

and resolving security issues Automating tests and supporting our engineers on building great software Minimum qualifications: Strong experience with monitoring/observability tools (Grafana, Prometheus, or similar) Proficiency in Python, Docker, Kubernetes, and CI/CD pipelines Hands-on cloud experience (AWS or similar) A passion for designing and implementing scalable observability solutions Minimum 3 years experience working in a More ❯

/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. " Exposure to polyglot programming languages like Scala, Python and Golang will be a plus " Ability to read/write code and expertise with various design patterns " Have used NoSQL database such as MongoDB, Cassandra, etc. " Work on opportunities More ❯

What are we looking for? Hands-on experience designing scalable, greenfield data platforms in cloud environments using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP More ❯

guidance to junior team members. Required Skills: Proven experience as a Machine Learning Engineer or similar role. Strong knowledge of machine learning algorithms, statistics, and predictive modeling Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow. Experience with machine learning operations (MLOps) and productionization of ML models. Familiarity with building data and metric More ❯

Azure, or GCP. Strong understanding of cloud computing concepts, architectures, and best practices. Deep understanding of serverless architecture and methodologies Proficiency in scripting and automation using languages such as Python, PowerShell, or Bash, and experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation. You enjoy building products in cross-discipline teams using an iterative approach You understand More ❯

Supply Chain Knowledge : Understanding of data from supply chain software like SAP IBP, SAP APO, and SAP ECC. Technical Skills : Proficient in SQL, with strong preference for experience in Python or R; exposure to automation tools (RPA) is preferred. Agile Methodologies : Experience in Agile (certifications preferred), with a track record of leading scrums and supporting delivery teams. Project Management : Familiarity More ❯

/bonus (but not essential) skills and experience: Some interest in learning and using automation tools such as Azure DevOps, Terraform, Node-Red, Packer. Scripting and automation skills (PowerShell, Python, Bash, or similar). Ability to design, implement, and maintain CI/CD pipelines for infrastructure automation. This is an exciting new role for a growing IT Infrastructure team, within More ❯

and analysis. Experience with serverless applications, containerisation (e.g. Docker) and CI/CD. Experience in managing cloud services like Google Cloud and AWS. Bonus points Startup experience Experience with Python web services (e.g. FastAPI, Django). Data engineering experience using PyData stack technologies (e.g. NumPy, Pandas, etc.) Experience building machine learning systems with LLMs, RAGs utilising embeddings. Technology Frontend: Typescript More ❯

training Get experience working with a leading professional services firm as a Loan IQ DevOps Engineer To become a Loan IQ DevOps Engineer will have: Essential: Scripting & Programming (Bash, Python, Go, Java or similar) for automation scripts Knowledge of Containerization & Orchestration (Docker, Kubernetes, OpenShift) CI/CD Pipeline Management: Experience with Teamcity, Jenkins, GitLab CI/CD, Nexus, Nolio and More ❯