51 to 75 of 3,062 Python Jobs in the UK

Essential Deep understanding of 'DevOps' principles in general Programming language, proficiency in one of the following along with a working knowledge on the other, C# (.NET Framework/Core), Python, Java, JavaScript (Node.js), Ruby, C++, CloudFormation, CDK, Terraform Proficiency in at least one of the following scripting languages; Python, PowerShell, Bash, GroovyNon Essential Platforms; Windows Server, Amazon Linux Developer tooling More ❯

level Software Engineer, with a proven track record of delivering successful projects and solutions. Demonstrated expertise in building enterprise-grade software, utilizing at least one of the following languages: Python, Java, Golang or Scala. A strong passion for driving project evolution and innovating new products within a dynamic environment characterized by lightweight agile processes. Proficiency in developing systems capable of … Driven Development (TDD) methodologies. Thorough understanding of the software development lifecycle, from conception to deployment. Capable of conceptualizing and implementing software architectures spanning multiple technologies and platforms. Technology stack Python Flask Java Spring JavaScript BigQuery Redis ElasticSearch Airflow Google Cloud Platform Kubernetes Docker Voted "Best Places to Work," our culture is driven by self-starters, team players, and visionaries. Headquartered More ❯

As a Senior Software Engineer (Data), you'll help shape and scale our data infrastructure, making analytics faster, more reliable, and cost-efficient. You'll work with AWS, Snowflake, Python, and Terraform, building tooling, and onboarding new data sources. You'll collaborate closely with teams across the business, ensuring our platform is secure, scalable, and easy to use. Our team … cloud resources efficiently. Assist in the troubleshooting and resolution of production issues to minimise downtime and improve user satisfaction. What we're looking for Strong software development, particularly in Python or a similar language. Solid engineering practices, including automated testing, deployment systems, and configuration as code. Experience with building data intensive applications and containerised services Experience with cloud services such More ❯

scalable systems, and wants to have a direct impact on data-driven decision-making. Key Responsibilities: Design, build, and maintain scalable and reliable ETL/ELT data pipelines using Python, PySpark, and SQL. Develop and manage data workflows and orchestration using tools such as Airflow or similar. Optimize data processes for performance, scalability, and cost-efficiency, particularly in cloud environments. … Ensure data security and compliance best practices are followed across data systems and processes. Required Qualifications: 5+ years of experience in data engineering or a related field. Proficiency in Python and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena More ❯

scalable systems, and wants to have a direct impact on data-driven decision-making. Key Responsibilities: Design, build, and maintain scalable and reliable ETL/ELT data pipelines using Python, PySpark, and SQL. Develop and manage data workflows and orchestration using tools such as Airflow or similar. Optimize data processes for performance, scalability, and cost-efficiency, particularly in cloud environments. … Ensure data security and compliance best practices are followed across data systems and processes. Required Qualifications: 5+ years of experience in data engineering or a related field. Proficiency in Python and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena More ❯

scalable systems, and wants to have a direct impact on data-driven decision-making. Key Responsibilities: Design, build, and maintain scalable and reliable ETL/ELT data pipelines using Python, PySpark, and SQL. Develop and manage data workflows and orchestration using tools such as Airflow or similar. Optimize data processes for performance, scalability, and cost-efficiency, particularly in cloud environments. … Ensure data security and compliance best practices are followed across data systems and processes. Required Qualifications: 5+ years of experience in data engineering or a related field. Proficiency in Python and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena More ❯

R&D, and model development practices. Collaborate with DevOps and Data Engineers to productionise and deploy machine-learning models into our AWS cloud infrastructure. Write production-grade code in Python, demonstrating CI/CD, Databricks and ensuring appropriate test coverage. Qualifications What we’d love you to bring: You are a self-starter with experience in delivering research + models … on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical partners to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience More ❯

Develop and maintain the scientific workflows underpinning the curation, integration and dissemination of the groups resources (e.g. the data pipelines for generating ChEMBL releases which are a mixture of Python and Java). Develop new innovative solutions for enhancing scientific data workflows and support our mission to disseminate scientific information publicly Manage and enhance scientific software tools essential for processing … Science, Bioinformatics, Data Science, or a related field. Experience in cheminformatics or data engineering applied to life sciences Track record of delivered projects involving scientific data processing Proficiency in Python, with experience in cheminformatics libraries and topics (such as RDKit, Open Babel, InChI, SMILES/SMARTS) Experience working with relational (SQL) databases Familiarity working in a structured collaborative data and More ❯

stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 5+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring, coaching or managing others in the team Designing and building Proof of Concept and Production systems collaboratively Source control (e.g. Git, Mercurial, Perforce) CI/CD tools (e.g. More ❯

Kubernetes. DBA experience is a huge plus, particularly with TimescaleDB, MySQL, or other PostgreSQL derivatives. Familiarity with web application development and deployment using Java, TypeScript, or React. Experience with Python scripting (minimal but required). Experience with PKI systems. Excellent problem-solving and troubleshooting skills. Strong written and verbal communication skills. To find out more about Computer Futures please visit More ❯

Kubernetes. DBA experience is a huge plus, particularly with TimescaleDB, MySQL, or other PostgreSQL derivatives. Familiarity with web application development and deployment using Java, TypeScript, or React. Experience with Python scripting (minimal but required). Experience with PKI systems. Excellent problem-solving and troubleshooting skills. Strong written and verbal communication skills. To find out more about Computer Futures please visit More ❯

and agile development practices. Understanding of cryptography, authentication, and encryption. Strong troubleshooting and problem-solving ability. Desirable Skills Previous experience in financial services or regulated environments. Programming experience in Python and Golang. GCP certifications such as Google Cloud Engineer or GCP Cloud DevOps Engineer. More ❯

stakeholders are treated fairly and with respect. What we're looking for Technology-focused degree preferred, or equivalent demonstrable experience. Extensive knowledge of: JavaScript, TypeScript, NodeJS, AWS SDK & CDK, Python, React, HTML/CSS, Java, Spring, Terraform/CloudFormation Hands-on experience: Building serverless applications in AWS Building microservices in Java (Spring Boot) Strong understanding of clean code principles, design More ❯

while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would More ❯

while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would More ❯

skills and system administration experience Educational Foundation : Degree in Computer Science, Data Science, Engineering, or equivalent hands-on experience Bonus Points For Starburst Certified Practitioner certification Programming Skills in Python and/or Java Automation Expertise with tools like Ansible AI/ML Data Requirements understanding Data Federation and caching technologies experience Data Pipeline design and optimisation Dell Data Lakehouse More ❯

PowerCLI, vRO, Terraform Networking fundamentals Microsoft Azure, SCCM, Intune SQL Server, AD, ADFS Windows Server, Hyper-V Azure AD, Debugging Tools SLA & escalation management Linux RHEL, CentOS, Ubuntu Bash, Python, Ansible Docker, Kubernetes Systemd, YUM/APT CI/CD familiarity Basic & Preferred Qualifications Basic: Bachelors degree in a relevant field or equivalent combination of education and experience Typically 5+ More ❯

supporting HPC or AI Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control Expert in Linux fundamentals and a scripting language, preferably Python Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible) Adaptability and passion to learn new areas and tools Flexibility to work and communicate effectively across More ❯

with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos. Excellent Unix/Linux skills. Familiarity with JDBC/ODBC Preferred Skills: Certification: Starburst Certified Practitioner . Experience Python and/or Java programming. Proficient with infrastructure automation tools such as Ansible. Knowledge of data requirements for AI and machine learning workloads. Familiarity with Data Federation and Cached Services More ❯

with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos. Excellent Unix/Linux skills. Familiarity with JDBC/ODBC Preferred Skills: Certification: Starburst Certified Practitioner . Experience Python and/or Java programming. Proficient with infrastructure automation tools such as Ansible. Knowledge of data requirements for AI and machine learning workloads. Familiarity with Data Federation and Cached Services More ❯

in a SRE/DevOps/Platform Engineering role and having previously worked with.Net, Azure and C# technologies. Proficiency in C# language – alongside knowledge of scripting languages like Bash, Python or PowerShell Production experience operating containerization technologies - ideally with Kubernetes (AKS or EKS) Proficiency with Azure Cloud and also with another public cloud provider such as AWS or GCP Proficiency More ❯

communication skills Desirable Skills/Experience Although not essential, we would be excited to speak to candidates who also have: Knowledge of other programming languages (particularly Go, Java or Python) Experience using CSS pre-processors (e.g. Sass), Next.js, and Nx Experience working with microservices and event driven architectures Database engineering experience (particularly PostgreSQL and DynamoDB) Terraform/IaC experience Kubernetes More ❯

in rapid MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI More ❯

Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering More ❯

Experience with data visualization tools like Excel, Power BI, Tableau, or similar. Experience with ETL tools, preferably Talend. Basic understanding of OLAP concepts and data warehousing principles. Familiarity with Python for data manipulation and scripting. Strong analytical and problem-solving skills. Experience in agile environments and working with ticketing systems (e.g., Jira). Note: Our tech stack may vary across More ❯