101 to 125 of 1,395 Python Jobs in London

cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative solutions Desired Criteria Experience with Google Suite, SQL, GlobalData, Alteryx, Qlik Sense, Snowflake, AWS, Python What We Value Strategic vision with a focus on leveraging complex data Curiosity, innovation, and pragmatic problem solving Strong team leadership with the ability to motivate and prioritise in a More ❯

and engineering experience Bachelors degree in Computer Science (or equivalent) preferred Strong experience with automation tools (Ansible, Terraform, etc) Strong experience working with Linux systems and tools Experience with Python (or equivalent high-level language) Experience software development tools (Github, Jenkins, etc) and software development practices Experience with any of the Hyperscale cloud platforms such as Azure, AWS, Google Cloud More ❯

cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative solutions Desired Criteria Experience with Google Suite, SQL, GlobalData, Alteryx, Qlik Sense, Snowflake, AWS, Python What We Value Strategic vision with a focus on leveraging complex data Curiosity, innovation, and pragmatic problem solving Strong team leadership with the ability to motivate and prioritise in a More ❯

cleaning Budget management experience Strong problem solving skills and the ability to generate creative, collaborative solutions Desired Criteria Experience with Google Suite, SQL, GlobalData, Alteryx, Qlik Sense, Snowflake, AWS, Python What We Value Strategic vision with a focus on leveraging complex data Curiosity, innovation, and pragmatic problem solving Strong team leadership with the ability to motivate and prioritise in a More ❯

data offering. Essential Skills & Experience Proven experience in data engineering, analytics engineering, or a related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated More ❯

mentoring testers and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous consultancy or professional services experience. Hands-on experience with additional programming languages like Python, Ruby, Scala, or PHP. Exposure to cloud platforms and infrastructure-as-code within test environment. Whats in It for You? We reward leadership and initiative with a package that reflects More ❯

data offering. Essential Skills & Experience Proven experience in data engineering, analytics engineering, or a related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated More ❯

increase efficiency. Here's what we're looking for: Master's Degree or PhD qualification within science, computing, mathematics or other quantitative subject. Solid experience of code development in Python, including: Experience developing in an Agile environment Use of math/stats & testing libraries, as well as modern build tools. Ability to refactor code and work effectively with legacy systems. More ❯

Analytics, Business Intelligence, or a related field Excellent communication and presentation skills for client-facing interactions Data/Statistical analysis experience (e.g. R or SPSS) Programming experience (e.g. SQL, Python, Java) Experience with the Microsoft Office (Excel, Word, Powerpoint, Outlook) Willingness to travel to client sites as needed Nice to have: Microsoft Power BI certification (e.g., PL-300: Power BI More ❯

Analytics, Business Intelligence, or a related field Excellent communication and presentation skills for client-facing interactions Data/Statistical analysis experience (e.g. R or SPSS) Programming experience (e.g. SQL, Python, Java) Experience with the Microsoft Office (Excel, Word, Powerpoint, Outlook) Willingness to travel to client sites as needed Nice to have: Microsoft Power BI certification (e.g., PL-300: Power BI More ❯

written and verbal. Desirable, but not essential Familiarity with Agile methodologies, tools and ways of working. Experience and knowledge of CI/CD tools. Experience in scripting/coding (Python, C#, PowerShell). Experience of common automation tools (Terraform, Ansible). Experience with monitoring solutions (Nagios, Zabbix, NetCool, Icinga, Elastic). Previous experience of working in a DevOps environment. If More ❯

written and verbal. Desirable, but not essential Familiarity with Agile methodologies, tools and ways of working. Experience and knowledge of CI/CD tools. Experience in scripting/coding (Python, C#, PowerShell). Experience of common automation tools (Terraform, Ansible). Experience with monitoring solutions (Nagios, Zabbix, NetCool, Icinga, Elastic). Previous experience of working in a DevOps environment. If More ❯

machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data Warehousing/Data Lakes. Proficiency in SQL for data extraction and analysis. Strong More ❯

Data Science, Artificial Intelligence, Engineering, or a related field. Proven experience in designing, developing, and deploying machine learning models and AI algorithms. Strong proficiency in programming languages such as Python, R, or Java. Solid understanding of data processing, feature engineering, and data analytics. Ability to collaborate effectively with cross-functional teams including data scientists, engineers, and product managers. Strong problem More ❯

solving and communication skills, with the ability to work effectively in collaborative teams. Exposure to agile delivery methods. Experience with other development languages or frameworks such as JavaScript, Java, Python, or .NET - or a strong willingness to learn and adapt to new technologies as required. Qualifications & Certifications Salesforce Platform Developer I - Required Salesforce Platform Developer II - Desirable Other Salesforce certifications More ❯

modeling in Power BI. Experience with Agile/Scrum methodologies and familiarity with Azure DevOps for CI/CD pipelines. Strong knowledge of PowerShell scripts. Preferred Skills Experience in Python scripting. Good to have knowledge of AWS and Google cloud. More ❯

within the Defence & National Security space and are keen to connect with talented engineers interested in making a real impact. What you'll bring: - Strong development skills in Java, Python or C++ - Experience with containerisation & orchestration (Docker, Kubernetes) - Infrastructure as Code knowledge (Terraform, Ansible) - Cloud (AWS or Azure) exposure beneficial - A collaborative mindset with the ability to solve complex technical More ❯

security and governance standards. Contribute to the development of AI best practices and frameworks. Essential Skills Active SC Clearance (must be current) Strong experience in AI/ML engineering (Python, TensorFlow, PyTorch, etc.) Experience with cloud platforms (AWS, Azure, or GCP) Solid understanding of data pipelines, APIs, and MLOps Excellent problem-solving and communication skills More ❯

function. Maintain strong understanding of business processes, products, and risk frameworks. Key Requirements Proven experience using data analytics to support audit or risk functions. Strong proficiency in SQL and Python in a professional setting. Solid understanding of databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google Cloud, or More ❯

to deliver data-driven insights. * Improve data processes, automation, and system performance. Lead Data Engineer Attributes/Skills: * Strong experience in data engineering and cloud platforms. * Proficient in SQL, Python, and Power BI (DAX, Power Query). * Experience with data modelling, data warehousing, and ETL pipelines. * Familiarity with AI/ML concepts and modern data tools. * Previous team leadership or More ❯

security best practices. Drive incident response, monitoring, and performance tuning. Key Technologies: AWS (EKS, Fargate, EC2, S3), Terraform, CloudFormation, GitLab, ArgoCD, Docker, Kubernetes, Helm, Cassandra, OTel, Grafana, Splunk, Karpenter, Python, Bash. Desirable: Experience with Google Cloud Platform (GCP), Apigee Hybrid, and hybrid/multi-cloud environments. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business More ❯

of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and problem-solving More ❯

of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and problem-solving More ❯

of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and problem-solving More ❯

of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and problem-solving More ❯