76 to 100 of 1,488 Python Jobs in London

and engineering excellence. Skills and Experience: Bachelor’s degree or higher in a technical discipline Extensive experience in AWS services Solid foundation in software engineering principles Advanced SQL skills Python strongly preferred More ❯

across Sahaj, helping grow our collective data engineering capability. What we’re looking for Solid experience as a Senior Data Engineer in complex enterprise environments. Strong coding skills in Python (Scala or functional languages a plus). Expertise with Databricks, Apache Spark, and Snowflake (HDFS/HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. More ❯

across Sahaj, helping grow our collective data engineering capability. What we’re looking for Solid experience as a Senior Data Engineer in complex enterprise environments. Strong coding skills in Python (Scala or functional languages a plus). Expertise with Databricks, Apache Spark, and Snowflake (HDFS/HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. More ❯

. Experience implementing foundational cloud platforms (landing zones, IAM, VPC, networking). Proficiency with Infrastructure as Code (Terraform) and automation through CI/CD pipelines . Scripting experience (e.g. Python, Bash, PowerShell ) for automation and DevOps integration. Proven experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. 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 ❯

learning solutions that not only anticipate but actively shape how global brands engage, understand, and delight their customers through intelligent, predictive, and personalized digital interactions.Some Technologies We Work With:Python primarily, with bits and pieces of typescript and scalaGCP, AWS, Azure - in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job More ❯

fostering growth and skill development. Skills and Experience Delivering significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. More ❯

under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data strategy. More ❯

LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

for experience with a compliance framework (ISO27001, PCI-DSS). Infrastructure-as-Code: Mastery of Terraform, CloudFormation, CDK or equivalent tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. Bonus points if you share your GitHub repo! Other Nice To Haves Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings More ❯

technology environments and architectures, from fully open source/bespoke environments through to fully proprietary, Enterprise and COTS-based. Strong scripting/programming skills - SQL essential, others such as Python, Java/JavaScript, C# very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate services across cloud platforms is More ❯

technology environments and architectures, from fully open source/bespoke environments through to fully proprietary, Enterprise and COTS-based. Strong scripting/programming skills - SQL essential, others such as Python, Java/JavaScript, C# very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate services across cloud platforms is More ❯

years of experience in backend development, with a focus on real time low latency systems. 3+ years of experience in Java. Strong problem-solving skills and attention to detail. Python experience desirable. Real-time software development, e.g. with eTrading background. Experience with REDIS, Chronicle and other low latency middleware a plus. Experience with containerization and orchestration tools like Docker and More ❯

such as Code versioning (git), JIRA, Ansible, database CI/CD tools and their implementation. Some other highly valued skills may include: Expert expertise with scripting languages (e.g. PowerShell, Python, Bash) for automation/migration tasks Experience of working on Data migration tools and software's Expertise in system configuration management tools such as Chef, Ansible for database server configurations. More ❯

mentorship to junior engineers. Required Education, Experience/Skills/Training: Bachelor in computer science or similar quantitative field, or equivalent experience 5+ years of professional programming in Scala, Python, and etc. 3+ years of big data development experience with technical stacks like Spark, Flink, Airflow, Singlestore, Kafka and AWS big data technologies Deep understanding of data modeling, distributed systems More ❯

collaborating effectively with cross-functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear More ❯

engineering best practices across the organization. Job Qualifications 5+ years of professional software engineering experience; ability to independently design and ship complex systems in production. Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems. Strong problem-solving skills and the ability to balance engineering rigor with delivery speed. Solid understanding More ❯

issues, while driving continuous improvement. Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 7+ years experience working in the Azure/Data space. Strong experience with SQL, Python, and data warehousing/ETL best practices. Hands-on experience with Azure cloud services; certification preferred. Familiarity with Infrastructure as Code (IaC), CI/CD, and GitHub/Azure DevOps More ❯

reviews and sprint planning. Required Skills & Experience Proven hands-on experience with VMware vRealize Automation (VRA) and VMware vRealize Orchestrator (vRO) . Strong background in Scripting languages (eg, PowerShell, Python, JavaScript, or similar). Familiarity with CI/CD pipelines and DevOps practices . Solid understanding of infrastructure automation and ITSM integration . Experience writing and maintaining technical documentation . More ❯

to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer More ❯

delivered. AND YOU THE MISSING INGREDIENT Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field. Minimum of 1+ years of experience in coding with Python and React.js. Knowledge of databases (SQL & NoSQL) and API development/integration. Familiarity with enterprise architecture design and delivery (Azure, GitHub, etc). Proven experience in building cloud applications using More ❯

Leveraging modern cloud and MLOps tooling to build scalable, reliable solutions Communicating data-driven insights and influencing both technical and business stakeholders What We’re Looking For Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and More ❯