1,476 to 1,500 of 4,686 Python Jobs in London

real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data ...

data challenges. Exceptional attention to detail and a meticulous approach to work, consistently ensuring data accuracy, reliability, and completeness Advanced fluency in SQL and Python, or similar programming languages, for complex data manipulation, modelling, automation, and analysis Proficiency with Google Cloud Platform, etc. Ability to work effectively and independently, including ...

media and marketing data solutions Experience with Salesforce Strong experience and understanding of marketing platforms, metrics and KPIs Industry experience of SQL and python A track record of implementing cloud-based data solutions The ability to manage projects and processes independently A good understanding of business and marketing performance metrics ...

Collaborate with global support teams to troubleshoot and resolve production issues, providing third‐line support and operational expertise. The kinds of technology: Demonstrated experience Python API’s experience Understanding Java Serverless/Container‐Orchestrator Nice to have Groovy, JavaScript AWS, Kubernetes (K8/EKS) Video technology (Transcoding, DRM, Ad Insertion ...

enterprise AI platforms. One or more Oracle certifications across OCI, Data Management, AI Services or Autonomous Database. Experience working with complementary technologies such as Python, Spark, Databricks, Azure, AWS, OpenShift, Kubernetes or MLOps platforms. Demonstrated ability to structure client problems, shape solutions and identify opportunities for further value creation. Ability ...

transformations using dbt, including patterns for large, complex projectsData storage (SQL/NoSQL): schema design, modelling at scale, and multi-tenant isolationBack-end engineering: Python (nice to have: Typescript/Node. JS)Pipelines: streaming, CDC, correctness, replayability, and evolution over timeData quality and observability: validation, testing, data contracts, monitoring, alerting ...

foundations in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring). Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations. Experience with the Databricks platform — or the ability ...

sense of ownership, able to spot opportunities for improvement and help move projects forward from idea to implementation. Strong programming experience with proficiency in Python for building and maintaining data processing, analytics, and pipeline orchestration. Proficiency in managing and processing large-scale, high-dimensional datasets, ensuring efficient data loading ...

multiplier. What we're looking for Extensive experience in running Kubernetes clusters in production. Knowledge of Golang, Helm, and Terraform (some knowledge of Python is definitely a plus). Production experience in Cilium and/or eBPF and networking in general. Extensive experience in monitoring systems and their performance. ...

e.g. Snowflake, dbt, AWS, GCP, Looker) You’ll have experience with version control tools such as Git You’ll ideally have some exposure to Python for data or analytics engineering tasks You’ll have a meticulous eye for detail and strong problem-solving instincts — you care about whether the answer ...

Outlook. High computer literacy with demonstrated ability to learn and apply new software tools and technologies. Automation and scripting experience is a plus (PowerShell, Python, SQL) AI Skills and Experience Demonstrated ability and curiosity to use AI-enabled tools to investigate technical issues, accelerate troubleshooting, and identify practical solutions ...

functional stakeholders. A genuine curiosity about AI and a willingness to explore how it can enhance your day-to-day work. Technologies and Tools Python Machine learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn) ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis ...

precise specifications for agents. Strong PostgreSQL, relational design, REST API and cloud-native fundamentals (AWS preferred), with depth in at least two of Go, Python and TypeScript. Experience in automated testing, CI/CD, DevOps and live database migrations, alongside a working understanding of security, data protection and GDPR. Desirable ...

Actions, GitLab CI, Tekton, ArgoCD) with robust testing, canary/blue-green strategies, and rollback mechanisms. Strong Scripting/Coding Skills: Proficiency in Go, Python, Bash, or Rust for building custom release automation tools and CLI utility workflows. Nice to have: Prior experience working in dual-use, Defense, Government, Cyber ...

sets you built, and thresholds you set, and why Hands-on experience running training and inference on AWS (SageMaker, S3, ECS or similar) Excellent Python, and the ability to read, explain and extend an existing codebase before changing it Docker and CI/CD as part of your normal workflow ...

prompt tuning techniques, grounded in measurable evaluation rather than guesswork. Prior experience with DSPy, GEPA, or similar is a plus. Backend & Infra Skills: Strong Python skills, with FastAPI for service development, Postgres (or similar) for data persistence, and comfort with event-driven, async architectures. Working knowledge of ML frameworks (PyTorch ...

engineers, not just from the infrastructure itself Worked with monitoring and observability tools such as Datadog General Proficiency in at least one of: Go, Python, Typescript, or strong shell scripting skills Strong communication skills and comfort influencing technical direction across teams A desire to keep learning, we’ll help ...

understanding bias/variance and statistical power, and applying causal inference techniques (e.g., diff-in-diff, IV, matching) where randomization is impractical Fluency in Python and core data/ML libraries (pandas, NumPy, scikit-learn, PyTorch or TensorFlow), combined with solid software engineering practices (clean code, testing, version control, code ...

know when a customer needs a fast, bespoke answer, and when to build something others will keep using. Excellent SQL and production-aware Python, you write code other people can run, not just code that runs once and are experienced applying analytical and statistical methods to real business problems. Experience ...

prompt tuning techniques, grounded in measurable evaluation rather than guesswork. Prior experience with DSPy, GEPA, or similar is a plus. Backend & Infra Skills: Strong Python skills, with FastAPI for service development, Postgres (or similar) for data persistence, and comfort with event‐driven, async architectures. Working knowledge of ML frameworks (PyTorch ...

digital products.- Experience with localisation quality or testing across multilingual products, platforms, or regions.- Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java.- Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools.- Experience with APIs, structured data, system ...

tools in development : Comfortable using LLMs, coding assistants, and AI-powered tools to enhance productivity, debug code, generate documentation, and solve problems faster. Desired Python development proficiency: Strong ability to write automation scripts, diagnostic tools, and performance analysis scripts in Python. Shell scripting (Bash): For system-level automation and analysis. ...

Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing. Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++). Advanced SQL knowledge. Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring. Knowledge ...

management, or network-access control. Experience supporting isolated, air-gapped, export-controlled, or data-residency-restricted systems. Scripting and automation experience using PowerShell, Bash, Python, APIs, infrastructure as code, or configuration-management tooling. Familiarity with GitHub, Azure DevOps, CI/CD environments, and secure engineering workflows. Relevant certifications such ...

fluency in cloud security and compliance frameworks and how they constrain design in regulated industriesStrong automation background infrastructure as code (Terraform, CloudFormation, Bicep), scripting (Python, PowerShell), API-first integration, and CI/CD (Strong Automation Background)A track record of influence without authority across a global, matrixed organization and multiple ...