46 to 70 of 2,764 Python Jobs in London

skills, including T-SQL and exposure to relational database technologies. Proven ETL experience, with SSIS being essential. Experience with scripting languages such as Python or PowerShell. Strong understanding of data modelling, warehousing concepts, and dimensional modelling. Experience working with cloud platforms such as Azure and/or AWS. Knowledge ...

practices. Support the deployment of computer vision systems into customer environments. Essential experience Strong commercial experience developing deep learning solutions for computer vision. Excellent Python development skills. Commercial experience using PyTorch. TensorFlow experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying ...

such as Cilium and eBPF, and event streaming infrastructure, Kafka, ideally via Strimzi. Secrets management, PKI and identity using Vault or Keycloak; scripting in Python, Bash or Go; and a defence, government or regulated sector background. CONTRACT TERMS AND CLEARANCE £400 to £500 per day, depending on experience and clearance ...

core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc). Strong analytical and problem-solving skills, with the ability to approach complex challenges in a structured manner. Excellent communication and interpersonal skills ...

/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands‐on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows and other ...

privacy, bias/fairness and emerging regulations. Machine Learning Mastery – profound understanding of ML principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization ...

/Skills Significant experience leading the design, development, and operation of enterprise‐scale data engineering platforms and teams. Strong technical expertise in SQL and Python, PySpark, or equivalent technologies for data ingestion, transformation, and validation. Experience with Microsoft Fabric or similar modern cloud‐based analytics and data platforms. Strong experience ...

interested in hearing what you can bring to the role. Technical and Data Solid data analysis and transformation skills, using modern analysis languages (SQL, Python, R) within a cloud-based data environment Experience working with both exploratory (notebook-based) and production code Experience with data engineering principles and cloud based ...

temporal data and/or sequential modeling Excellent communication skills with the ability to communicate concepts clearly and precisely Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES Experience as a Data Architect ...

including networking, IAM and storage Proficiency with Terraform (ideally the Databricks provider) and Gitbased CI/CD workflows Solid programming skills in Python and SQL; comfortable with PySpark and shell scripting Experience tuning Spark jobs and Delta tables (partitioning, Working knowledge of SSO/SCIM, identity providers and secretsmanagement Understanding ...

tracing, metrics, and feedback loops to continuously improve reliability and utility. Required qualifications, capabilities and skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed ...

resolve complex testing infrastructure issues Required Qualifications 5+ years of software engineering experience with a focus on automation and testing infrastructure Expert proficiency in Python and TypeScript Extensive experience with GitHub workflows and actions Deep understanding of testing methodologies and best practices Experience building and maintaining CI/CD pipelines ...

. Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data ...

Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/ ...

attribution and risk. Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field. Advanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms. Strong communication skills, with the ability to explain complex concepts clearly to technical ...

modern cloud platforms such as AWS, Azure or GCP , including cloud-native data services. Proven experience with data engineering technologies such as Snowflake, SQL, Python, dbt and orchestration frameworks. Strong knowledge of data modelling, data quality, lineage, metadata management, reconciliation and data governance. Experience implementing secure data solutions, including GDPR ...

experience working collaboratively across Development, Applications, Security and Infrastructure teams to deliver secure and performant cloud environments. Practical coding and scripting capability using PowerShell, Python, Azure CLI or equivalent command-line tooling to support operational automation. Strong hands‐on experience with Microsoft Azure serverless and PaaS services, including Azure Functions ...

/CD, modern SDLC, TDD, and code review. Data: Working with relational, columnar, and vector stores, grounded in sound data-modelling principles. Languages: Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs. Mentoring: Developing skills in mentoring engineers through pair programming and day-to-day collaboration. Communication: Clear written ...

search Enterprise search Document ingestion Knowledge graphs (advantageous) Integration APIs Event-driven architectures Microsoft ecosystem ServiceNow CRM/ERP integration Identity management Software Engineering Python REST APIs Git CI/CD Containers Infrastructure as Code Testing AI systems Platform Engineering Kubernetes Azure AI Foundry Databricks Microsoft Fabric Snowflake MLOps/ ...

Play framework Experience with eCommerce Experience with event-driven architectures, preferably using Kafka Experience in using production AWS infrastructure, ideally with Terraform Experience with Python Experience with data engineering A genuine curiosity about AI and a willingness to explore how it can enhance your day-to-day work Additional Information ...

through consoles Expertise with Kubernetes, Docker and containerised systems, and experience deploying microservice-based applications on them Confidence in one or more scripting languages (Python, Bash, etc.) and with Linux-based operating systems (Ubuntu, RHEL, etc.) Proven ability to take initiative in a fast-paced environment, and to leave systems ...

than consuming a cluster someone else runs. Infrastructure as code: Strong Terraform, and production experience on AWS. GCP or Azure alongside it is welcome. Python: Solid enough for real automation and operational tooling, with sound engineering practice around it. Pipelines: Built and maintained CI/CD with GitHub Actions, GitLab ...

Experience mentoring, coaching, and developing engineers, fostering an inclusive, collaborative, and high‐performing team culture. Strong hands‐on scripting and development experience, particularly with Python including API integrations and workflow automation. Experience building and maintaining security capabilities in public cloud environments, with practical expertise in AWS and/or Microsoft ...

interested in hearing what you can bring to the role. Technical and Data Solid data analysis and transformation skills, using modern analysis languages (SQL, Python, R) within a cloud-based data environment Experience working with both exploratory (notebook-based) and production code Experience with data engineering principles and cloud based ...

team productivity. Qualifications Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent). Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding ...