26 to 50 of 3,095 Python Jobs in London

outputs Key technical skills, knowledge and professional qualifications provided: Databases – has a deep understanding of relational databases Use DevOps methods and work in an Agile environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies More ❯

outputs Key technical skills, knowledge and professional qualifications provided: Databases – has a deep understanding of relational databases Use DevOps methods and work in an Agile environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies More ❯

optimize system performance using AI insights and recommendations. Qualifications AIOps Platforms : Familiarity with platforms such as Moogsoft, BigPanda, or IBM Watson AIOps. Programming : Proficiency in languages such as Javascript, Python, Java, and Bash. Cloud Native Expertise : Experience with Docker, Kubernetes, AWS, Google Cloud, or Terraform. Machine Learning : Understanding of machine learning concepts and frameworks. Problem-Solving : Strong analytical and problem More ❯

with ML engineers to optimise model serving and deployment infrastructure. Must Haves 5+ years of experience in fullstack software development. Strong expertise in server-side programming languages (we use Python). Proven experience designing and implementing RESTful APIs and microservices architectures. Proficiency in modern JavaScript/TypeScript and at least one major frontend framework (React, Vue.js, or Angular). Deep More ❯

to the Team 4+ years of experience in software engineering, with a proventrack record of developing high-performance commercial softwareand scalable services. Expertise in TypeScript and Node.js ; knowledge of Python is a plus. Experience working with SQL and/or NoSQL technologies like MySQL , MongoDB , and DynamoDB etc., graph databases like Neo4j is aplus. Solid understanding of cloud ecosystems : Azure More ❯

typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong More ❯

Strong knowledge of CI/CD automation using Azure DevOps, including Repos, Pipelines, and Artifacts Expertise in Infrastructure as Code with Terraform and Ansible, along with scripting in PowerShell, Python, or Bash Experience implementing GitOps workflows and managing platform SLAs, SLOs, and governance standards Familiarity with observability and monitoring tools including Prometheus, Grafana, Azure Monitor, DataDog, or Dynatrace Preferred experience More ❯

conceptualization, data handling, model development, and deployment. Proficiency in programming languages, including Python. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. Experience developing Python APIs using tools such as FastAPI. Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools. Familiar with ML CI/CD pipelines for development, testing, versioning, and task More ❯

and release management solutions Participate in the 24x7 support coverage as needed Education & Preferred Qualifications B.S/M.S.Degree 1 year as L3 Production Support analyst SQL Knowledge, Shell scripting, Python, Ansible ITIL Core/Must have skills Working knowledge in telemetry and triaging systems like Splunk, Dynatrace Managed, Geneos etc Strong Troubleshooting, Critical Thinking, Problem Solving, Analytical, Collaboration and Decision More ❯

products and services within their specialty domain including expertise that extends beyond the Rackspace portfolio. Knowledge modern software development practices with exposure to any language, Java, C#, Node.js, Scala, Python or GO preferred. Knowledge of building containerised applications and systems on modern container orchestration platforms. Knowledge of CI/CD pipelines with respect to serverless and container application preferred. Excellent More ❯

engineering, DevSecOps, application security, or related software engineering roles. Strong foundational knowledge of secure coding and OWASP Top 10 risks. Experience with at least one modern programming language (e.g., Python, Java, JavaScript, Go, or C#). Familiarity with cloud platforms (AWS, Azure, or GCP) and container technologies (Docker, Kubernetes). Exposure to security tooling such as SAST, SCA, or DAST More ❯

Your Story 5+ years of professional software development experience, with a solid understanding of backend systems and software design principles. Proficiency in at least one of the following languages: Python, Golang, Java. Experience with multiple languages is a plus. Familiarity with data pipeline tooling such as Airflow and DBT, and cloud data warehouses like Snowflake. Understanding of testing strategies, including More ❯

tools to support network operations (internal and external). Qualifications and Experience At least 5 years of experience within Software Engineering and proficient in one of the following: Golang, Python, Java or Node.js Passionate about SRE, DevOps, Automation, and infrastructure platforms. Must excel with agile and lean development practices and manage multiple priorities and multiple roles. BS Degree in Computer More ❯

data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

experience Technical skills: Confident user of MSTeams Strong applied experience in machine learning and/or data science roles Solid understanding of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks 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 ❯

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 ❯

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 ❯

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 ❯

to simplify complex issues Experience delivering secure, resilient, scalable cloud architectures (Azure, AWS, GCP) Hands-on with IaC tools (Terraform, Bicep, CloudFormation) and CI/CD pipelines Proficient in Python or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management) Familiar with Docker, Kubernetes, serverless, and event-driven architectures Comfortable working with both SQL and NoSQL More ❯

improvements to architecture practices. Technical Skills & Experience Must-have: Extensive experience designing and implementing enterprise-scale data architectures Proficiency in data integration and ETL processes. Advanced skills in SQL, Python, or equivalent programming languages. Strong knowledge of data governance, data security, and compliance frameworks. Expertise in Master & Reference Data Management and Data Quality best practices. Cloud-based architecture experience (AWS More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯