1 to 25 of 2,635 Permanent Python Jobs in London

Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile ...

Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile ...

Working closely with clients and multidisciplinary teams to solve complex data challenges What We’re Looking For Commercial experience delivering Data Engineering solutions Strong Python and SQL skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines Hands‐on experience with ...

level and we are looking for data engineers who have a variety of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development ...

business problems into delivered analytical outcomes. Desirable Requirements Experience working in a Lloyd's syndicate, managing agent, London Market broker or specialty (re)insurer. Python for data analysis (pandas/notebooks). Hands-on experience applying AI/LLM tooling to analytics work. Experience with Microsoft Fabric, dbt, Azure DevOps ...

delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with ...

delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands-on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with ...

privacy controls Strategic thinker with curious mindset and strong problem-solving skills Ability to communicate complex concepts in a clear, concise manner Languages: Terraform, Python, SQL, PowerShell. CI/CD: Azure DevOps pipelines for data platform deployments. Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow. Azure: ADLS Gen2, Azure ...

roadmap: track delivery of quick-wins, report progress on mid-term initiatives, and flag risks or dependenciesTECHNICAL SKILLS & EXPERTISEStrong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelinesDashboard development: Power BI (preferred), Tableau, Grafana, or equivalent BI tools — building ...

machine learning Deep expertise in AWS services, including S3, Lambda, Glue, and Snowflake Experience designing scalable and cost-efficient data architectures Proficiency in Python, including modularization and production-ready code for data transformations, automation, and workflow orchestration Expert-level SQL skills, including query optimization, performance tuning, stored procedures, and database ...

GitLab CI/CD, Azure DevOps, or Bamboo. Experience with containerization and orchestration technologies, including Docker and Kubernetes. Proficiency in scripting and automation using Python, Bash, PowerShell, or similar languages. Experience with configuration management tools such as Ansible, Puppet, or Chef. Knowledge of monitoring, logging, and observability platforms such ...

Kafka (producers, consumers, and stream processing), and a solid working knowledge of AWS cloud services including S3, Lambda, EC2, RDS, and Glue. Proficiency in Python is also required. Beyond core languages and platforms, the ideal candidate will have practical experience with the following: ETL tools and data pipeline frameworks ...

practices and AI tooling.**Required Qualifications & Skills*** Extensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment.* Hands-on experience building and deploying AI or Machine ...

Integration & Data API‐ and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event‐driven systems APIs & Integration: REST/gRPC; Apigee, Kong Data ...

also helped build, ideally in insurance, reinsurance or wider financial services.* **Technical Stack:** Current, practical programming skills, ideally in C#/.NET or Python, with strong SQL, working knowledge of modern UI frameworks such as React or Angular with TypeScript, and hands-on experience with infrastructure-as-code (Terraform ...

Experience working with or within the public sector Familiarity using AI tools to enhance the quality & pace of your output Technologies we love Languages: Python, Spark, SQL Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker, Terraform, Datadog Datastores: Databricks, OpenSearch, Postgres Equal Opportunity Statement At Altana, we believe that ...

successful in this role, you will need a blend of the following engineering and data science capabilities: Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular). Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce ...

developing full stack applications using modern front-end and back-end technologies. Strong programming skills in languages such as JavaScript/TypeScript, Java, C#, Python, or Node.js. Experience with front-end frameworks such as React, Angular, or Vue.js. Experience building and consuming RESTful APIs and microservices. Knowledge of software engineering ...

implementing AI-driven solutions Excellent problem-solving skills and the ability to design and optimize data architectures Strong programming skills in languages such as Python, Scala, or Java Experience with data quality, data governance, and data security best practices Excellent communication and collaboration skills, with the ability to work effectively ...

client-facing team Nice to Have Prior consulting or client-facing delivery experience Familiarity with dbt, Fivetran, Matillion, or similar tooling Programming in Python, Java, or Scala Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP) Exposure to DataOps, CI/CD, and infrastructure-as-code Benefits Hybrid/ ...

design patterns. Provide developer experience tooling, documentation and support for data scientists and software engineers. Required Skills & Experience Strong software engineering skills in Python and/or Java/Scala, with clean coding, testing and code review practices. Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex ...

quantitative modelling, software engineering, or applied research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience ...

quantitative modelling, software engineering, or applied research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience ...

Strong experience with Infrastructure as Code (IaC) practices. Advanced hands-on experience with Terraform . Advanced experience with Ansible . Strong scripting skills using Python , PowerShell or Bash. Experience working with Git-based development workflows (GitHub, GitLab or similar). Strong understanding of CI/CD pipelines and DevOps methodologies. ...

code reviews. Skills & Experience: Strong commercial experience with Ruby and Ruby on Rails. Mandatory professional experience with other backend technologies, such as Node.js, Python, Java, or .NET. Strong experience with PostgreSQL/MySQL and database optimisation. Experience with REST APIs, microservices, and distributed systems. Experience with Redis, Kafka, RabbitMQ ...