1 to 25 of 735 Remote/Hybrid Python Jobs in the UK excluding London

Architecture: Deep knowledge of API architecture and design, with a primary focus on REST. Experience with GraphQL is beneficial. Programming: Senior‐level knowledge of Python (OOP, APIs, asyncio, scientific libraries) and SQL (experience with tools like Trino and dbt is highly valued). Engineering Best Practices: A commitment to writing ...

datasets from different sources. Good communication and teamwork skills. Experience with cloud data platforms such as Databricks or Snowflake on AWS. Strong skills in Python, PySpark, and SQL. Good understanding of ETL/ELT pipelines and data transformation. Experience with data modelling and database optimisation. Strong knowledge ...

frameworks Collaborate with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python, SQL, Spark (and ideally Scala) Hands-on delivery of ML solutions in production Exposure to cloud platforms (AWS, Azure, or GCP) Understanding of DevOps, containers ...

modern Microsoft cloud data platforms * Exposure to Azure DevOps, Git, or CI/CD tooling * Experience with ERP or enterprise operational systems * Exposure to Python or additional data transformation tooling For further information on this job, or any other Data, BI, or Analytics jobs in Belfast or Northern Ireland, apply ...

Expertise: Proven experience with core AWS services (VPC, EC2, S3, IAM, RDS) and cloud management. Scripting & Programming: Proficiency in at least one language (e.g., Python, Bash, or Go) to automate operational tasks. Configuration Management: Experience with tools such as Ansible, Puppet, or Chef. Version Control: Strong knowledge ...

data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting. Infrastructure Tools: Experience with containerization and orchestration ...

improvement About the Candidate The right Data & ML Engineer should have: Experience in data engineering, machine learning or applied AI roles Strong skills in Python and SQL, with exposure to big data or ML frameworks Experience working with cloud platforms such as Azure, AWS or GCP Understanding of CI/ ...

team members and contributing to continuous improvement initiatives Main Skills Needed: Strong experience with Linux administration (e.g. Ubuntu) and Windows environments Proficiency in scripting (Python, Bash, PowerShell or similar) Hands-on experience with DevOps and automation tools (e.g. Ansible, Terraform, CI/CD, Git) Knowledge of cloud platforms such ...

Experience building ETL/ELT pipelines using tools such as dbt, Fivetran, Matillion, Azure Data Factory, or Airflow. Experience working with Azure. Familiarity with Python or Scala for data processing and automation. Experience with BI and visualisation tools such as Power BI, Tableau, or Looker. Understanding of data warehousing concepts ...

picture and ensuring the best outcomes for our stakeholders by providing straightforward but robust solutions. Key technical skills : Strong knowledge and deep experience of Python programming, libraries and toolchains Familiarity with large language models (LLMs) like GPT, Gemini, and open-source models such as Lama and MRR Solid understanding ...

insight & meaningful business outcomes. Strong T-SQL skills. Experience with SSRS and SSIS. Understanding of dimensional modelling techniques (e.g., Kimball). Advanced proficiency in Python or another analytical language. Cloud experience, ideally Snowflake. Use of AI within analytics workflows. Strong data storytelling and insight communication abilities. Ability to scope, design ...

deploying large language models and agent-based AI workflows. Cloud AI (AWS/Azure): Experience delivering AI or ML solutions in production cloud environments. Python: Strong capability in developing production-quality AI/ML code. LLMOps & AI Model Management: Familiarity with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar ...

based data platforms (GCP Cloud SQL, PostgreSQL, AlloyDB, Spanner, Cassandra, Firestore, Bigtable, or BigQuery) is desired.* Scripting & Automation: Familiarity with scripting languages (such as Python, Bash, or PowerShell) and the ability to read, modify, or write basic scripts to help automate operational tasks.* Infrastructure Tools: Experience with containerization and orchestration ...

version control systems (Git, Mercurial etc.) • Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps etc.) • Strong scripting ability (e.g. Python, Shell, PowerShell) • OCI container build, management and orchestration (Docker, Podman, Kubernetes, LXC etc.) • Artifact and dependency management and deployment • Familiarity with networking fundamentals including ...

hybrid environments, translating business needs into actionable designs, incorporating security best practices from day one. Hands‐On Delivery: Prototype, integrate, and deploy solutions using Python, Terraform, GitHub/Gitlab, docker, Kubernetes and other modern cloud‐native tools. Technical Leadership: Lead technical delivery teams, mentor junior engineers, and ensure quality across ...

will have a proven ability to design and build scalable, secure data pipelines and lakehouse architectures, supported by strong programming skills, for example Python and SQL, with Spark experience desirable. You will have expertise working within DevOps CI/CD environments using Azure DevOps and a solid understanding of data ...

look for Engineers with a mix (but not all!) of the below: Proficient with one or more programming languages such as: Python, SQL, C#, JavaScript etc. Experience designing and implementing data solutions in the cloud, e.g. Azure (preferred), AWS or GCP. Experience working with and manipulating structured & unstructured data. Experience ...

over time. Essential Experience & Skills Experience in QA automation, SDET, or software engineering roles Strong programming skills in at least one of: C#, Java, Python, or JavaScript/TypeScript Experience with API testing (e.g. REST) and UI automation tools (e.g. Playwright or similar) Understanding of CI/CD pipelines ...

Fabric and Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data modelling, DAX, Python/PySpark, SQL/KQL. Proven record of technical leadership and effective stakeholder engagement. Design and deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses ...

Infrastructure-as-Code Collaborate with analytics and AI teams to deliver clean datasets What were looking for Strong programming skills in Java (preferred) or Python Experience with streaming technologies (Kafka/Flink/Spark) Knowledge of distributed systems and large-scale data processing Experience with cloud platforms (AWS preferred) Familiarity ...

initiatives Mentor junior team members and support collaborative team delivery Requirements Proven experience in analytics, data science, research, or decision intelligence roles Experience with Python, R, SQL Strong mathematical background and experience with classical statistical methods (inference, hypothesis testing, regression, etc.) Financial services or consulting background preferred Strong analytical ...

SSRS, Tableau, or Power BI * Strong analytical and problem-solving skills * Good communication skills and attention to detail Nice to have: * Experience with Python, R, C# and Cloud platforms * Exposure to NLP, or AI-driven data extraction * Experience within financial services or regulated environments Interested? If you enjoy solving complex ...

senior stakeholders to translate business needs into technical roadmaps What were looking for Strong experience in data architecture & large-scale systems design Expertise across Python, SQL, Spark, Scala Deep knowledge of AI/ML frameworks and modern data platforms Experience with cloud-native architecture and DevOps (Kubernetes, Terraform, CI/ ...

systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering ...

Strong SQL skills with experience querying large, complex datasets. Hands-on experience with BI tools such as Power BI, Tableau, or Looker. Experience using Python for data analysis and manipulation. Familiarity with cloud-based data platforms such as AWS, Azure, or GCP. Desirable Skills Experience working with product analytics, customer ...