176 to 200 of 2,907 Python Jobs in the UK

Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think critically More ❯

designing and optimising prompts for LLMs such as ChatGPT, Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency. Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs. Understanding of workflow automation More ❯

AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground up. A More ❯

Elasticsearch (ELK Stack) . Solid understanding of Kibana , Elasticsearch Watcher , and observability tooling. Proficiency in Linux/Unix systems and networking protocols . Hands-on experience with Scripting (eg, Python, Shell/Bash). Experience supporting or working alongside DevOps/SRE teams . Strong analytical, troubleshooting, and communication skills. Desirable: Experience with containerized environments such as Docker or Kubernetes More ❯

and grow your expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to More ❯

Filesystem management(LVM, ext4, XFS, ZFS) Performance tuning and monitoring(top, vmstat, iostat, sar, netstat) Exposure to automation software such as Ansible/Puppet Knowledge of scripting with Bash, Python, and/or Git Experience of AWS Automation tools(Ansible, Puppet, Chef) Virtualization and containers(KVM, VMware, Docker, Podman) What we will do for you: Competitive compensation Pension scheme DXC More ❯

engineering standards and best practices across the team. What You'll Need to Succeed Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake. Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid understanding More ❯

on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. More ❯

experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation More ❯

experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation More ❯

on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric What We're Looking For Experience Significant commercial experience of Data Engineering with years delivering production workloads More ❯

in Salesforce API integration (REST, SOAP, Platform Events). Demonstrated experience in Agile and DevOps frameworks. Hands-on experience with infrastructure-as-code (IaC) and scripting languages such as Python or Shell. Experience with microservices architecture, integration/middleware, source control, CI/CD deployment, and security. Salesforce certifications such as Salesforce DevOps Specialist, Salesforce Administrator, or Salesforce Platform Developer. More ❯

in Salesforce API integration (REST, SOAP, Platform Events). Demonstrated experience in Agile and DevOps frameworks. Hands-on experience with infrastructure-as-code (IaC) and scripting languages such as Python or Shell. Experience with microservices architecture, integration/middleware, source control, CI/CD deployment, and security. Salesforce certifications such as Salesforce DevOps Specialist, Salesforce Administrator, or Salesforce Platform Developer. More ❯

years of experience in software development, or strong skills shown in a project portfolio. Good knowledge of .NET development and modern software development patterns and practices. Proficiency in C#, Python, .NET 8.0+, Entity Framework. Experience with SQL Server, T-SQL, DML, DDL, and stored procedures. Familiarity with NoSQL databases (especially Redis or equivalents). Experience with Kubernetes/Docker. Unit More ❯

leading a small team of software developers and quality assurance engineers Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum certification Experienced in working with More ❯

mentoring testers and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous consultancy or professional services experience. Hands-on experience with additional programming languages like Python, Ruby, Scala, or PHP. Exposure to cloud platforms and infrastructure-as-code within test environment. Whats in It for You? We reward leadership and initiative with a package that reflects More ❯

willingness to learn and be a keen team player have experience of writing and taking responsibility for technical documentation Tools and Technology Java (or object orientated equivalent e.g. C#, Python) AWS CI/CD TDD/BDD Jira Confluence Experience A degree in Computer Science, Software Engineering, or a related field or similar work-based experience. Proven experience as a More ❯

with a focus on cloud-based data pipelines and architectures Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management Proficiency in Python, SQL, Scala, or Java Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory Strong understanding of data architecture principles, data modelling, and data governance More ❯

or Katalon . Proficiency in performance testing tools like JMeter, Gatling, K6, Neoload, or Webload . Strong coding skills in at least one language such as Java, TypeScript JavaScript, Python, C#, , Scala, or PHP. Experience designing and building automation frameworks . Familiarity with Agile development environments (SCRUM, Kanban, TDD, BDD). Implementing pipelines using common tooling such as Jenkins, ADO More ❯

consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how you feel when youre with us. Because More ❯

Experience in utilities or financial services is preferred. Knowledge of collections and credit risk is advantageous. A degree (or equivalent experience) in a data-focused subject, with skills in Python or R as a nice-to-have for data modelling and visualisation. What’s in it for you? Competitive salary from £48,000 to £55,000 per annum. 26 days More ❯

data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster More ❯