176 to 200 of 2,936 Python Jobs in the UK

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 ❯

and analysis. Experience with serverless applications, containerisation (e.g. Docker) and CI/CD. Experience in managing cloud services like Google Cloud and AWS. Bonus points Startup experience Experience with Python web services (e.g. FastAPI, Django). Data engineering experience using PyData stack technologies (e.g. NumPy, Pandas, etc.) Experience building machine learning systems with LLMs, RAGs utilising embeddings. Technology Frontend: Typescript 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 ❯

language processing expertise, and some experience of using and manipulating LLM in data science projects. can work confidently with at least one common language used for manipulating data (e.g., Python, R) and familiar with LLM libraries (e.g., langchain) has some understanding of generative AI technologies in terms of training and fine-tuning language models and regarding good Prompt Engineering has 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 ❯

Microsoft SQL Server, Oracle, SQLite). Awareness of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks etc.) Experience with at least one programming language such as Python, Java, or Scala. Familiarity with ETL frameworks and tools Expertise in data modelling, data warehousing concepts, and techniques. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and More ❯

data visualisation and storytelling — able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C-suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or 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 ❯

datasets from tech platforms, e-commerce, or SaaS products. Experience in use of behavioral data and AI/ML methods to develop intelligent data-driven product features Experience in Python, R & SQL for data manipulation, modelling and scripting Experience with cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data More ❯

Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience with MLOps Collaborative, proactive, logical, methodical, and attentive to detail Excellent communication skills (verbal and written More ❯

communication skills. You may also have: Experience implementing solutions using Azure data platform, particularly the use of data flows and source system connectors via Azure Data Factory. SQL and Python programming skills, along with a good understanding of Machine Learning techniques Experience using data platforms such as Databricks and Snowflake Experience of scripting languages such as Javascript, R, Powershell or More ❯

mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in Python and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, and OpenAI/Anthropic APIs. Familiarity with DevOps & tooling (Git, CI/CD, API integration), front-end & visualization (Streamlit More ❯

the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI. Key Skills/Experience: Engineering Foundations: Strong proficiency in Python and robust software engineering principles, with experience operating as part of engineering teams. Generative AI & RAG: Proven experience working with LLMs and designing Retrieval-Augmented Generation (RAG) architectures, including knowledge More ❯

solving and communication skills, with the ability to work effectively in collaborative teams. Exposure to agile delivery methods. Experience with other development languages or frameworks such as JavaScript, Java, Python, or .NET - or a strong willingness to learn and adapt to new technologies as required. Qualifications & Certifications Salesforce Platform Developer I - Required Salesforce Platform Developer II - Desirable Other Salesforce certifications More ❯