1,476 to 1,500 of 4,254 Python Jobs in the UK

Prompting Methods. First-author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and More ❯

freedom to govern your own tasks and spend time on new developments and research. The candidate: Good fundamentals and some experience in Software Engineering 2+ years experience with either Python or Golang - opportunity to learn Golang if you wish! An understanding of system design, data structures, DevOps, Cloud algorithms Test coverage is as important as the code itself Interested in More ❯

re Looking For 3+ years experience in SOC/NOC Environments Strong experience with SIEM - IBM QRadar . Experience with log parsing, KQL/SPL/AQL, and scripting (Python, PowerShell). Solid understanding of threat detection, incident response, vulnerability management, and penetration testing . Familiarity with frameworks such as MITRE ATT&CK, NIST, and CIS . Strong communication and More ❯

Ideally degree educated in Computer Science, Data Engineering, or a related field * Experience as a Data Engineer, ideally within a customer service or contact centre environment * Knowledge of SQL, Python, and data pipeline development * Skilled in Google Cloud Platform (GCP) and cloud data tools * Background in CRM systems and customer data structures * Understanding of data warehousing concepts and cloud architecture More ❯

We're Looking For: Experience in managing databases like MongoDB, Oracle, etc. Comfortable with Linux (RHEL) and/or Windows Server Exposure to cloud platforms (e.g., AWS) Scripting skills (Python, Bash) Knowledge of monitoring tools (OEM, Nagios) and replication solutions Familiarity with clustering, backup, and disaster recovery methods Qualifications: Degree in a relevant field or equivalent experience Proven infrastructure and More ❯

RingCentral . Proven track record of leading engineering teams , balancing service stability with transformation. Strong background in automation and Infrastructure as Code (IaC) , with knowledge of tools such as Python, Jenkins, Harness, Ansible, Terraform, Docker. Excellent communication skills with the ability to influence both technical and business stakeholders. Experience building roadmaps, addressing technical debt, and aligning team capabilities to future More ❯

RingCentral . Proven track record of leading engineering teams , balancing service stability with transformation. Strong background in automation and Infrastructure as Code (IaC) , with knowledge of tools such as Python, Jenkins, Harness, Ansible, Terraform, Docker. Excellent communication skills with the ability to influence both technical and business stakeholders. Experience building roadmaps, addressing technical debt, and aligning team capabilities to future More ❯

banks Training budget Genuine career progression opportunities Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data More ❯

in an analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with More ❯

in an analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with More ❯

leading Data Engineering teams Strong technical background (5+ years) in building scalable data platforms Excellent communication and stakeholder management skills Hands-on experience with modern data tools and technologies — Python, SQL, Snowflake, Airflow, dbt, Spark, AWS, Terraform A collaborative mindset and a passion for mentoring and developing others Comfortable balancing technical decisions with business needs Nice to have: experience with More ❯

in an analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with More ❯

in an analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with More ❯

in an analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with More ❯

AI/ML concepts. Comfortable working in agile, fast-paced environments with version control/DevOps tools. Confident communicator with clear documentation skills. Nice to have Familiarity with C#, Python or scripting for automation. Knowledge of other automation technologies (Power Automate, PowerShell, etc.). Understanding of IT infrastructure (networking, cryptography, databases). Experience coaching junior developers or contributing to training More ❯

similar actuarial modelling systems.* Strong understanding of ALM principles, including asset classes, liability structures, matching and hedging strategies, and market risk.* Experience with programming or scripting languages such as Python, SQL, R, or VBA would be an advantage.* Familiarity with relevant regulatory frameworks (e.g., Bermuda, Solvency II) beneficial.* Excellent analytical skills, attention to detail, and the ability to manage multiple More ❯

or API engineering Proficiency in SQL and at least one of: PostgreSQL , SQL Server , or Oracle Familiarity with RESTful APIs , JSON/XML , and data transformation scripting (e.g., JavaScript, Python, XPath) Experience with integration engines is a plus - but not essential Understanding of data standards is desirable but can be learned on the job Agile/DevOps mindset with experience More ❯

practice. Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Recent UK Defence Security Clearance (SC) would be of interest but is not essential. Keywords - Senior Analyst, Defence, MOD, Python, VBA, PowerBI, SharePoint, Microsoft365, PowerApps, Power BI ,Advanced Excel, Data Analysis Senior Analyst – Defence, MOD More ❯

following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in More ❯

stakeholders to align data initiatives with business goals. What you'll need to succeed Proven experience in a senior or lead data science role Strong hands-on skills in Python and SQL Solid experience with Machine Learning, AI, and Large Language Models (LLMs) Previous people management experience (ideally managing Analysts/Data Scientists) Ability to implement and improve data science More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯

survey or behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical More ❯

survey or behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯