976 to 1,000 of 2,653 Python Jobs in the UK excluding London

as necessary to improve business insight and decision making Informa on Sharing: Support accessibility to key business data for senior management What You’ll Bring Technical ability • Relevant languages: Python, SQL etc. • Data Engineering/ETL skills: Pipeline Development: Airflow, Fabric, Azure, Logging, API Integra on: REST API, JSON Processing, Data Mapping, Validation & Quality Controls • Programs/Tech Stack: SSMS More ❯

equivalent experience). - Proven technical project management experience. - Knowledge of ISO 9001/27001, Linux, and collaboration tools (e.g., Confluence, Jira, Gitlab). - Advantageous: Defence sector experience, software development (Python, HTML/JS), hardware production knowledge. - Excellent communication, problem-solving, and organisational skills. - Able to obtain UK Developed Vetting security clearance. - Full UK driving licence and willingness to travel (UK More ❯

experience in Software Development using C++ - Proficiency working on Linux-based embedded platforms - Experience with real-time signal processing or data movement for sensor-driven systems - Experience in Node.js, Python & (SQLite is a bonus) - Solid understanding of software development life cycle in safety-critical or highly regulated industries If you are interested in longevity, career development & the opportunity to work More ❯

the team uses Power BI). Excellent communication skills with proven experience turning data into actionable insights (CV should include clear examples). Desirable Skills Experience with Databricks and Python (for data processing and automation). Background in finance or retail. Why Apply? This is an opportunity to work in a collaborative environment where your data skills will directly shape More ❯

STEM degree (Maths, Physics, Engineering, or similar) A-levels (or equivalent) at ABB minimum, with an A in Mathematics Excellent problem solving and communication skills Programming experience is beneficial (Python, SQL etc) An interest in the Tech sector Apply Now More ❯

the team uses Power BI). Excellent communication skills with proven experience turning data into actionable insights (CV should include clear examples). Desirable Skills Experience with Databricks and Python (for data processing and automation). Background in finance or retail. Why Apply? This is an opportunity to work in a collaborative environment where your data skills will directly shape More ❯

the team uses Power BI). Excellent communication skills with proven experience turning data into actionable insights (CV should include clear examples). Desirable Skills Experience with Databricks and Python (for data processing and automation). Background in finance or retail. Why Apply? This is an opportunity to work in a collaborative environment where your data skills will directly shape More ❯

the team uses Power BI). Excellent communication skills with proven experience turning data into actionable insights (CV should include clear examples). Desirable Skills Experience with Databricks and Python (for data processing and automation). Background in finance or retail. Why Apply? This is an opportunity to work in a collaborative environment where your data skills will directly shape More ❯

improvement of current ones. Technical Skills & Experience Required: Experience programming embedded systems in C or C++ Proficiency in C/C++ coding practices Familiarity with scripting languages such as Python Experience designing multi-threaded and/or multi-process embedded systems Understanding of synchronization issues in embedded development Basic knowledge of Microsoft Windows OS and Office applications Familiarity with communication More ❯

skills and experience with reporting tools (SSRS, Power BI Report Builder). Familiarity with Tableau and Power BI. Excellent problem-solving skills and attention to detail. Bonus: Experience with Python and/or Databricks. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable More ❯

to development, trials, and in-service enhancement. Focus areas include navigation , guidance , tracking , sensor/data fusion , and machine learning . Key requirements: Proficiency in MATLAB and/or Python for algorithm development and simulation Degree or PhD in a technical discipline such as Aerospace Engineering , Control Engineering , Mathematics , or Physics Experience in one or more of: Autonomous decision-making More ❯

workflows to improve consistency and efficiency Required experience: Hands-on experience operating or supporting security operations tools (e.g. detection, response, log collection). Scripting or automation experience (e.g. PowerShell, Python, or Bash). Solid understanding of networking concepts (e.g. TCP/IP, DNS, firewalls, proxies). Working knowledge of both Linux and Windows systems, especially in relation to logging and More ❯

improvement of current ones. Technical Skills & Experience Required: Experience programming embedded systems in C or C++ Proficiency in C/C++ coding practices Familiarity with scripting languages such as Python Experience designing multi-threaded and/or multi-process embedded systems Understanding of synchronization issues in embedded development Basic knowledge of Microsoft Windows OS and Office applications Familiarity with communication More ❯

and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance More ❯

and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance More ❯

modelling projects such as incrementality testing, market mix modelling and propensity modelling. SKILLS + EXPERIENCE Must haves: Web analytics experience - Google Analytics 4 or Adobe Analytics Some SQL or Python experience in a working environment e.g. internships or placement years STEM degree with a minimum of a 2:1 Dashboarding/reporting experience - any tool, e.g. Power BI, Tableau, Looker More ❯

Experience with Power BI and Excel Strong analytical skills, able to translate data into insights for decision-making Interest in real estate, investment, or financial analytics Bonus: exposure to Python, GCP, or experience productising data How To Apply Please apply via the link on this website More ❯

and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance More ❯

and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance More ❯

Experience with Power BI and Excel Strong analytical skills, able to translate data into insights for decision-making Interest in real estate, investment, or financial analytics Bonus: exposure to Python, GCP, or experience productising data How To Apply Please apply via the link on this website More ❯

Experience with Power BI and Excel Strong analytical skills, able to translate data into insights for decision-making Interest in real estate, investment, or financial analytics Bonus: exposure to Python, GCP, or experience productising data How To Apply Please apply via the link on this website More ❯

or similar experience Extensive knowledge of machine learning and statistical methods for predictive modelling and forecasting. Advanced SQL skills and deep experience in data wrangling and manipulation. Proficient in Python, with strong understanding of relevant libraries. Proven track record of leading delivery across a range of data-driven projects. Comfortable working cross-functionally in a collaborative, fast-paced environment. Company More ❯

validation of pricing models cross asset classes, with a focus on derivatives. Assess the conceptual soundness, implementation correctness, and ongoing performance of pricing and valuation models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. More ❯

validation of pricing models cross asset classes, with a focus on derivatives. Assess the conceptual soundness, implementation correctness, and ongoing performance of pricing and valuation models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. More ❯

validation of pricing models cross asset classes, with a focus on derivatives. Assess the conceptual soundness, implementation correctness, and ongoing performance of pricing and valuation models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. More ❯