851 to 875 of 1,868 Python Jobs in the City of London

Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. Proficient in SQL, data integration (flat files, APIs, databases), ETL More ❯

customer and help them along their journey, allowing them to hit their customer goals and milestones, providing a good ROI. Tech experience required : Software development experience using Java, JavaScript, Python, C Sharp CI/Automation Technologies such as Appium, Selenium, Jenkins, Maven, TestNG, JMeter If the above sounds like you and you're excited about joining a global engineering/ More ❯

Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. Proficient in SQL, data integration (flat files, APIs, databases), ETL More ❯

cross-functional teams to integrate AI solutions into data ecosystems Must-Haves Strong background in Data Engineering at a senior level (typically 5+ years' experience) Expert-level SQL and Python skills Deep Snowflake experience - essential for fast ramp-up Proven hands-on GenAI implementation experience - deploying, managing, and monitoring AI solutions in production Solid understanding of AI model lifecycle and More ❯

and best practices within the wider team What They’re Looking For You’ve led the delivery of applied machine learning projects, ideally across commercial or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning More ❯

experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed More ❯

and best practices within the wider team What They’re Looking For You’ve led the delivery of applied machine learning projects, ideally across commercial or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning More ❯

experience What theyre looking for Experience in Solutions, Implementation, or Technical Customer Support roles within SaaS or data-led environments Confident working with data - Excel proficiency essential; SQL or Python familiarity a big plus Strong communication skills with both technical and non-technical stakeholders Proven track record of taking ownership, driving progress, and getting things live Comfortable working across presales More ❯

focused solutions. Share technical knowledge through reviews, pair programming, and presentations. Drive continuous improvement within Agile processes. What you’ll need Strong hands-on experience developing backend services in Python (any framework). Solid understanding of databases, OO design, data structures, and SOLID principles. Analytical mindset with a proactive approach to solving complex problems. Collaborative and communicative – comfortable working with More ❯

experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed More ❯

integrations. Excellent communication and stakeholder skills, able to explain data insight to non-technical users. Analytical mindset — able to approach problems logically and holistically, considering downstream impact. Experience with Python is desirable, but not essential. 🎯 What’s in it for you The chance to shape data processes within a well-known UK brand. Work with a modern Azure tech stack More ❯

Visualisation & Reporting Tools: Experience with tools like Power BI, Oracle BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced More ❯

lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI: Claude, Gemini, GPT (integrated for LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/AI experience. Strong background in working More ❯

managing cloud-hosted PostgreSQL at scale Proficiency in SQL optimisation, access control, and database security Experience with TimescaleDB and time-series data is a big plus Solid skills in Python, CI/CD pipelines, and automated testing (e.g. pg_tap, pytest) A collaborative approach and strong communication skills to engage cross-functional teams Why Join? Work on impactful projects in More ❯

Visualisation & Reporting Tools: Experience with tools like Power BI, Oracle BI Publisher, or Tableau for representing data profiling results. Scripting/Automation: Ability to automate DQ checks using Shell, Python, or other scripting tools is a plus. Understanding of Metadata Management Concepts: Helps in building reusable and sustainable DQ frameworks across different domains. Languages: English: C1 Advanced More ❯

lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI: Claude, Gemini, GPT (integrated for LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/AI experience. Strong background in working More ❯

building the next tech unicorn, together, in the same room, ask the big players. What you’ll need to succeed: Strong experience building production quality software (Java, TypeScript, or Python) Curiosity and adaptabilit y: you learn new technologies quickly and apply them effectively Hunger and drive: you’re comfortable working in ambiguous, fast paced environments Ownership mentality: you take full More ❯

and shaping practical, data- and AI-driven solutions, fast. You’ll have the autonomy to experiment with tools like Notion, Retool, Streamlit, n8n , and build lightweight MVPs yourself using Python, JavaScript, or low/no-code stacks . For complex builds, you’ll partner with engineers and data scientists, but the ideas, testing, prioritisation, and rollout? That’s you. Who More ❯

and shaping practical, data- and AI-driven solutions, fast. You’ll have the autonomy to experiment with tools like Notion, Retool, Streamlit, n8n , and build lightweight MVPs yourself using Python, JavaScript, or low/no-code stacks . For complex builds, you’ll partner with engineers and data scientists, but the ideas, testing, prioritisation, and rollout? That’s you. Who More ❯

technical leadership A strong academic foundation in a quantitative or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such More ❯

technical leadership A strong academic foundation in a quantitative or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such More ❯

performance data. Proven track record in building relationships with enterprise clients and turning insights into results. Confident communicator, equally comfortable engaging engineers and executive sponsors. Hands-on familiarity with Python, SQL, or similar tools a plus. RetailTech background is hugely advantageous Why Apply! You’ll be joining a scaling deep-tech company that’s redefining how AI operates within the More ❯

technical leadership A strong academic foundation in a quantitative or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such More ❯

technical leadership A strong academic foundation in a quantitative or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such More ❯

object detection/tracking (e.g., publications in CVPR, ICCV, or ECCV). Deep experience with modern vision architectures such as YOLO , Vision Transformers , and EVA . Strong command of Python and core ML libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Familiarity with MLOps practices and evaluation metrics (Accuracy, Recall, F1, IoU, etc.). Excellent communication and problem-solving skills More ❯