126 to 150 of 337 Python Jobs in the City of London

of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML More ❯

of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML More ❯

for commercial strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation More ❯

a strong product mindset Experience working closely with product teams and designing for real users Strong frontend skills (JavaScript/Typescript, React/Angular, HTML) and backend expertise (Node.js, Python) Proven experience in API design and system integration Proficiency with Microsoft Azure and familiarity with databases, IAM, containers, and deployment tools Comfortable with rapid prototyping tools (e.g., Figma) Solid understanding More ❯

PhD) in Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven More ❯

Experience working in Networks or IT network transformations Proven track record of delivering high quality code and leading development squads Key skills Netconf, API's, XML, JSON, Jinja 2, Python, JavaScript Cisco NSO, Ansible, Net Miko, Docker Workflow automation Itential IAP, Appian, Resolve Knowledge of telecom networks, technologies, and standards e.g TMF/Tosca/MEF YANG/TOSCA for More ❯

Experience working in Networks or IT network transformations Proven track record of delivering high quality code and leading development squads Key skills Netconf, API's, XML, JSON, Jinja 2, Python, JavaScript Cisco NSO, Ansible, Net Miko, Docker Workflow automation Itential IAP, Appian, Resolve Knowledge of telecom networks, technologies, and standards e.g TMF/Tosca/MEF YANG/TOSCA for More ❯

Services/Banking sector. Deep understanding of SDLC, systems integration, and data warehousing. Ability to gather requirements and liaise effectively with business stakeholders. Desirable Skills Cloud (AWS/Azure), Python, PowerShell, APIs. Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/CD, GitHub, Control-M, dbt/Databricks. This More ❯

of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g. More ❯

create meaningful insights from both internal and external data sources. Excellent communication and stakeholder management skills. Nice-to-haves: Background in insurance, financial services, or market research. Experience with Python for statistical analysis. Advanced Power BI skills. More ❯

create meaningful insights from both internal and external data sources. Excellent communication and stakeholder management skills. Nice-to-haves: Background in insurance, financial services, or market research. Experience with Python for statistical analysis. Advanced Power BI skills. More ❯

with data. Knowledge of financial statements, credit metrics, or counterparty risk. Excellent communication skills and a collaborative mindset. Desirable skills: Exposure to crypto, blockchain, or fintech. Experience with SQL, Python, or other data analysis tools. Familiarity with wholesale markets or institutional counterparties. Why Apply? Be part of a fast-growing fintech that’s shaping the future of institutional digital assets. More ❯

with data. Knowledge of financial statements, credit metrics, or counterparty risk. Excellent communication skills and a collaborative mindset. Desirable skills: Exposure to crypto, blockchain, or fintech. Experience with SQL, Python, or other data analysis tools. Familiarity with wholesale markets or institutional counterparties. Why Apply? Be part of a fast-growing fintech that’s shaping the future of institutional digital assets. More ❯

from start-up to scale-up. The Role: Managing the portfolio and data flow for both internal and external stakeholders Improving our Business Intelligence by developing in SQL and Python Analysing and visualizing data in QuickSight Collaborating with stakeholders to understand business goals and translate them into data services Technical sign-off of communications and regulatory documents Focus on models More ❯

from start-up to scale-up. The Role: Managing the portfolio and data flow for both internal and external stakeholders Improving our Business Intelligence by developing in SQL and Python Analysing and visualizing data in QuickSight Collaborating with stakeholders to understand business goals and translate them into data services Technical sign-off of communications and regulatory documents Focus on models More ❯

with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or other data analysis tools. Previous exposure to CRM systems (Salesforce, HubSpot) or SaaS platforms. What We Offer A clear career path with mentoring and training tailored for graduates. More ❯

with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or other data analysis tools. Previous exposure to CRM systems (Salesforce, HubSpot) or SaaS platforms. What We Offer A clear career path with mentoring and training tailored for graduates. More ❯

working in a fast-paced, high-growth startup environment with shifting priorities. Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced More ❯

Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity with enterprise AI More ❯

working in a fast-paced, high-growth startup environment with shifting priorities. Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced More ❯

in revenue. Responsibilities: Fraud Investigation: Review complex fraud cases to uncover trends and provide actionable recommendations that help customers reduce risk and build trust. Data Analysis: Apply SQL and Python to analyse customer data, improve fraud detection accuracy, and minimise false positives. Deliver insights through clear reports and implement rule changes in the ThreatMetrix® engine. Consulting Approach: Understand customer needs More ❯

in revenue. Responsibilities: Fraud Investigation: Review complex fraud cases to uncover trends and provide actionable recommendations that help customers reduce risk and build trust. Data Analysis: Apply SQL and Python to analyse customer data, improve fraud detection accuracy, and minimise false positives. Deliver insights through clear reports and implement rule changes in the ThreatMetrix® engine. Consulting Approach: Understand customer needs More ❯

The ideal candidate will be able to demonstrate: Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written, with More ❯

The ideal candidate will be able to demonstrate: Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written, with More ❯

You have: · Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD) · At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval More ❯