26 to 50 of 335 Python Jobs in the City of London

AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices . Next Steps If you're ready for a role that More ❯

practices in data, ML, and AI. What we re looking for • A background in data science or advanced analytics (insurance/financial risk exposure is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with More ❯

practices in data, ML, and AI. What we’re looking for • A background in data science or advanced analytics (insurance/financial risk exposure is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in More ❯

research to execution. What We’re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries. Independent, self-driven engineers More ❯

Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply More ❯

processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph More ❯

proven hands-on ability. Proven track record of managing and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git More ❯

production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing More ❯

person collaboration at our office. What We’re Looking For: 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness More ❯

Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication skills. Why This Role Stands Out Impactful work at the intersection More ❯

of emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation Highly More ❯

of emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation Highly More ❯

projects. Experience and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on More ❯

projects. Experience and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on More ❯

Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. If you believe you have the experience required, please apply More ❯

Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. If you believe you have the experience required, please apply More ❯

years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯