401 to 425 of 1,615 Python Jobs in the City of London

first applications and analytics. Contribute predictive data science projects. Collaborate on defining features and user stories. The Data Engineer/Data Practitioner/Software Engineer will: Have experience with Python, databased and analytical SQL’s. Have strong analytical and problem-solving skills. Possess excellent communication and stakeholder management abilities. Thrive in a collaborative, fast-paced environment. More ❯

have Shipped knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud delivery (AWS/Azure/GCP) with basic IaC/CI/CD and governance. Nice-to More ❯

first applications and analytics. Contribute predictive data science projects. Collaborate on defining features and user stories. The Data Engineer/Data Practitioner/Software Engineer will: Have experience with Python, databased and analytical SQL’s. Have strong analytical and problem-solving skills. Possess excellent communication and stakeholder management abilities. Thrive in a collaborative, fast-paced environment. More ❯

client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: PhD in STEM related subject Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big More ❯

drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily More ❯

client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: PhD in STEM related subject Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big More ❯

testing using tools such as Swagger Good SQL/Sybase skills; building modern applications with C# Strong hands-on development experience with: AVS, OpenJVS, Open Components, Java, SQL, C#, Python Connex Gateways for trade booking and market data integration Real-Time Position Engine (RTPE) and Automated Position Management (APM) Performance tuning and optimization for EOD batch processing If interested please More ❯

CD tools (eg, GitLab). Excellent communication and problem-solving skills. Nice to Have Shell Scripting experience. Knowledge of cloud platforms and Big Data technologies. Strong programming skills in Python . Interested? Apply now to join a leading investment bank and work on cutting-edge database solutions in a dynamic, collaborative environment. More ❯

CD tools (eg, GitLab). Excellent communication and problem-solving skills. Nice to Have Shell Scripting experience. Knowledge of cloud platforms and Big Data technologies. Strong programming skills in Python . Interested? Apply now to join a leading investment bank and work on cutting-edge database solutions in a dynamic, collaborative environment. More ❯

optimising data workflows, thrives in a fast-moving environment, and wants to work across a variety of platforms and challenges. What you'll need: Solid hands-on experience with Python and SQL Strong knowledge of data pipelines, cloud infrastructure (AWS & Azure), and integration tools Familiarity with tools like Airflow and version control, GIT. Confident working with structured and unstructured datasets More ❯

alerting for production systems Collaborate with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of More ❯

across regions. Requirements: An interest EQD products, pricing, and algorithmic trading. Experience with Unix/Linux/Windows systems, Oracle SQL, IBM Websphere MQ, Tibco RV. Scripting skills (e.g., Python) and understanding of production processes. Proven experience or an interest in front-office trading environments. Excellent problem-solving, communication, and stakeholder management skills. Ideal Candidate: Holds a first-class degree More ❯

a Desk Quant Analyst Bachelors degree in engineering, computer science or another technical related subject. programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python) high level of communication skills and ability to work efficiently with colleagues across multiple areas Additional desirable Qualifications for desk quant analyst Knowledge of Q/KDB+ Knowledge of Linux More ❯

cloud connectivity. You’ll contribute to service design and drive automation. The ideal candidate should bring strong TCP/IP networking fundamentals, proven scripting/automation skills (PowerShell or Python), and experience delivering cloud infrastructure (IaaS) and M365 deployments/migrations. Proficiency with Conditional Access, CI/CD pipelines, and Infrastructure-as-Code (e.g., Terraform) is essential. Additional exposure to More ❯

across regions. Requirements: An interest EQD products, pricing, and algorithmic trading. Experience with Unix/Linux/Windows systems, Oracle SQL, IBM Websphere MQ, Tibco RV. Scripting skills (e.g., Python) and understanding of production processes. Proven experience or an interest in front-office trading environments. Excellent problem-solving, communication, and stakeholder management skills. Ideal Candidate: Holds a first-class degree More ❯

cloud connectivity. You’ll contribute to service design and drive automation. The ideal candidate should bring strong TCP/IP networking fundamentals, proven scripting/automation skills (PowerShell or Python), and experience delivering cloud infrastructure (IaaS) and M365 deployments/migrations. Proficiency with Conditional Access, CI/CD pipelines, and Infrastructure-as-Code (e.g., Terraform) is essential. Additional exposure to More ❯

foundation with experience applying statistics and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex findings in a clear, business-relevant way. Experience working collaboratively in agile, cross-functional teams. More ❯

mission-critical global codebase 🔹 What they're looking for 5+ years' software engineering experience (3+ in financial markets/algos) Strong coding skills in Java, Kotlin, C#, or C++ (Python a plus) Hands-on experience with real-time data processing & distributed systems Strong understanding of software engineering and system architecture A proactive problem-solver with excellent collaboration skills 🌍 Why Join More ❯

documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: £130K & Bonus + benefits Health & wellbeing support Learning & development opportunities Social/team activities More ❯

stakeholders to shape strategy and deliver measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify More ❯

unit testing, test automation, and Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £100,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package More ❯

documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: £130K & Bonus + benefits Health & wellbeing support Learning & development opportunities Social/team activities More ❯

set of requirements and will not look outside of this. They are; Have studied Computer Science or Maths at a Top University Have strong OOP – language is not important; Python, Java, C C#. Strong problem-solving capability Some SQL experience Have had internship or placement experience (non-negotiable) Salary range is £45K-£55K + bonus + pension + healthcare + More ❯

About you: Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore More ❯

functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross More ❯