576 to 600 of 1,771 Python Jobs in the City of London

AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows, and more. Client-Centric Problem Solver – You More ❯

Software Engineer to join their team on a permanent basis. In order to be successful, you will have the following experience: Experienced Software Developer/Engineer Strong background within Python, C++, C#, SQL, TypeScript Experience of Palantir technology is a bonus DV or SC Clearance is essential Within this role, you will be responsible for: Delivering strategic advisory, engineering delivery More ❯

scaling cross-functional engineering teams. Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Proficiency in full-stack development (Java/Python/NodeJS/Typescript), including cloud technologies (AWS ideally). They want someone who is always ready to code when needed. Familiarity with AI and Machine Learning, and a passion More ❯

Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we’re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc. More ❯

tools. The Candidate Key attributes of the suitable Data Science Consultant include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows, and more. Client-Centric Problem Solver – You More ❯

AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows, and more. Client-Centric Problem Solver – You More ❯

execution. Monitor and manage the lifecycle of AI-driven systems in production environments. Requirements 6+ years of professional software development experience, ideally in a quantitative or trading environment. Strong Python programming skills and a solid foundation in statistics and machine learning. Proven experience delivering production-grade AI/ML applications, including LLMs and anomaly detection models. Familiarity with cloud infrastructure More ❯

execution. Monitor and manage the lifecycle of AI-driven systems in production environments. Requirements 6+ years of professional software development experience, ideally in a quantitative or trading environment. Strong Python programming skills and a solid foundation in statistics and machine learning. Proven experience delivering production-grade AI/ML applications, including LLMs and anomaly detection models. Familiarity with cloud infrastructure More ❯

SQL Server skills and SQL querying experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming for data analysis - Data modelling (warehouse, lakehouse, medallion architecture) - Understanding of financial and insurance data models - Insurance experience, ideally with knowledge of key industry metrics Please apply for immediate More ❯

engineering experience in a high-availability environment (RedHat/Debian-based or similar). Experience supporting mission-critical systems and high-performance applications. Strong scripting/automation skills (Bash, Python, or another high-level language). Experience with configuration management tools (Ansible, Puppet, Chef, SaltStack). Highly skilled at debugging and troubleshooting using command-line tools (e.g., ss, iostat, dig 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: £85,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package More ❯

Software Engineer to join their team on a permanent basis. In order to be successful, you will have the following experience: Experienced Software Developer/Engineer Strong background within Python, C++, C#, SQL, TypeScript Experience of Palantir technology is a bonus DV or SC Clearance is essential Within this role, you will be responsible for: Delivering strategic advisory, engineering delivery More ❯

engineering experience in a high-availability environment (RedHat/Debian-based or similar). Experience supporting mission-critical systems and high-performance applications. Strong scripting/automation skills (Bash, Python, or another high-level language). Experience with configuration management tools (Ansible, Puppet, Chef, SaltStack). Highly skilled at debugging and troubleshooting using command-line tools (e.g., ss, iostat, dig More ❯

and optimise ML models in production Drive reliability, observability, and performance across AI services Collaborate with customers and internal teams to deliver scalable solutions About You Strong skills in Python and applied Machine Learning Passion for solving real-world problems with AI Interest in agentic AI systems , MLOps , and Kubernetes Excellent communicator who thrives in a collaborative, remote-first team More ❯

intensive industries (Utilities, Transportation, Oil & Gas, Manufacturing etc.) Hands-on experience with databases (Oracle, SQL Server, DB2) and SQL scripting. Proficiency in at least one programming language (e.g., Java, Python, or Linux/Solaris). Excellent communication and problem-solving skills. More ❯

data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments where accuracy and governance are critical. More ❯

AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs More ❯

intensive industries (Utilities, Transportation, Oil & Gas, Manufacturing etc.) Hands-on experience with databases (Oracle, SQL Server, DB2) and SQL scripting. Proficiency in at least one programming language (e.g., Java, Python, or Linux/Solaris). Excellent communication and problem-solving skills. More ❯

data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments where accuracy and governance are critical. More ❯

AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs More ❯

cross functionally to understand business problems, working with product teams. Stay abreast of ground-breaking research and approaches in advanced topics You’ll thrive if you: Strong proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks More ❯

cross functionally to understand business problems, working with product teams. Stay abreast of ground-breaking research and approaches in advanced topics You’ll thrive if you: Strong proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks More ❯

problem-solving and communication skills, with the ability to translate business objectives into robust technical solutions Experience with REST APIs, SQL, and modern web technologies (JavaScript/React/Python/Postman API preferred) Familiarity with payment gateways, transaction routing and compliance frameworks (e.g. PCI DSS, PSD2, or Open Banking) is a strong plus If you’re passionate about empowering More ❯

5+ years software engineering experience, with deep backend/system-level experience Strong coding skills in a typed systems languages like C++/Go/Rust (would also consider Python) Familiarity with Kubernetes, and cloud infra A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in More ❯

the data framework. Build data quality checks to ensure accuracy, consistency, and coverage. Requirements: 1-3 years' experience as a Data Engineer, ideally from Big Tech or finance. Advanced Python skills, including pandas and Linux proficiency. Experience with and knowledge of SQL, Experience with ETL pipelines and data lifecycle management. Familiarity with AWS cloud infrastructure. Ability to start within More ❯