18 of 18 Contract Python Jobs in the City of London

Cost Governance: Implement unified observability for the entire stack. Specifically, monitor Snowflake credit usage and ClickHouse resource utilization to ensure peak ROI. Automation: Use Python, Bash and/or Ansible to automate routine maintenance tasks and deployments and monitoring services. Technical Stack Our data ecosystem is built for massive scale ...

Optimize data workflows for maximum scalability and cost-efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate ...

Optimize data workflows for maximum scalability and cost-efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate ...

Science to deliver production-grade data solutions. Ensure pipelines are documented, production-ready, and transition smoothly to BAU operations. Required Skills & Qualifications: Proficiency in Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/ ...

Certified Kubernetes Security Specialist (CKS). AWS Certified Solutions Architect Associate and/or AWS Certified DevOps Engineer Professional. Nice-to-Have Experience with Python scripting for automation and reliability tooling. Knowledge of Java and/or React application deployments in production. Prior experience in high-volume, high-availability environments. ...

Solid understanding of event-driven architectures. Hands-on experience with PostgreSQL or comparable relational databases. Experience with API and application security. Practical knowledge of Python, including frameworks such as FastAPI. Practical knowledge of the Java stack. Proven experience with deploying and managing Azure cloud services. Experience deploying and operating containerised ...

Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong Python development skills, experience with AI eval tools (Garak, Pyrit, Ragas), and building complex CI/CD test pipelines. Randstad Technologies is acting as an Employment Business ...

multi-node environments Familiarity with NCCL and GPU-to-GPU communication Experience with Kubernetes , containerised platforms and cluster orchestration Strong coding ability in Python, Go or C++ Experience working with high-performance storage across complex environments is highly desirable A strong troubleshooting mindset with the ability to understand behaviour ...

such as MSL (Murex Scripting Language), XMLF (post-trade processing), MxML & Data Query Language (DQL). Expertise in SQL and Unix and Shell/Python scripting for automation is essential. You will have worked with global banks or capital markets clients and have exposure to multiple financial instruments and asset ...

with FlowX.AI - Hands-on experience with the Flow X platform - Extensive experience of similar workflow/low-code tools - Basic programming skills - Java, JavaScript, Python, Groovy - Experience in BPMN development - Good understanding of API testing - REST and SOAP or knowledge of integration protocols (REST - JSON, SOAP - XML) - Experience working with ...

Successful candidate should have the following essential skills Strong experience with Machine Learning and LLMs (such as GPT or BERT). Proficient in Python and standard ML libraries. Skilled at crafting and testing prompts to get the best out of AI models. Able to clean, process, and manage large datasets ...

Azure Expertise: Deep hands-on experience with Azure engineering, PaaS services, and Infrastructure-as-Code (Bicep, ARM, or Terraform. Software Engineering: Strong proficiency in Python (essential) and PowerShell for building automation frameworks, REST APIs, and identity flows (OAuth2). Identity & Security: Solid understanding of Entra ID, IAM patterns, and implementing … roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy ...

workflows, Retrieval-Augmented Generation (RAG), and vectorisation patterns, rather than purely self-taught or personal interest projects. Software Engineering & Tech Stack: High proficiency in Python and PowerShell for building automation frameworks, REST APIs, and identity flows. Production exposure to the OpenAI SDK, GPT models, and Palantir Foundry is highly desirable. … roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy ...

using services such as AI Foundry, Open-AI, and Microsoft Copilot Studio. Apply governance frameworks to ensure responsible AI/ML model deployment. Use Python to automate processes and optimise workflows. Handle large datasets, including data preprocessing, feature engineering, and model evaluation. Lead the agile development of AI solutions from … prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance frameworks for AI/ML models. Python expertise for automation. Experience working with large datasets and deploying AI solutions in an agile environment. Desirable familiarity with Docker and Kubernetes. Join a forward ...

consumption. Drive International Strategy: Tailor data capabilities for diverse global markets, ensuring metrics account for regional regulatory and language differences. Advanced Analytics & AI: Leverage Python and Gen AI tools to automate anomaly detection, summarization, and recurring insight generation. Root Cause Discovery: Conduct deep-dives into the end-to-end customer … . Technical Stack: Advanced SQL is a must. High proficiency in Snowflake, Databricks, and visualization tools like Tableau or Qlik . Coding: Proficiency in Python or R for automation and advanced experimentation. The "AI Edge": A genuine enthusiasm for LLMs and Generative AI. We are looking for someone who already ...

Data Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation. Tech Stack SQL Oracle Python ETL Background: The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads … architecture and compliance standards. Core Responsibilities Databricks/Modern Data Platform Engineering Lead the design and development of Data Marts using Databricks (SQL/Python). Follow engineering best practices including version control, CI/CD, orchestration, and environment management. Ensure governance, performance optimisation. Legacy Oracle Migration Leadership Lead ...

tuning generative models. This isn't just a 'high-level' role-we need someone who can design the blueprint and then dive into the Python/PySpark code to ensure the foundation is rock solid. Key Responsibilities: Architect & Design: Lead the implementation of on-premises, cloud, and hybrid AI solutions. … Developer Associate) certification. AI Specialization: Proven experience with Prompt Engineering, Azure OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total ...

technically steer engineering teams, manage senior stakeholder relationships, and deliver production-ready Generative AI capabilities. The ideal candidate must be heavily hands-on with Python and Azure , possessing a proven track record of designing and deploying Retrieval-Augmented Generation (RAG) patterns. Key Responsibilities Architect & Govern: Design and implement robust … systems utilising Prompt Engineering, Vector Databases, Azure OpenAI, and Cognitive Search. Data Pipelines: Oversee large-scale data processing and AI data engineering pipelines using Python and PySpark. Leadership & Stakeholder Management: Guide and mentor engineering teams while confidently managing client relationships to secure consensus on complex technical architectures. Essential Skills Clearance ...