9 senior python engineer 700 day jobs found

🚀 Building a Senior AI Engineering Team (LLM + Distributed Systems) Global Investment Bank | Capital Markets Platform 📍 London (1–2 days onsite) 💰 £700–£1,200/day (Outside IR35) Contract to permanent available 📅 12-month contracts The Mandate We are building a production-grade AI platform inside a global investment bank. This is not a research team or a chatbot project. This is engineering-heavy , focused on integrating LLM systems into large-scale, distributed environments used by trading and quant teams. We are hiring across multiple levels: Lead Engineer (Agentic / RAG focus) Architect (end-to-end platform design- Agentic / RAG focus) Senior Engineers (x3) Agentic / RAG focus Potential Director-level hire to oversee the function What This Role Requires (Read Before Applying) You must have: Experience building distributed systems at scale Strong background in backend or data engineering Proven experience working on...

AI Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI / Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for. What you'll be working on as an AI Engineer - LLM & Agentic Systems: Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to...

We are hiring a Senior GCP Data Engineer to design and build scalable, high-performance data platforms on Google Cloud for a leading banking/financial services client. This role involves working on large-scale data systems, building both batch and real-time pipelines, and delivering enterprise-grade data solutions. Key Responsibilities Design and build batch & real-time data pipelines on GCP Work with BigQuery, Dataflow, Cloud Storage, Spanner Develop real-time streaming solutions (Kafka / Apache Beam) Implement Infrastructure as Code using Terraform Deploy workloads on Kubernetes (GKE) Build and manage CI/CD pipelines (Jenkins / Spinnaker) Collaborate on data modelling and architecture Ensure systems are secure, scalable, and cost-optimized Required Skills 6+ years of overall experience in Data Engineering 3+ years of hands-on experience in Google Cloud Platform (GCP) Strong expertise in: BigQuery Dataflow / Apache Beam Kafka...

Location: Stratford, London Rate: £400–£450 per day (Outside IR35) Contract Length: 6-12 months Client: Global Consultancy (End Client: Confidential Financial Institution) We are partnering with a global consultancy who are delivering an AI‑driven automation and orchestration programme for a major enterprise client. They require an experienced AI Engineer / Senior Python Engineer with strong microservices experience, LLM integration and AWS serverless expertise to support the build of an intelligent prompt‑orchestration platform powered by AWS Bedrock. Key Responsibilities Develop and maintain Python microservices, serverless functions (AWS Lambda), backend APIs and Python packages Build LLM‑powered agents, orchestration flows and MCP servers using AWS Bedrock Analyse logs, traces and evaluation outputs from a live AI product environment Design and maintain REST APIs interacting with AWS services including OpenSearch, DynamoDB, Kendra and S3 Build and...

London, UK Contract Up to £700p/d (Outside IR35) We’re working with an early stage start up focused on AI HR tooling to drastically improve performance and efficiency. They are a small, focused team looking for a Senior Backend Engineer to help them scale up their AI platform and make a real impact. They are looking for an engineer with strong commercial use of either Java, Kotlin or Scala and proficiency with Python to help modernise their codebase. Responsibilities: Build and scale backend systems for AI-driven automation products Collaborate with product and frontend teams on planning and decision-making Contribute to architecture, design, and scaling efforts Manage CI/CD pipelines and cloud infrastructure deployments Collaborate directly with our CEO and CTO to architect end-to-end backend solutions Key Requirements Strong programming skills in the JVM ecosystem Some proficiency in Python 6+ years of backend development experience...

Databricks Data Engineer £500 - £550 per day Outside IR35 We're partnering with a leading online retail company that's transforming the way data and Real Time intelligence shape customer experiences. Their mission is to harness cutting-edge data and streaming technologies to drive smarter decisions, improve efficiency, and create personalised journeys for millions of shoppers worldwide. The Role As a Senior Data Engineer, you'll play a key role in developing and optimising the backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, Real Time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers reliable, high-quality, and compliant data at scale. This is a hands-on engineering role that blends software craftsmanship with data architecture expertise. Key...

We are seeking a Data Engineer who will be responsible for delivering secure, scalable, and reliable data pipelines, models, and reporting datasets that support business intelligence, analytics, and AI/ML workloads. This role is hands-on across Microsoft Fabric (including OneLake) and Snowflake, with a strong focus on ETL/ELT engineering, data modelling, performance optimisation, and data governance. Client Details The client is a well-established organisation within the financial services sector, operating in a professional, fast-paced, and data-driven environment. They are investing heavily in modern cloud technologies, advanced analytics, and scalable data platforms to support both internal operations and customer-focused insights. Description Deliver and enhance ETL/ELT pipelines across Microsoft Fabric and Snowflake Configure and maintain ingestion from APIs, files, and other data feeds Implement integration patterns between OneLake and Snowflake Build and operate...

We are seeking a Data Engineer who will be responsible for delivering secure, scalable, and reliable data pipelines, models, and reporting datasets that support business intelligence, analytics, and AI/ML workloads. This role is hands-on across Microsoft Fabric (including OneLake) and Snowflake, with a strong focus on ETL/ELT engineering, data modelling, performance optimisation, and data governance. Client Details The client is a well-established organisation within the financial services sector, operating in a professional, fast-paced, and data-driven environment. They are investing heavily in modern cloud technologies, advanced analytics, and scalable data platforms to support both internal operations and customer-focused insights. Description Deliver and enhance ETL/ELT pipelines across Microsoft Fabric and Snowflake Configure and maintain ingestion from APIs, files, and other data feeds Implement integration patterns...

Senior AI Engineer | £600/day Outside IR35 | 6-Month Contract Industry: Technology / Capital Markets Location: London - 3 days in office Job Type: Contract Our client, a forward-thinking technology organisation, is seeking a Senior AI Engineer to join a team building production-grade AI systems powered by large language models (LLMs). You will work closely with software engineers and product stakeholders to design, develop, and deploy scalable AI applications, focusing on multi-agent orchestration, intelligent tool integration, and reliable production workflows. Responsibilities Design and implement LLM-powered AI systems, including RAG pipelines, vector/knowledge databases, and agentic frameworks. Build and maintain production-grade AI applications with clean code, APIs, data pipelines, and robust error handling. Develop and maintain evaluation frameworks to measure and monitor system performance, accuracy, and reliability. Implement feedback loops...