Emponics
Almondsbury, Gloucestershire
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Engineer role can be based out of Bristol or London offices. Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate. AI Deployment Engineer Location: Bristol or London - Hybrid, 3 days in the office Salary: £80,000 - £130,000 p/a dependent on experience + excellent benefits You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities • Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving • Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems • Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems • Take Strategist-built prototypes to production-grade hardening, scaling, and ensuring reliability • Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure • Manage data models, schemas, and storage supporting current and future AI deployments • Troubleshoot integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience • 3 5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. • Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. • Strong debugging instincts and a high bar for reliability and data integrity. • Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). London bristol bristol london fintech finance bank artificial intelligence artificial intelligence
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Engineer role can be based out of Bristol or London offices. Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate. AI Deployment Engineer Location: Bristol or London - Hybrid, 3 days in the office Salary: £80,000 - £130,000 p/a dependent on experience + excellent benefits You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities • Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving • Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems • Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems • Take Strategist-built prototypes to production-grade hardening, scaling, and ensuring reliability • Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure • Manage data models, schemas, and storage supporting current and future AI deployments • Troubleshoot integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience • 3 5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. • Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. • Strong debugging instincts and a high bar for reliability and data integrity. • Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). London bristol bristol london fintech finance bank artificial intelligence artificial intelligence
Emponics
City, London
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Strategist role can be based out of Bristol or London offices. Ideally 3 days per week in the office but we could be a little bit more flexible for the ideal candidate. Location: London or Bristol - Hybrid, 3 days in the office Salary: range to - £130,000 p/a dependent on experience + excellent benefits They are looking for an AI Deployment Strategist .An embedded builder-consultant who partners with business units to identify AI automation opportunities and builds them. You will lead discovery, develop agents, own deployment, and drive adoption across the organisation. This is not a strategy-only role; you will be building and shipping solutions alongside stakeholders. Working across teams such as ops, finance, sales, and support, you will translate business problems into working AI solutions, collaborating closely with the AI Deployment Engineer where deep infrastructure is required. Job Responsibilities • Partner with business units to identify and scope high-impact AI and automation opportunities • Lead discovery and scoping sessions, then build the solution yourself • Design and develop AI agents and workflows using Python and LLM frameworks • Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure • Own post-deployment adoption: training, feedback loops, and iteration • Build a library of reusable agent components and playbooks • Proactively surface new automation opportunities across the business Key Skills • Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills • Experience in a deployment or implementation-focused technical role • Familiarity with RPA tools • Product management or solutions engineering background • Claude Code, Claude Cowork, or Claude Skills Experience • 3 5 years in a role blending business problem-solving with hands-on technical building solutions engineering, technical consulting, or a deployment/implementation role. • Able to design and build working AI agents and automation workflows independently using agent frameworks (LangChain, CrewAI, LlamaIndex, or similar) and / or tools such as Microsoft Copilot Studio, Claude Skills etc. • Strong enough technically to assess feasibility and scope what is buildable; commercially sharp enough to prioritise what is worth building. • Familiarity with LLMs, RAG pipelines, tool/function calling, and integrating AI into real business workflows. • Proven ability to lead discovery workshops and translate complex business problems into clear, executable briefs. • Comfortable owning a project end-to-end: discovery ? build ? deploy ? adoption. • Excellent stakeholder management able to run a workshop with a sceptical ops team and earn trust quickly. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. • Nice to have: no-code/low-code tools (Zapier, Make, Power Automate) for rapid prototyping alongside coded solutions. • Background or experience as software engineer for 1-2 years Qualifications • Bachelor's degree in a relevant STEM field, or equivalent practical experience Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make)Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) AI AI AI artificial Intelligence london bristol bristol london uk hybrid finance banking fintech fintech artificial Intelligence artificial Intelligence
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Strategist role can be based out of Bristol or London offices. Ideally 3 days per week in the office but we could be a little bit more flexible for the ideal candidate. Location: London or Bristol - Hybrid, 3 days in the office Salary: range to - £130,000 p/a dependent on experience + excellent benefits They are looking for an AI Deployment Strategist .An embedded builder-consultant who partners with business units to identify AI automation opportunities and builds them. You will lead discovery, develop agents, own deployment, and drive adoption across the organisation. This is not a strategy-only role; you will be building and shipping solutions alongside stakeholders. Working across teams such as ops, finance, sales, and support, you will translate business problems into working AI solutions, collaborating closely with the AI Deployment Engineer where deep infrastructure is required. Job Responsibilities • Partner with business units to identify and scope high-impact AI and automation opportunities • Lead discovery and scoping sessions, then build the solution yourself • Design and develop AI agents and workflows using Python and LLM frameworks • Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure • Own post-deployment adoption: training, feedback loops, and iteration • Build a library of reusable agent components and playbooks • Proactively surface new automation opportunities across the business Key Skills • Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills • Experience in a deployment or implementation-focused technical role • Familiarity with RPA tools • Product management or solutions engineering background • Claude Code, Claude Cowork, or Claude Skills Experience • 3 5 years in a role blending business problem-solving with hands-on technical building solutions engineering, technical consulting, or a deployment/implementation role. • Able to design and build working AI agents and automation workflows independently using agent frameworks (LangChain, CrewAI, LlamaIndex, or similar) and / or tools such as Microsoft Copilot Studio, Claude Skills etc. • Strong enough technically to assess feasibility and scope what is buildable; commercially sharp enough to prioritise what is worth building. • Familiarity with LLMs, RAG pipelines, tool/function calling, and integrating AI into real business workflows. • Proven ability to lead discovery workshops and translate complex business problems into clear, executable briefs. • Comfortable owning a project end-to-end: discovery ? build ? deploy ? adoption. • Excellent stakeholder management able to run a workshop with a sceptical ops team and earn trust quickly. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. • Nice to have: no-code/low-code tools (Zapier, Make, Power Automate) for rapid prototyping alongside coded solutions. • Background or experience as software engineer for 1-2 years Qualifications • Bachelor's degree in a relevant STEM field, or equivalent practical experience Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make)Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) AI AI AI artificial Intelligence london bristol bristol london uk hybrid finance banking fintech fintech artificial Intelligence artificial Intelligence
Emponics
City, London
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Engineer role can be based out of Bristol or London offices. Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate. AI Deployment Engineer Location: Bristol or London - Hybrid, 3 days in the office Salary: range to - £130,000 p/a dependent on experience + excellent benefits You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities • Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving • Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems • Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems • Take Strategist-built prototypes to production-grade hardening, scaling, and ensuring reliability • Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure • Manage data models, schemas, and storage supporting current and future AI deployments • Troubleshoot integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience • 3 5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. • Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. • Strong debugging instincts and a high bar for reliability and data integrity. • Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). London bristol bristol london fintech finance bank artificial intelligence artificial intelligence ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Engineer role can be based out of Bristol or London offices. Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate. AI Deployment Engineer Location: Bristol or London - Hybrid, 3 days in the office Salary: range to - £130,000 p/a dependent on experience + excellent benefits You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities • Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving • Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems • Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems • Take Strategist-built prototypes to production-grade hardening, scaling, and ensuring reliability • Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure • Manage data models, schemas, and storage supporting current and future AI deployments • Troubleshoot integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience • 3 5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. • Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. • Strong debugging instincts and a high bar for reliability and data integrity. • Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). London bristol bristol london fintech finance bank artificial intelligence artificial intelligence ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence ai python finance financial bank banks banking claude engineer developer python ai ai ai sql Integrate AI solutions Python SQL production-grade pipeline development REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 Microsoft Copilot Vector databases embedding pipelines Real-time streaming Kafka, Flink RPA tooling (UiPath, Power Automate) dbt data transformation Claude Code,Claude Cowork, Claude Skills vector databases, real-time streaming london city bristol bath swindon cheltenham bristol london city software artifical intelligence
