Emponics jobs

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/London - Hybrid, 3 days in the office - Salary: to £130,000 p/a dependent on experience. . click apply for full job details

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/London - Hybrid, 3 days in the office - Salary: to- £130,000 p/a dependent on experienc. . click apply for full job details

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: Bristol or London - 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. You will be confident of dealing with stakeholders at a high level up to CEO level. Need to be able to have the confidence of identifying AI Automation opportunities across the business and also dealing with stakeholders in a collaborative and engaging way as they roll the product out to the business. Also, be nice to see CV's from candidates that have worked in Tech or big Tech organisations or Financial but not essential 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

Our client is a Global FinTech with offices around the world including London and Bristol in the UK . This AI Deployment Engineer role can be based out of their London offices or Bristol . 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/London - Hybrid, 3 days in the office - Salary: 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.

Our client is a Global FinTech with offices around the world inc Bristol and London in the UK seeking a Product Owner with experience using AI tools. - This Product Owner role can be based out of Bristol (Aztec West) or London (Cornhill EC3) offices. - Ideally 3 days per week in the office and 2 days from home . - Location: Bristol or London - Hybrid, 3 days in the office - Salary: to £90,000 p/a dependent on experience + excellent benefits Our client is on its most transformative journey yet, embedding artificial intelligence natively across its products to redefine financial operations for the world's top banks and asset managers. They are constantly innovating to cement their industry-leading position for the next decade. Working with their product development centres they are building AI-powered modern software using constantly evolving agile practices, with AI embedded natively throughout their development workflows. Independent autonomous teams build, maintain, and support services, developing deep expertise in both technology and business domains. You will be an AI-native product thinker who uses AI tools daily to amplify their impact, influence product direction, and grow personally in a friendly and welcoming environment. Experience - Experience as a Product Owner, Business Analyst, or similar role in software development. - Experience using AI tools to enhance requirements gathering, documentation, or product analysis activities. - Demonstrated ability to integrate AI into day-to-day product ownership tasks while maintaining quality and control. - Experience working in Agile teams with iterative delivery cycles. - Exposure to enterprise software, SaaS platforms, or complex B2B products is highly beneficial. - Experience in software vendor environments. Key Skills - Excellent user story writing skills, with clear acceptance criteria and process documentation, leveraging AI tools to improve clarity, coverage, and consistency. - Strong understanding of Agile principles, especially Scrum or Kanban. - Ability to collaborate effectively with engineers and product team. - Strong analytical mindset and ability to make data-driven decisions. - Excellent communication, coordination, and stakeholder-management skills. - Ability to translate business language into technical details. - Proficiency with AI tools (such as Claude or Kiro, Copilot Studio) to accelerate user story writing, requirements analysis, and product documentation. - Ability to critically evaluate AI-generated outputs and apply sound product judgement to shape AI-assisted features and workflows. Desirable Skills - Experience working independently with complex, configurable enterprise systems where requirements are non-linear and highly domain specific. - Hands-on experience using AI-assisted tools in a Product Owner or Business Analyst workflow. - Experience with generative AI tools or AI-assisted product features. - Understanding of how AI can be applied in enterprise products. - Basic understanding of APIs, data models, SQL, or reading technical logs is an advantage. - Hands-on experience with tools like Jira and Confluence. - Experience using intelligence tools for engineering analytics and backlog management is preferred. Job Responsibilities - Define, prioritise, and manage the product backlog to ensure delivery of high-value features aligned with business objectives and customer needs. - Work with stakeholders, customers, and internal teams to gather requirements, augmenting discovery with AI-assisted analysis (e.g. summarising workshops, identifying gaps, generating follow-up questions). - Translate requirements into clear functional specifications, user stories, acceptance criteria, workflow diagrams, and use cases, using AI tools to improve structure, completeness, and speed of delivery. - Collaborate closely with engineering, QA, UX, and architecture teams throughout the product lifecycle. - Develop a deep understanding of the product, domain, customer workflows, and business rules to inform product decisions. - Lead Agile ceremonies such as backlog refinement, sprint planning, sprint reviews, and product demos. - Use AI to support backlog refinement by suggesting story breakdowns, identifying edge cases, and highlighting dependencies - Validate product functionality, support testing cycles, and ensure delivered features meet acceptance criteria and quality standards. - Review and understand incoming support tickets to categorise issues, severity, and business impact. - Prioritise tickets and assign them effectively to the appropriate engineering or product teams. - Provide clear timelines, status updates, and progress communication to the support organisation. - Identify recurring issues and convert them into backlog items, improvements, or product enhancements, leveraging AI to detect trends and prioritisation opportunities. Benefits - Flexible benefits to include company pension scheme (matched up to 5%), life assurance, income protection and private medical insurance - The opportunity to work and develop in a growing and market leading organisation - 25 days annual leave (increasing with service to 28 days)

Our client is a Global FinTech with offices around the world inc Bristol and London in the UK seeking a Product Owner with experience using AI tools. - This Product Owner role can be based out of London (Cornhill EC3) offices or Bristol (Aztec West) . - Ideally 3 days per week in the office and 2 days from home . - Location: London or Bristol ( you can work out of either ) - Hybrid, 3 days in the office - Salary: to £90,000 p/a dependent on experience + excellent benefits Our client is on its most transformative journey yet, embedding artificial intelligence natively across its products to redefine financial operations for the world's top banks and asset managers. They are constantly innovating to cement their industry-leading position for the next decade. Working with their product development centres they are building AI-powered modern software using constantly evolving agile practices, with AI embedded natively throughout their development workflows. Independent autonomous teams build, maintain, and support services, developing deep expertise in both technology and business domains. You will be an AI-native product thinker who uses AI tools daily to amplify their impact, influence product direction, and grow personally in a friendly and welcoming environment. Experience - Experience as a Product Owner, Business Analyst, or similar role in software development. - Experience using AI tools to enhance requirements gathering, documentation, or product analysis activities. - Demonstrated ability to integrate AI into day-to-day product ownership tasks while maintaining quality and control. - Experience working in Agile teams with iterative delivery cycles. - Exposure to enterprise software, SaaS platforms, or complex B2B products is highly beneficial. - Experience in software vendor environments. Key Skills - Excellent user story writing skills, with clear acceptance criteria and process documentation, leveraging AI tools to improve clarity, coverage, and consistency. - Strong understanding of Agile principles, especially Scrum or Kanban. - Ability to collaborate effectively with engineers and product team. - Strong analytical mindset and ability to make data-driven decisions. - Excellent communication, coordination, and stakeholder-management skills. - Ability to translate business language into technical details. - Proficiency with AI tools (such as Claude or Kiro, Copilot Studio) to accelerate user story writing, requirements analysis, and product documentation. - Ability to critically evaluate AI-generated outputs and apply sound product judgement to shape AI-assisted features and workflows. Desirable Skills - Experience working independently with complex, configurable enterprise systems where requirements are non-linear and highly domain specific. - Hands-on experience using AI-assisted tools in a Product Owner or Business Analyst workflow. - Experience with generative AI tools or AI-assisted product features. - Understanding of how AI can be applied in enterprise products. - Basic understanding of APIs, data models, SQL, or reading technical logs is an advantage. - Hands-on experience with tools like Jira and Confluence. - Experience using intelligence tools for engineering analytics and backlog management is preferred. Job Responsibilities - Define, prioritise, and manage the product backlog to ensure delivery of high-value features aligned with business objectives and customer needs. - Work with stakeholders, customers, and internal teams to gather requirements, augmenting discovery with AI-assisted analysis (e.g. summarising workshops, identifying gaps, generating follow-up questions). - Translate requirements into clear functional specifications, user stories, acceptance criteria, workflow diagrams, and use cases, using AI tools to improve structure, completeness, and speed of delivery. - Collaborate closely with engineering, QA, UX, and architecture teams throughout the product lifecycle. - Develop a deep understanding of the product, domain, customer workflows, and business rules to inform product decisions. - Lead Agile ceremonies such as backlog refinement, sprint planning, sprint reviews, and product demos. - Use AI to support backlog refinement by suggesting story breakdowns, identifying edge cases, and highlighting dependencies - Validate product functionality, support testing cycles, and ensure delivered features meet acceptance criteria and quality standards. - Review and understand incoming support tickets to categorise issues, severity, and business impact. - Prioritise tickets and assign them effectively to the appropriate engineering or product teams. - Provide clear timelines, status updates, and progress communication to the support organisation. - Identify recurring issues and convert them into backlog items, improvements, or product enhancements, leveraging AI to detect trends and prioritisation opportunities. Benefits - Flexible benefits to include company pension scheme (matched up to 5%), life assurance, income protection and private medical insurance - The opportunity to work and develop in a growing and market leading organisation - 25 days annual leave (increasing with service to 28 days)

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: 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