SC Cleared Test Engineer (AI) Rate - 650 (A day) Duration - 6 Months (Initially) Location - London (Hybrid) Ir35 - Inside (Must use an umbrella company) We are looking for an experienced Senior Test Engineer (AI) to play a key role in delivering high-quality, reliable artificial intelligence and data-driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test-driven (TDD) and behaviour-driven (BDD) practices within engineering teams Drive improvements in automation frameworks and testing tools Provide expert oversight on AI model validation, including Generative AI and RAG solutions Identify risks early and implement mitigation strategies Mentor and coach engineers to build strong testing capability across teams Key Responsibilities Define and deliver testing strategies aligned to organisational standards Lead AI testing, validation, and evaluation frameworks Integrate testing within CI/CD and DevOps pipelines Champion modern testing approaches, including AI-led and predictive testing techniques Collaborate with cross-functional teams including engineering, data science, product, and leadership Oversee defect management, quality metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI / ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java, JavaScript, SQL, or R Proven experience in: AI / Generative AI testing RAG (Retrieval-Augmented Generation) solution validation (e.g. RAGAS framework) CI/CD, DevOps, and cloud-based test integration Ability to define and implement AI testing strategies and model validation frameworks Strong understanding of: Functional and non-functional testing Accessibility, security, and performance testing Experience working in regulated or enterprise environments Active SC Clearance (mandatory)
Aug 14, 2026
Contractor
SC Cleared Test Engineer (AI) Rate - 650 (A day) Duration - 6 Months (Initially) Location - London (Hybrid) Ir35 - Inside (Must use an umbrella company) We are looking for an experienced Senior Test Engineer (AI) to play a key role in delivering high-quality, reliable artificial intelligence and data-driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test-driven (TDD) and behaviour-driven (BDD) practices within engineering teams Drive improvements in automation frameworks and testing tools Provide expert oversight on AI model validation, including Generative AI and RAG solutions Identify risks early and implement mitigation strategies Mentor and coach engineers to build strong testing capability across teams Key Responsibilities Define and deliver testing strategies aligned to organisational standards Lead AI testing, validation, and evaluation frameworks Integrate testing within CI/CD and DevOps pipelines Champion modern testing approaches, including AI-led and predictive testing techniques Collaborate with cross-functional teams including engineering, data science, product, and leadership Oversee defect management, quality metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI / ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java, JavaScript, SQL, or R Proven experience in: AI / Generative AI testing RAG (Retrieval-Augmented Generation) solution validation (e.g. RAGAS framework) CI/CD, DevOps, and cloud-based test integration Ability to define and implement AI testing strategies and model validation frameworks Strong understanding of: Functional and non-functional testing Accessibility, security, and performance testing Experience working in regulated or enterprise environments Active SC Clearance (mandatory)
AI Engineer - London - hybrid working Up to £51,000 + perm benefits We are seeking an AI Engineer to join an ambitious digital transformation programme focused on driving the adoption of Artificial Intelligence across a large and complex higher education environment. This is a fantastic opportunity for someone who is passionate about AI, automation and emerging technologies. You'll play a key role in identifying opportunities for AI-driven improvements, developing innovative solutions, and helping to define how AI is adopted across the organisation. The Role Working within a newly established AI programme, you will help identify business challenges and design practical AI-powered solutions that automate manual processes, improve productivity and enhance user experiences. You will work closely with stakeholders across the organisation to understand problems, develop proof of concepts, build AI solutions and collaborate with both internal and third-party development teams to deliver successful outcomes. This position is focused on AI applications, intelligent agents and workflow automation rather than infrastructure or traditional software engineering. Key Responsibilities Design and develop AI-powered applications and automation solutions. Build AI assistants, agents and copilots using Microsoft Copilot Studio, Azure AI and Power Platform technologies. Identify opportunities to automate manual processes and improve operational efficiency. Develop proof-of-concepts and rapidly prototype innovative AI solutions. Create Python-based services, integrations and automation scripts to support AI initiatives. Integrate AI solutions with existing enterprise systems and applications. Apply prompt engineering, orchestration techniques and modern AI best practices. About You Around 2-3 years' experience in AI, automation, software development or a related technology discipline. Experience with Microsoft Copilot Studio. Exposure to Azure AI services and the wider Microsoft AI ecosystem. Strong Python skills. Experience developing automation and workflow solutions. Understanding of Large Language Models (LLMs) and prompt engineering.
Aug 14, 2026
Full time
AI Engineer - London - hybrid working Up to £51,000 + perm benefits We are seeking an AI Engineer to join an ambitious digital transformation programme focused on driving the adoption of Artificial Intelligence across a large and complex higher education environment. This is a fantastic opportunity for someone who is passionate about AI, automation and emerging technologies. You'll play a key role in identifying opportunities for AI-driven improvements, developing innovative solutions, and helping to define how AI is adopted across the organisation. The Role Working within a newly established AI programme, you will help identify business challenges and design practical AI-powered solutions that automate manual processes, improve productivity and enhance user experiences. You will work closely with stakeholders across the organisation to understand problems, develop proof of concepts, build AI solutions and collaborate with both internal and third-party development teams to deliver successful outcomes. This position is focused on AI applications, intelligent agents and workflow automation rather than infrastructure or traditional software engineering. Key Responsibilities Design and develop AI-powered applications and automation solutions. Build AI assistants, agents and copilots using Microsoft Copilot Studio, Azure AI and Power Platform technologies. Identify opportunities to automate manual processes and improve operational efficiency. Develop proof-of-concepts and rapidly prototype innovative AI solutions. Create Python-based services, integrations and automation scripts to support AI initiatives. Integrate AI solutions with existing enterprise systems and applications. Apply prompt engineering, orchestration techniques and modern AI best practices. About You Around 2-3 years' experience in AI, automation, software development or a related technology discipline. Experience with Microsoft Copilot Studio. Exposure to Azure AI services and the wider Microsoft AI ecosystem. Strong Python skills. Experience developing automation and workflow solutions. Understanding of Large Language Models (LLMs) and prompt engineering.
AI Engineer - London - hybrid working Up to 51,000 + perm benefits We are seeking an AI Engineer to join an ambitious digital transformation programme focused on driving the adoption of Artificial Intelligence across a large and complex higher education environment. This is a fantastic opportunity for someone who is passionate about AI, automation and emerging technologies. You'll play a key role in identifying opportunities for AI-driven improvements, developing innovative solutions, and helping to define how AI is adopted across the organisation. The Role Working within a newly established AI programme, you will help identify business challenges and design practical AI-powered solutions that automate manual processes, improve productivity and enhance user experiences. You will work closely with stakeholders across the organisation to understand problems, develop proof of concepts, build AI solutions and collaborate with both internal and third-party development teams to deliver successful outcomes. This position is focused on AI applications, intelligent agents and workflow automation rather than infrastructure or traditional software engineering. Key Responsibilities Design and develop AI-powered applications and automation solutions. Build AI assistants, agents and copilots using Microsoft Copilot Studio, Azure AI and Power Platform technologies. Identify opportunities to automate manual processes and improve operational efficiency. Develop proof-of-concepts and rapidly prototype innovative AI solutions. Create Python-based services, integrations and automation scripts to support AI initiatives. Integrate AI solutions with existing enterprise systems and applications. Apply prompt engineering, orchestration techniques and modern AI best practices. About You Around 2-3 years' experience in AI, automation, software development or a related technology discipline. Experience with Microsoft Copilot Studio. Exposure to Azure AI services and the wider Microsoft AI ecosystem. Strong Python skills. Experience developing automation and workflow solutions. Understanding of Large Language Models (LLMs) and prompt engineering.
Aug 14, 2026
Full time
AI Engineer - London - hybrid working Up to 51,000 + perm benefits We are seeking an AI Engineer to join an ambitious digital transformation programme focused on driving the adoption of Artificial Intelligence across a large and complex higher education environment. This is a fantastic opportunity for someone who is passionate about AI, automation and emerging technologies. You'll play a key role in identifying opportunities for AI-driven improvements, developing innovative solutions, and helping to define how AI is adopted across the organisation. The Role Working within a newly established AI programme, you will help identify business challenges and design practical AI-powered solutions that automate manual processes, improve productivity and enhance user experiences. You will work closely with stakeholders across the organisation to understand problems, develop proof of concepts, build AI solutions and collaborate with both internal and third-party development teams to deliver successful outcomes. This position is focused on AI applications, intelligent agents and workflow automation rather than infrastructure or traditional software engineering. Key Responsibilities Design and develop AI-powered applications and automation solutions. Build AI assistants, agents and copilots using Microsoft Copilot Studio, Azure AI and Power Platform technologies. Identify opportunities to automate manual processes and improve operational efficiency. Develop proof-of-concepts and rapidly prototype innovative AI solutions. Create Python-based services, integrations and automation scripts to support AI initiatives. Integrate AI solutions with existing enterprise systems and applications. Apply prompt engineering, orchestration techniques and modern AI best practices. About You Around 2-3 years' experience in AI, automation, software development or a related technology discipline. Experience with Microsoft Copilot Studio. Exposure to Azure AI services and the wider Microsoft AI ecosystem. Strong Python skills. Experience developing automation and workflow solutions. Understanding of Large Language Models (LLMs) and prompt engineering.
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
Aug 13, 2026
Full time
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
Aug 08, 2026
Full time
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
Junior IT & AI Support Engineer Location: Bicester, Oxfordshire (Hybrid) Salary: £30,000 - £35,000 (depending on experience) Job Type: Permanent, Full-Time Launch your IT career at the forefront of engineering, sustainability and Artificial Intelligence. Are you a Computer Science, Computing or IT graduate looking for more than a standard helpdesk role? This is an outstanding opportunity to build your career with an internationally respected engineering consultancy, working on real AI projects, not just resetting passwords. About the Company Our client is recognised for developing innovative, sustainable engineering solutions that help organisations improve performance while reducing environmental impact. Their work combines world-class engineering, advanced simulation and high-performance computing (HPC) to solve complex technical challenges across a range of industries. Working closely with an experienced Head of IT, you'll join a small, collaborative team with genuine exposure to enterprise IT infrastructure, cloud technologies, cybersecurity and AI implementation projects that will help shape the future of the business. Why This Role Stands Out You'll benefit from direct mentoring from an experienced Head of IT, hands-on exposure to AI implementation and digital transformation projects, and real experience supporting high-performance computing (HPC) environments. There are genuine career progression opportunities, hybrid working, and a friendly, supportive and innovative team environment to grow in. Key Responsibilities You'll provide first-line IT support across the business, troubleshooting hardware, software and network issues, and setting up and maintaining laptops, desktops, mobile devices and peripherals. You'll support Microsoft 365 (Outlook, Teams, SharePoint, OneDrive, Intune), create and manage user accounts, permissions and access requests, install software and carry out routine maintenance, and maintain IT documentation and asset registers. The role also involves supporting cybersecurity initiatives and device security, liaising with third-party IT suppliers, assisting with IT procurement and equipment deployment, and supporting business continuity and disaster recovery activities. AI & Digital Transformation Alongside core IT support, you'll get involved in researching and evaluating emerging AI technologies, assisting with the implementation and testing of AI solutions, and supporting workflow automation projects. You'll create user guides and training documentation, help colleagues adopt new technologies, and keep up to date with the latest developments in AI, identifying opportunities for continuous improvement along the way. About You We're looking for enthusiasm, curiosity and a genuine passion for technology. You may be a recent graduate in Computing, Computer Science, IT or a related discipline, or someone with 1-2 years' experience in an IT Support or Helpdesk role. You'll be interested in Artificial Intelligence and emerging technologies, and friendly, approachable and confident communicating with colleagues at all levels. Desirable Skills Ideally you'll have knowledge of Microsoft Windows, Microsoft 365, Microsoft Entra ID (Azure AD) or Active Directory, and Microsoft Intune, along with basic networking principles. Experience with PowerShell or Python, Microsoft Power Platform, Google Workspace or Google Cloud Platform, and AI tools such as Microsoft Copilot, ChatGPT or Perplexity would all be advantageous, as would familiarity with the Linux command line. Don't worry if you haven't worked with every technology listed if you're technically curious, enjoy learning and have a positive attitude, we'd love to hear from you. Is This You? If you're looking for more than resetting passwords, somewhere that will invest in your development, expose you to cutting-edge technology and give you a genuine part to play in the future of AI within an innovative engineering business apply today. Please note: If you have not heard from us within two weeks of your application, unfortunately you have not been selected on this occasion. Chiltern Park Recruitment is proud to be an equal opportunities employer. All applicants must have the permanent right to work in the UK in order to be considered for this position.
Aug 08, 2026
Full time
Junior IT & AI Support Engineer Location: Bicester, Oxfordshire (Hybrid) Salary: £30,000 - £35,000 (depending on experience) Job Type: Permanent, Full-Time Launch your IT career at the forefront of engineering, sustainability and Artificial Intelligence. Are you a Computer Science, Computing or IT graduate looking for more than a standard helpdesk role? This is an outstanding opportunity to build your career with an internationally respected engineering consultancy, working on real AI projects, not just resetting passwords. About the Company Our client is recognised for developing innovative, sustainable engineering solutions that help organisations improve performance while reducing environmental impact. Their work combines world-class engineering, advanced simulation and high-performance computing (HPC) to solve complex technical challenges across a range of industries. Working closely with an experienced Head of IT, you'll join a small, collaborative team with genuine exposure to enterprise IT infrastructure, cloud technologies, cybersecurity and AI implementation projects that will help shape the future of the business. Why This Role Stands Out You'll benefit from direct mentoring from an experienced Head of IT, hands-on exposure to AI implementation and digital transformation projects, and real experience supporting high-performance computing (HPC) environments. There are genuine career progression opportunities, hybrid working, and a friendly, supportive and innovative team environment to grow in. Key Responsibilities You'll provide first-line IT support across the business, troubleshooting hardware, software and network issues, and setting up and maintaining laptops, desktops, mobile devices and peripherals. You'll support Microsoft 365 (Outlook, Teams, SharePoint, OneDrive, Intune), create and manage user accounts, permissions and access requests, install software and carry out routine maintenance, and maintain IT documentation and asset registers. The role also involves supporting cybersecurity initiatives and device security, liaising with third-party IT suppliers, assisting with IT procurement and equipment deployment, and supporting business continuity and disaster recovery activities. AI & Digital Transformation Alongside core IT support, you'll get involved in researching and evaluating emerging AI technologies, assisting with the implementation and testing of AI solutions, and supporting workflow automation projects. You'll create user guides and training documentation, help colleagues adopt new technologies, and keep up to date with the latest developments in AI, identifying opportunities for continuous improvement along the way. About You We're looking for enthusiasm, curiosity and a genuine passion for technology. You may be a recent graduate in Computing, Computer Science, IT or a related discipline, or someone with 1-2 years' experience in an IT Support or Helpdesk role. You'll be interested in Artificial Intelligence and emerging technologies, and friendly, approachable and confident communicating with colleagues at all levels. Desirable Skills Ideally you'll have knowledge of Microsoft Windows, Microsoft 365, Microsoft Entra ID (Azure AD) or Active Directory, and Microsoft Intune, along with basic networking principles. Experience with PowerShell or Python, Microsoft Power Platform, Google Workspace or Google Cloud Platform, and AI tools such as Microsoft Copilot, ChatGPT or Perplexity would all be advantageous, as would familiarity with the Linux command line. Don't worry if you haven't worked with every technology listed if you're technically curious, enjoy learning and have a positive attitude, we'd love to hear from you. Is This You? If you're looking for more than resetting passwords, somewhere that will invest in your development, expose you to cutting-edge technology and give you a genuine part to play in the future of AI within an innovative engineering business apply today. Please note: If you have not heard from us within two weeks of your application, unfortunately you have not been selected on this occasion. Chiltern Park Recruitment is proud to be an equal opportunities employer. All applicants must have the permanent right to work in the UK in order to be considered for this position.
Application Specialist / Integration Engineer - SQL, MS Fabric / Azure Integration Services, SharePoint, M365, Power Platforms, Logic Apps, Application Integration, Product Ownership, Roadmap development. Permanent, London/Hybrid. £80k - £90k + Bonus + Benefits Global Law firm seeks an Application Specialist / Integration Engineer to leverage core MS Azure and MS Fabric (data services) to the commercial benefit of the firms through a mixed use of customised applications and technologies provided by leading vendors in combination with underlying Microsoft technologies. Working in a lead capacity you will undertake a mix of duties akin to that of an Application Specialist / Product Owner whilst remaining hands on in the configuration, development, deployment and management of core MS tools including Azure Integration Services (inc Azure Service Bus, Logic Apps, Canvas Apps and API Mgmt) and MS Fabric (ADF, Data Warehouse and PowerBI). The main duties will include: Maintain and prioritise the product backlog and serve as the firm's technical lead for a selected number of vendor-led applications - Time Management, Practice Management, Finance Customise, enhance, develop, test and optimise reusable components from within the MS stacks to supplement the core product offering using skills in SQL, C# (where applicable), Azure Integration Services, RESTApi's and related tools Leverage Power Platforms (Logic Apps, Power Apps/Canvas Apps, Power Automate) to automate workflows across systems Assist SME's in integration of AI to SharePoint, OneDrive, Teams and the use of AI within the Microsoft 365 applications. Own the technical direction of the applications you are responsible for, ensuring alignment with the Technology roadmap Maintain relevant access, licensing, security policies and usage controls Troubleshoot and resolve complex technical issues, escalating to third-line support or vendors where necessary Engage with technical teams and non-technical stakeholders to solve problems and enhance the application landscape of applications within your portfolio, at that time As such we are searching for an Application Specialist / Product Owner / Integration Engineer who possesses: Strong hands-on experience of the Microsoft stack, including Azure Integration Services and/or MS Fabric Experience of working with Logic Apps, Power Apps/Canvas Apps, Power Automate to automate workflow Previous experience working with customisable off-the-shelf software which are customisable and integrated into the end user environment (ideally Finance Management systems); this would ideally include systems such as Aderant (Expert Sierra), Elite3E, PracticeEvolve, ProClaim. Solid understanding of core integration techniques utilising a range of the following skills SQL, REST APIs, Service Bus and C# (where applicable) Excellent vendor, stakeholder engagement, communication, training and documentation Experience of aspects of product ownership including roadmap development and backlog management Excellent opportunity to join global law firm during an exciting phase of their artificial intelligence technology integration and development journey in the forthcoming years. Experience gained in legal services, Law Firms, banking, financial services or any of the big four consultancy environments including Deloitte, KPMG, PWC or EY (ideally working on similar Integration Engineering / Application Engineering or Technical Product Owner capacity within legal services / banking / professional services client environments) would be highly desirable but not essential. Experience gained within vendors (or Systems Integrators) such as Aderant, Elite 3E, PracticeEvolve, ProClaim, OneAdvanced (Carpe Diem), BigHand or similar would also be of interest but non-essential; core MS skills as listed are the main requirements for successful application.
Aug 07, 2026
Full time
Application Specialist / Integration Engineer - SQL, MS Fabric / Azure Integration Services, SharePoint, M365, Power Platforms, Logic Apps, Application Integration, Product Ownership, Roadmap development. Permanent, London/Hybrid. £80k - £90k + Bonus + Benefits Global Law firm seeks an Application Specialist / Integration Engineer to leverage core MS Azure and MS Fabric (data services) to the commercial benefit of the firms through a mixed use of customised applications and technologies provided by leading vendors in combination with underlying Microsoft technologies. Working in a lead capacity you will undertake a mix of duties akin to that of an Application Specialist / Product Owner whilst remaining hands on in the configuration, development, deployment and management of core MS tools including Azure Integration Services (inc Azure Service Bus, Logic Apps, Canvas Apps and API Mgmt) and MS Fabric (ADF, Data Warehouse and PowerBI). The main duties will include: Maintain and prioritise the product backlog and serve as the firm's technical lead for a selected number of vendor-led applications - Time Management, Practice Management, Finance Customise, enhance, develop, test and optimise reusable components from within the MS stacks to supplement the core product offering using skills in SQL, C# (where applicable), Azure Integration Services, RESTApi's and related tools Leverage Power Platforms (Logic Apps, Power Apps/Canvas Apps, Power Automate) to automate workflows across systems Assist SME's in integration of AI to SharePoint, OneDrive, Teams and the use of AI within the Microsoft 365 applications. Own the technical direction of the applications you are responsible for, ensuring alignment with the Technology roadmap Maintain relevant access, licensing, security policies and usage controls Troubleshoot and resolve complex technical issues, escalating to third-line support or vendors where necessary Engage with technical teams and non-technical stakeholders to solve problems and enhance the application landscape of applications within your portfolio, at that time As such we are searching for an Application Specialist / Product Owner / Integration Engineer who possesses: Strong hands-on experience of the Microsoft stack, including Azure Integration Services and/or MS Fabric Experience of working with Logic Apps, Power Apps/Canvas Apps, Power Automate to automate workflow Previous experience working with customisable off-the-shelf software which are customisable and integrated into the end user environment (ideally Finance Management systems); this would ideally include systems such as Aderant (Expert Sierra), Elite3E, PracticeEvolve, ProClaim. Solid understanding of core integration techniques utilising a range of the following skills SQL, REST APIs, Service Bus and C# (where applicable) Excellent vendor, stakeholder engagement, communication, training and documentation Experience of aspects of product ownership including roadmap development and backlog management Excellent opportunity to join global law firm during an exciting phase of their artificial intelligence technology integration and development journey in the forthcoming years. Experience gained in legal services, Law Firms, banking, financial services or any of the big four consultancy environments including Deloitte, KPMG, PWC or EY (ideally working on similar Integration Engineering / Application Engineering or Technical Product Owner capacity within legal services / banking / professional services client environments) would be highly desirable but not essential. Experience gained within vendors (or Systems Integrators) such as Aderant, Elite 3E, PracticeEvolve, ProClaim, OneAdvanced (Carpe Diem), BigHand or similar would also be of interest but non-essential; core MS skills as listed are the main requirements for successful application.
