Huxley Banking & Financial Services
City, London
Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for an AI Engineer/Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer/Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer/Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary £60,000- £90,000 Dependent on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) This is a really interesting role and a great chance to join a team as they are really investing in their software development and IT Technology systems This business have recently spent £35million on an entirely new sales portal, and this investment is continuing What We're Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (eg, LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in or near London, with the ability to be onsite once a week. For more information and the chance to be considered, please send through a CV - good luck! To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for an AI Engineer/Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer/Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer/Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary £60,000- £90,000 Dependent on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) This is a really interesting role and a great chance to join a team as they are really investing in their software development and IT Technology systems This business have recently spent £35million on an entirely new sales portal, and this investment is continuing What We're Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (eg, LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in or near London, with the ability to be onsite once a week. For more information and the chance to be considered, please send through a CV - good luck! To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
BSBI Data Consulting
Amersham, Buckinghamshire
Location: Amersham, Buckinghamshire (Full-Time On-Site) Duration: 9-12 Months Start Date: Immediate Start Available BSBI Data Consulting is a growing technology and data consultancy delivering innovative solutions across AI, Data Analytics, Power Platform, and Custom Software Development. We are looking for a motivated and enthusiastic Junior Analyst Intern to join our team and gain hands-on experience working on real client projects. This is an excellent opportunity for students, recent graduates, or individuals looking to build a career in technology, data, and business solutions. What You'll Be Doing Supporting delivery of live client projects. Assisting UK and offshore teams with project activities. Helping with data analysis, testing, documentation, and reporting. Supporting AI/ML, Power Platform, and software development initiatives. Learning new technologies and business processes as part of your day-to-day work. Working closely with experienced consultants and developers. Taking ownership of assigned tasks and contributing to project success. Technologies We Use Artificial Intelligence (AI) & Machine Learning (ML) Microsoft Power Platform Power Apps Power Automate Power BI Custom Software Development Microsoft Azure Data Analytics & Reporting What We're Looking For We are a small but rapidly growing company, so we're looking for someone who: Is hardworking, proactive, and eager to learn. Can adapt to different tasks and challenges. Has a positive attitude and strong work ethic. Is comfortable working in a fast-paced environment. Is willing to support different teams and projects as needed. Can commit to working 5 days per week on-site for the duration of the internship. Has good communication and problem-solving skills. Education We welcome applications from candidates studying or recently completing: Master's Degree (Data Science, Computer Science, AI, Analytics, Engineering, Business or related disciplines) Bachelor's Degree Other relevant courses and qualifications will also be considered. How to Apply For immediate consideration, please send your CV to: (see below) Please apply only if you can commit to a full-time, 5-day-per-week on-site internship.
Location: Amersham, Buckinghamshire (Full-Time On-Site) Duration: 9-12 Months Start Date: Immediate Start Available BSBI Data Consulting is a growing technology and data consultancy delivering innovative solutions across AI, Data Analytics, Power Platform, and Custom Software Development. We are looking for a motivated and enthusiastic Junior Analyst Intern to join our team and gain hands-on experience working on real client projects. This is an excellent opportunity for students, recent graduates, or individuals looking to build a career in technology, data, and business solutions. What You'll Be Doing Supporting delivery of live client projects. Assisting UK and offshore teams with project activities. Helping with data analysis, testing, documentation, and reporting. Supporting AI/ML, Power Platform, and software development initiatives. Learning new technologies and business processes as part of your day-to-day work. Working closely with experienced consultants and developers. Taking ownership of assigned tasks and contributing to project success. Technologies We Use Artificial Intelligence (AI) & Machine Learning (ML) Microsoft Power Platform Power Apps Power Automate Power BI Custom Software Development Microsoft Azure Data Analytics & Reporting What We're Looking For We are a small but rapidly growing company, so we're looking for someone who: Is hardworking, proactive, and eager to learn. Can adapt to different tasks and challenges. Has a positive attitude and strong work ethic. Is comfortable working in a fast-paced environment. Is willing to support different teams and projects as needed. Can commit to working 5 days per week on-site for the duration of the internship. Has good communication and problem-solving skills. Education We welcome applications from candidates studying or recently completing: Master's Degree (Data Science, Computer Science, AI, Analytics, Engineering, Business or related disciplines) Bachelor's Degree Other relevant courses and qualifications will also be considered. How to Apply For immediate consideration, please send your CV to: (see below) Please apply only if you can commit to a full-time, 5-day-per-week on-site internship.
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
Adecco
City, London
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)
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)
