Wilmington plc
City, London
Chief Technology Officer Location : Hybrid/Office based in London EC4R Salary : £170,000+ and 20% performance-related bonus + Excellent Benefits! Contract Type : Full Time, Permanent What We Can Offer You : 30 Days Annual Leave, 20% share package, Additional Holiday Purchase, Hybrid Working, Life Assurance, Vitality Private Healthcare, Subsidised Gym Memberships, Cycle to Work Scheme, Discount Vouchers and Access to Wellbeing Resources Why Do We Want You We are seeking a bold, visionary, and hands-on Chief Technology Officer to lead Wilmington Plc s technology strategy at a defining moment in our journey. Wilmington is undergoing a significant evolution, repositioning itself as a RegTech Business Services platform. Technology is no longer a support function, it is the engine that will drive our growth, differentiation, and long-term success. This role exists because we are serious about transformation. As CTO, you will play a central role in shaping how Wilmington looks, operates, and competes in the future. You will unite platforms, people, data, and products into a coherent, scalable, and future-ready technology ecosystem that enables innovation at pace. This is a rare opportunity to leave a lasting legacy: architecting a modern technology landscape, embedding AI at scale, and leading change across an acquisitive, ambitious business. Please note : To complete your application, you will be redirected to Wilmington Plc s career site. At Wilmington Plc, we celebrate individuality and are committed to fostering an inclusive workplace. As a Disability Confident employer, we shortlist all applicants who meet the essential role criteria and guarantee an interview for candidates with disabilities who meet these criteria. For reasonable adjustments or to apply under our interview guarantee scheme, please use the contact details provided once you have clicked apply ! Job Purpose, Tasks and Responsibilities Reporting directly to the CEO, the CTO is accountable for defining and delivering Wilmington s technology vision, ensuring it underpins our strategic ambitions and accelerates transformation across the group. You will operate as a trusted executive leader, shaping corporate strategy, guiding investment decisions, and ensuring technology enables innovation, scalability, and sustainable growth. This role blends strategic leadership with hands-on influence, setting direction while ensuring delivery excellence. You will be responsible for: Leading the delivery of a modern, composable architecture across proprietary platforms, cloud infrastructure (AWS, Azure, GCP), CI/CD pipelines, and core business systems such as Salesforce Ensuring technology scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive measurable business outcomes Defining and executing an ambitious AI strategy, unlocking value from LLMs and emerging technologies while ensuring governance, ethics, and IP protection Designing and overseeing an internal AI operations platform that integrates enterprise systems, automation workflows, and data assets Establishing robust AI governance frameworks aligned with regulatory expectations and industry best practice Driving AI-assisted development approaches to significantly enhance productivity, quality, and speed-to-market Managing strategic technology partnerships and vendors to maximise value, innovation, and performance Setting enterprise-wide technical standards to ensure consistency, resilience, and long-term sustainability Improving operational efficiency, availability, and performance across infrastructure and services Supporting strategic planning, financial oversight, and investment business cases at executive level Leading technology input into product and platform roadmaps aligned to business-unit priorities Acting as a visible, credible technology leader both internally and externally, representing Wilmington s vision and capability What s the Best Thing About This Role You will define and deliver the technology vision for a business in the midst of meaningful, purposeful transformation. With strong board-level sponsorship and a broad mandate for change, this role offers genuine freedom to innovate. You will shape how Wilmington competes in an increasingly AI-driven and regulated world building platforms, products, and capabilities that truly differentiate us and create long-term value. What s the Most Challenging Thing About This Role The challenge lies in balancing ambition with pragmatism. You will need to unlock innovation and transformation while maximising the value of existing platforms, teams, and investments. At the same time, you will be navigating rapid technological change (particularly in AI) while maintaining stability, governance, and trust across a complex and regulated environment. What We re Looking For To be successful in this role, you must have / be: Deep expertise in cloud architecture (AWS, Azure, or GCP), including large-scale, resilient system design and frameworks such as Well-Architected, with the ability to clearly communicate complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating market and technology trends into compelling roadmaps Experience with CRM platforms (Salesforce and/or Dynamics 365), e-learning platforms, and data-led or information services environments Demonstrable success leading M&A technology integration, from due diligence through to post-acquisition execution Strong research orientation with a passion for identifying, assessing, and embedding emerging technologies Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine-tuning considerations, and risk mitigation) Experience leveraging AI-assisted development tools (e.g. GitHub Copilot, Claude Code) to materially improve engineering productivity and delivery outcomes We know it s not a skill, but the successful candidate must have permission to work in the role s location by the start of their employment. About Us Wilmington plc is a dynamic and expanding group of companies with a shared purpose turning knowledge into advantage. We provide trusted information, training, and insight to professional markets across Risk & Compliance, Finance, Legal, and Insight sectors. Our businesses empower organisations and professionals to perform better by providing high-quality, relevant, and reliable knowledge. We collaborate across the group, share success, and focus relentlessly on delivering value to our customers. Join us and do Work That Means Something At Wilmington plc, we help global customers do the right business in the right way providing the data, insights, and education they need to navigate an increasingly complex GRC landscape. When you join us, you won t just shape a company s technology future you ll make a meaningful impact for our customers. We offer flexible hybrid working, strong development opportunities, and an environment where leadership, innovation, and purpose go hand in hand. Whether you re seeking your next defining role or ready to lead change at scale, this is work with meaning. Join us and make a real difference. Click on APPLY today!
Chief Technology Officer Location : Hybrid/Office based in London EC4R Salary : £170,000+ and 20% performance-related bonus + Excellent Benefits! Contract Type : Full Time, Permanent What We Can Offer You : 30 Days Annual Leave, 20% share package, Additional Holiday Purchase, Hybrid Working, Life Assurance, Vitality Private Healthcare, Subsidised Gym Memberships, Cycle to Work Scheme, Discount Vouchers and Access to Wellbeing Resources Why Do We Want You We are seeking a bold, visionary, and hands-on Chief Technology Officer to lead Wilmington Plc s technology strategy at a defining moment in our journey. Wilmington is undergoing a significant evolution, repositioning itself as a RegTech Business Services platform. Technology is no longer a support function, it is the engine that will drive our growth, differentiation, and long-term success. This role exists because we are serious about transformation. As CTO, you will play a central role in shaping how Wilmington looks, operates, and competes in the future. You will unite platforms, people, data, and products into a coherent, scalable, and future-ready technology ecosystem that enables innovation at pace. This is a rare opportunity to leave a lasting legacy: architecting a modern technology landscape, embedding AI at scale, and leading change across an acquisitive, ambitious business. Please note : To complete your application, you will be redirected to Wilmington Plc s career site. At Wilmington Plc, we celebrate individuality and are committed to fostering an inclusive workplace. As a Disability Confident employer, we shortlist all applicants who meet the essential role criteria and guarantee an interview for candidates with disabilities who meet these criteria. For reasonable adjustments or to apply under our interview guarantee scheme, please use the contact details provided once you have clicked apply ! Job Purpose, Tasks and Responsibilities Reporting directly to the CEO, the CTO is accountable for defining and delivering Wilmington s technology vision, ensuring it underpins our strategic ambitions and accelerates transformation across the group. You will operate as a trusted executive leader, shaping corporate strategy, guiding investment decisions, and ensuring technology enables innovation, scalability, and sustainable growth. This role blends strategic leadership with hands-on influence, setting direction while ensuring delivery excellence. You will be responsible for: Leading the delivery of a modern, composable architecture across proprietary platforms, cloud infrastructure (AWS, Azure, GCP), CI/CD pipelines, and core business systems such as Salesforce Ensuring technology scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive measurable business outcomes Defining and executing an ambitious AI strategy, unlocking value from LLMs and emerging technologies while ensuring governance, ethics, and IP protection Designing and overseeing an internal AI operations platform that integrates enterprise systems, automation workflows, and data assets Establishing robust AI governance frameworks aligned with regulatory expectations and industry best practice Driving AI-assisted development approaches to significantly enhance productivity, quality, and speed-to-market Managing strategic technology partnerships and vendors to maximise value, innovation, and performance Setting enterprise-wide technical standards to ensure consistency, resilience, and long-term sustainability Improving operational efficiency, availability, and performance across infrastructure and services Supporting strategic planning, financial oversight, and investment business cases at executive level Leading technology input into product and platform roadmaps aligned to business-unit priorities Acting as a visible, credible technology leader both internally and externally, representing Wilmington s vision and capability What s the Best Thing About This Role You will define and deliver the technology vision for a business in the midst of meaningful, purposeful transformation. With strong board-level sponsorship and a broad mandate for change, this role offers genuine freedom to innovate. You will shape how Wilmington competes in an increasingly AI-driven and regulated world building platforms, products, and capabilities that truly differentiate us and create long-term value. What s the Most Challenging Thing About This Role The challenge lies in balancing ambition with pragmatism. You will need to unlock innovation and transformation while maximising the value of existing platforms, teams, and investments. At the same time, you will be navigating rapid technological change (particularly in AI) while maintaining stability, governance, and trust across a complex and regulated environment. What We re Looking For To be successful in this role, you must have / be: Deep expertise in cloud architecture (AWS, Azure, or GCP), including large-scale, resilient system design and frameworks such as Well-Architected, with the ability to clearly communicate complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating market and technology trends into compelling roadmaps Experience with CRM platforms (Salesforce and/or Dynamics 365), e-learning platforms, and data-led or information services environments Demonstrable success leading M&A technology integration, from due diligence through to post-acquisition execution Strong research orientation with a passion for identifying, assessing, and embedding emerging technologies Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine-tuning considerations, and risk mitigation) Experience leveraging AI-assisted development tools (e.g. GitHub Copilot, Claude Code) to materially improve engineering productivity and delivery outcomes We know it s not a skill, but the successful candidate must have permission to work in the role s location by the start of their employment. About Us Wilmington plc is a dynamic and expanding group of companies with a shared purpose turning knowledge into advantage. We provide trusted information, training, and insight to professional markets across Risk & Compliance, Finance, Legal, and Insight sectors. Our businesses empower organisations and professionals to perform better by providing high-quality, relevant, and reliable knowledge. We collaborate across the group, share success, and focus relentlessly on delivering value to our customers. Join us and do Work That Means Something At Wilmington plc, we help global customers do the right business in the right way providing the data, insights, and education they need to navigate an increasingly complex GRC landscape. When you join us, you won t just shape a company s technology future you ll make a meaningful impact for our customers. We offer flexible hybrid working, strong development opportunities, and an environment where leadership, innovation, and purpose go hand in hand. Whether you re seeking your next defining role or ready to lead change at scale, this is work with meaning. Join us and make a real difference. Click on APPLY today!
Ruleguard
City, London
Ruleguard have an exciting opportunity for a Solutions Engineer to join the team based in London on a hybrid basis . You will join us on a full-time, permanent contract and in return, you will receive a competitive salary of £100,000 - £120,000 per annum. The Solutions Engineer role: This is a pre-sales and solutions role sitting at the intersection of compliance expertise and technology. You will lead the technical and functional dimension of the sales process, running product demonstrations, shaping solution narratives, and ensuring that what we propose is grounded in industry realities and how the platform actually works. You will work closely with our sales team, providing the compliance depth and platform fluency that turns an interested prospect into a confident buyer. Responsibilities of our Solutions Engineer include: Demonstrations and Pre-Sales Engagement Lead product demonstrations across the full Ruleguard platform, tailoring the narrative to the prospect's regulatory profile, firm type, and priority compliance obligations Prepare thoroughly for each demo, researching the prospect's context and structuring the session around their specific pain points rather than a generic feature walkthrough Handle functional and technical questions during demonstrations with confidence, distinguishing clearly between current platform capability and the product roadmap Work with sales colleagues to plan and sequence the pre-sales process, advising on when and how to deploy demonstrations, proof-of-concept exercises, and follow-up sessions Coach and support sales colleagues through demonstrations where a subject matter lead is not present, providing briefing materials, talk tracks, and objection-handling guidance Configure AI agents using goals, intent, constraints, guardrails and context to demonstrate real efficiencies that this technology can bring to our clients Solution Design and Proposals Translate prospect requirements into clear, well-structured solution design and scoping documents for internal use and client presentation Map client workflows to platform capabilities, identifying where configuration can meet requirements directly, where bespoke approaches are needed, and where gaps exist Contribute to proposal and RFP responses, providing the functional and technical content that underpins the commercial offer Collaborate closely with Product and Engineering teams to surface recurring customer requirements, implementation patterns, and opportunities for product enhancement. Support proof-of-concept and implementation activities, helping clients configure workflows, troubleshoot issues, and optimise operational adoption. Translate complex compliance and operational requirements into scalable platform configurations, workflow logic, governance controls, and solution designs. Work with clients to operationalise Ruleguard within real-world enterprise environments, including integration into internal systems, workflows, data sources, and approval processes. Maintain a working knowledge of how Ruleguard is configured across different client types, using that pattern recognition to sharpen pre-sales conversations Platform Knowledge and Collateral Develop and maintain deep working knowledge of the Ruleguard platform across all solution modules, including regulatory change, policy management, conflicts of interest, personal account trading, gifts and entertainment, and related areas Stay current with regulatory developments relevant to Ruleguard's client base, ensuring that demonstrations and solution narratives reflect the compliance environment prospects are operating in Contribute to the development of demo environments, scenario libraries, and pre-sales collateral, improving the quality and consistency of how the platform is presented to market What we are looking for in our Solutions Engineer: Compliance and Domain Knowledge Prior experience working within or alongside a risk or compliance function in financial services, whether as a compliance analyst, associate, or officer, or in a consulting or advisory role serving compliance teams Solid working knowledge of core compliance disciplines including regulatory change management, conflicts of interest, policy and procedure governance, and employee monitoring Familiarity with the regulatory environment relevant to asset managers, wealth managers, broker-dealers, or similar regulated firms Genuine curiosity about how regulation is evolving and how technology can help compliance teams keep pace Pre-Sales and Client-Facing Skills Confident and credible in front of senior compliance and risk stakeholders, able to lead a conversation rather than present slides Able to read a room, adapt a demonstration in real time, and handle questions without losing the thread of the narrative Clear written communication; produces documentation that is precise, well-organised, and appropriate for a client audience Technical and Analytical Comfortable learning and administering SaaS platforms; picks up new systems quickly and applies that knowledge practically Proficient with data, dashboards, and reporting, and able to work with the outputs of a compliance platform and interpret them for a client audience Comfortable troubleshooting complex SaaS implementations across integrations, workflow configuration, user permissions, and data quality issues. Familiarity with workflow automation, AI-assisted operations, or agentic SaaS concepts, including approval flows, retrieval-driven workflows, permissions, and human-in-the-loop controls. Familiar with AI tools and their application in compliance operations and the broader GRC technology market Organised and methodical; able to manage multiple pre-sales engagements in parallel without losing track of detail or follow-up If you are looking for a new challenge, please click apply now to be considered as our Solutions Engineer - we d love to hear from you!
Ruleguard have an exciting opportunity for a Solutions Engineer to join the team based in London on a hybrid basis . You will join us on a full-time, permanent contract and in return, you will receive a competitive salary of £100,000 - £120,000 per annum. The Solutions Engineer role: This is a pre-sales and solutions role sitting at the intersection of compliance expertise and technology. You will lead the technical and functional dimension of the sales process, running product demonstrations, shaping solution narratives, and ensuring that what we propose is grounded in industry realities and how the platform actually works. You will work closely with our sales team, providing the compliance depth and platform fluency that turns an interested prospect into a confident buyer. Responsibilities of our Solutions Engineer include: Demonstrations and Pre-Sales Engagement Lead product demonstrations across the full Ruleguard platform, tailoring the narrative to the prospect's regulatory profile, firm type, and priority compliance obligations Prepare thoroughly for each demo, researching the prospect's context and structuring the session around their specific pain points rather than a generic feature walkthrough Handle functional and technical questions during demonstrations with confidence, distinguishing clearly between current platform capability and the product roadmap Work with sales colleagues to plan and sequence the pre-sales process, advising on when and how to deploy demonstrations, proof-of-concept exercises, and follow-up sessions Coach and support sales colleagues through demonstrations where a subject matter lead is not present, providing briefing materials, talk tracks, and objection-handling guidance Configure AI agents using goals, intent, constraints, guardrails and context to demonstrate real efficiencies that this technology can bring to our clients Solution Design and Proposals Translate prospect requirements into clear, well-structured solution design and scoping documents for internal use and client presentation Map client workflows to platform capabilities, identifying where configuration can meet requirements directly, where bespoke approaches are needed, and where gaps exist Contribute to proposal and RFP responses, providing the functional and technical content that underpins the commercial offer Collaborate closely with Product and Engineering teams to surface recurring customer requirements, implementation patterns, and opportunities for product enhancement. Support proof-of-concept and implementation activities, helping clients configure workflows, troubleshoot issues, and optimise operational adoption. Translate complex compliance and operational requirements into scalable platform configurations, workflow logic, governance controls, and solution designs. Work with clients to operationalise Ruleguard within real-world enterprise environments, including integration into internal systems, workflows, data sources, and approval processes. Maintain a working knowledge of how Ruleguard is configured across different client types, using that pattern recognition to sharpen pre-sales conversations Platform Knowledge and Collateral Develop and maintain deep working knowledge of the Ruleguard platform across all solution modules, including regulatory change, policy management, conflicts of interest, personal account trading, gifts and entertainment, and related areas Stay current with regulatory developments relevant to Ruleguard's client base, ensuring that demonstrations and solution narratives reflect the compliance environment prospects are operating in Contribute to the development of demo environments, scenario libraries, and pre-sales collateral, improving the quality and consistency of how the platform is presented to market What we are looking for in our Solutions Engineer: Compliance and Domain Knowledge Prior experience working within or alongside a risk or compliance function in financial services, whether as a compliance analyst, associate, or officer, or in a consulting or advisory role serving compliance teams Solid working knowledge of core compliance disciplines including regulatory change management, conflicts of interest, policy and procedure governance, and employee monitoring Familiarity with the regulatory environment relevant to asset managers, wealth managers, broker-dealers, or similar regulated firms Genuine curiosity about how regulation is evolving and how technology can help compliance teams keep pace Pre-Sales and Client-Facing Skills Confident and credible in front of senior compliance and risk stakeholders, able to lead a conversation rather than present slides Able to read a room, adapt a demonstration in real time, and handle questions without losing the thread of the narrative Clear written communication; produces documentation that is precise, well-organised, and appropriate for a client audience Technical and Analytical Comfortable learning and administering SaaS platforms; picks up new systems quickly and applies that knowledge practically Proficient with data, dashboards, and reporting, and able to work with the outputs of a compliance platform and interpret them for a client audience Comfortable troubleshooting complex SaaS implementations across integrations, workflow configuration, user permissions, and data quality issues. Familiarity with workflow automation, AI-assisted operations, or agentic SaaS concepts, including approval flows, retrieval-driven workflows, permissions, and human-in-the-loop controls. Familiar with AI tools and their application in compliance operations and the broader GRC technology market Organised and methodical; able to manage multiple pre-sales engagements in parallel without losing track of detail or follow-up If you are looking for a new challenge, please click apply now to be considered as our Solutions Engineer - we d love to hear from you!
Randstad Technologies Recruitment
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Hays Technology
City, London
Senior AI Automation Engineer Please read the below high-level overview of this role first before getting in touch We are building AI engineering capability within our internal tax technology function. This is a hands-on Senior AI Automation Engineer role focused on designing, building and deploying production-grade AI agents, automated workflows and scalable integrations used directly by internal business teams. This role would suit someone who can combine strong Python engineering with practical AI/LLM application experience, Azure cloud capability and enterprise integration skills. If this sounds like a good match for you, contact Lorenz Pasch at Hays Recruitment ASAP My contact details for direct contact are available on my LinkedIn profile Unfortunately, there are no sponsorship options available for this position. The Role You will join a growing internal technology team focused on delivering AI-powered systems into a governed enterprise environment. This is not a research or proof-of-concept role; the focus is on building reliable, production-ready AI tools, automation workflows and reusable engineering components that are adopted by real users. You will work across applied AI, software engineering, automation and platform integration, helping to shape engineering standards while supporting the development of early-career engineers. Key Responsibilities Design and build AI agents and multistep workflows for internal tax and business use cases. Develop Python-based services, automation pipelines and production-grade applications. Integrate AI systems with internal platforms using APIs, authentication and event-driven architectures. Orchestrate workflows across Microsoft AI platforms, Copilot Studio, Azure AI services and internal systems. Build reusable components including connectors, agent tools and shared automation services. Implement CI/CD pipelines for reliable deployment, versioning and release management. Ensure AI solutions are scalable, observable, secure and maintainable in an enterprise environment. Lead technical design discussions, code reviews and engineering best practice. Support junior and early-career engineers through mentoring and technical guidance. Measure outcomes, gather user feedback and iterate solutions based on real-world usage. Skills and Experience Required Strong Python engineering skills, including APIs, testing, modular design and async processing. Experience building production-grade applications, services or automation platforms. Practical experience building AI, LLM, agentic or workflow-based applications. Understanding of AI agents, orchestration patterns, tool use and the limitations of large language models. Experience with Azure OpenAI, Azure AI Foundry, Copilot Studio or similar platforms would be highly beneficial. Strong experience with REST APIs, GraphQL, authentication and system integration. Experience building reusable services, connectors or internal platform components. Knowledge of CI/CD pipelines, Git workflows, automated testing, deployment and monitoring. Experience with Microsoft Azure, including AI services, Azure Functions, containers or Azure Container Apps. Containerisation experience with Docker, Kubernetes or similar technologies would be advantageous. Desirable Experience Experience in tax, finance, accounting, audit, legal, consulting or another regulated environment. Experience with prompt evaluation, prompt/version control or AI governance. Exposure to Microsoft Power Platform or Copilot Studio ecosystems. Experience working with internal platforms, shared services or enterprise automation. Understanding of auditability, security, permissions and human-in-the-loop workflows. Suitable Backgrounds This opportunity may suit someone currently working as a Senior AI Engineer, LLM Engineer, AI Automation Engineer, Applied AI Engineer, AI Platform Engineer, Senior Python Engineer, Python Automation Engineer, Azure AI Engineer, Workflow Automation Engineer, Integration Engineer or Platform Engineer. Benefits Hybrid and flexible working. 27 days' annual leave, with the option to purchase additional days. Health, lifestyle and wellbeing benefits. Financial wellbeing tools and support. Electric car scheme. Access to a virtual GP. Access to a large suite of on-demand learning and development courses. This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents, automation workflows and Python services that have a direct impact on business operations. If interested, call Lorenz Pasch at Hays Recruitment on (phone number removed) ASAP. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Senior AI Automation Engineer Please read the below high-level overview of this role first before getting in touch We are building AI engineering capability within our internal tax technology function. This is a hands-on Senior AI Automation Engineer role focused on designing, building and deploying production-grade AI agents, automated workflows and scalable integrations used directly by internal business teams. This role would suit someone who can combine strong Python engineering with practical AI/LLM application experience, Azure cloud capability and enterprise integration skills. If this sounds like a good match for you, contact Lorenz Pasch at Hays Recruitment ASAP My contact details for direct contact are available on my LinkedIn profile Unfortunately, there are no sponsorship options available for this position. The Role You will join a growing internal technology team focused on delivering AI-powered systems into a governed enterprise environment. This is not a research or proof-of-concept role; the focus is on building reliable, production-ready AI tools, automation workflows and reusable engineering components that are adopted by real users. You will work across applied AI, software engineering, automation and platform integration, helping to shape engineering standards while supporting the development of early-career engineers. Key Responsibilities Design and build AI agents and multistep workflows for internal tax and business use cases. Develop Python-based services, automation pipelines and production-grade applications. Integrate AI systems with internal platforms using APIs, authentication and event-driven architectures. Orchestrate workflows across Microsoft AI platforms, Copilot Studio, Azure AI services and internal systems. Build reusable components including connectors, agent tools and shared automation services. Implement CI/CD pipelines for reliable deployment, versioning and release management. Ensure AI solutions are scalable, observable, secure and maintainable in an enterprise environment. Lead technical design discussions, code reviews and engineering best practice. Support junior and early-career engineers through mentoring and technical guidance. Measure outcomes, gather user feedback and iterate solutions based on real-world usage. Skills and Experience Required Strong Python engineering skills, including APIs, testing, modular design and async processing. Experience building production-grade applications, services or automation platforms. Practical experience building AI, LLM, agentic or workflow-based applications. Understanding of AI agents, orchestration patterns, tool use and the limitations of large language models. Experience with Azure OpenAI, Azure AI Foundry, Copilot Studio or similar platforms would be highly beneficial. Strong experience with REST APIs, GraphQL, authentication and system integration. Experience building reusable services, connectors or internal platform components. Knowledge of CI/CD pipelines, Git workflows, automated testing, deployment and monitoring. Experience with Microsoft Azure, including AI services, Azure Functions, containers or Azure Container Apps. Containerisation experience with Docker, Kubernetes or similar technologies would be advantageous. Desirable Experience Experience in tax, finance, accounting, audit, legal, consulting or another regulated environment. Experience with prompt evaluation, prompt/version control or AI governance. Exposure to Microsoft Power Platform or Copilot Studio ecosystems. Experience working with internal platforms, shared services or enterprise automation. Understanding of auditability, security, permissions and human-in-the-loop workflows. Suitable Backgrounds This opportunity may suit someone currently working as a Senior AI Engineer, LLM Engineer, AI Automation Engineer, Applied AI Engineer, AI Platform Engineer, Senior Python Engineer, Python Automation Engineer, Azure AI Engineer, Workflow Automation Engineer, Integration Engineer or Platform Engineer. Benefits Hybrid and flexible working. 27 days' annual leave, with the option to purchase additional days. Health, lifestyle and wellbeing benefits. Financial wellbeing tools and support. Electric car scheme. Access to a virtual GP. Access to a large suite of on-demand learning and development courses. This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents, automation workflows and Python services that have a direct impact on business operations. If interested, call Lorenz Pasch at Hays Recruitment on (phone number removed) ASAP. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
