A fantastic opportunity for a Head of Engineering / Software Development Manager to join a well established software organisation undergoing a major technical evolution. This is a senior strategic role leading engineering, QA and cloud operations through a significant SaaS migration and AI enablement programme. You will drive organisational development, technical excellence and delivery maturity while guiding the modernisation of a complex product suite used at scale across two main sectors. Location: Hybrid with minimum of 2 days a week in the Milton Keynes office, UK based Salary: 85,000 - 95,000 per annum with excellent benefits and performance bonus Requirements for Head of Engineering: Strong experience leading large engineering organisations delivering enterprise SaaS products, or transforming legacy on premise or hosted products into SaaS models Proven leadership background managing engineering managers and multiple cross functional teams You will have progressed through a Software Developer career path - while this isn't a hands on role, having an incredibly strong technical understanding and knowledge of a range of technologies is very important Strong ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams and embedding quality engineering practices Understanding of SRE principles, Infrastructure as Code and cloud operations in product driven environments Excellent ability to drive collaboration across engineering, product, security, professional services and customer facing teams Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift Responsibilities for Head of Engineering: Lead and develop engineering managers and technical leads, embedding a culture of quality, innovation and customer focus Shape talent strategy, build high performing teams and create clear progression frameworks across engineering Oversee outsourced QA partnership, define quality metrics, integrate QA within agile workflows and drive continuous improvement in automation and quality engineering Lead the evolution of cloud operations into a product aligned SRE function, embedding Infrastructure as Code, reliability principles and operational excellence Partner closely with product, CTO and wider business teams to ensure delivery aligns with strategic priorities Collaborate with sales, customer experience, professional services and implementation teams to support customer transitions Embed security by design in collaboration with information security and compliance teams Provide architectural direction for SaaS migration, cloud native evolution, microservices, API design and AI engineering methodologies Guide the introduction of AI capabilities across the product suite and ensure responsible AI practices, governance and sector aligned compliance Drive platform modernisation, customer migration tooling, integration frameworks and data integrity for large scale transitions Maintain engineering standards covering code quality, documentation, testing, CI/CD, observability and security Establish metrics driven engineering practices and lead initiatives to reduce lead time, improve deployment frequency and optimise reliability Ensure compliance with ISO27001, GDPR, PCI DSS and sector specific requirements Key focus areas for the first 18 to 24 months: Deliver the engineering enablement plan across SaaS and AI objectives Oversee the technical and operational direction of the SaaS transformation Ensure smooth, reliable customer migrations with no service disruption Strengthen organisational capability through structured hiring and development Embed AI engineering maturity, infrastructure and best practice Drive improvements in deployment cadence, reliability and operational excellence What the role offers: Leadership of a high impact engineering function during a major technology transformation The opportunity to shape the future of a complex product suite used at scale Collaborative, people focused working culture with strong professional development pathways Applications: If you would like to apply for this unique Head of Engineering position, please send your CV via the relevant links. We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (url removed). If this email address has been removed by the job board, our full contact details are available on our website.
Dec 06, 2025
Full time
A fantastic opportunity for a Head of Engineering / Software Development Manager to join a well established software organisation undergoing a major technical evolution. This is a senior strategic role leading engineering, QA and cloud operations through a significant SaaS migration and AI enablement programme. You will drive organisational development, technical excellence and delivery maturity while guiding the modernisation of a complex product suite used at scale across two main sectors. Location: Hybrid with minimum of 2 days a week in the Milton Keynes office, UK based Salary: 85,000 - 95,000 per annum with excellent benefits and performance bonus Requirements for Head of Engineering: Strong experience leading large engineering organisations delivering enterprise SaaS products, or transforming legacy on premise or hosted products into SaaS models Proven leadership background managing engineering managers and multiple cross functional teams You will have progressed through a Software Developer career path - while this isn't a hands on role, having an incredibly strong technical understanding and knowledge of a range of technologies is very important Strong ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams and embedding quality engineering practices Understanding of SRE principles, Infrastructure as Code and cloud operations in product driven environments Excellent ability to drive collaboration across engineering, product, security, professional services and customer facing teams Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift Responsibilities for Head of Engineering: Lead and develop engineering managers and technical leads, embedding a culture of quality, innovation and customer focus Shape talent strategy, build high performing teams and create clear progression frameworks across engineering Oversee outsourced QA partnership, define quality metrics, integrate QA within agile workflows and drive continuous improvement in automation and quality engineering Lead the evolution of cloud operations into a product aligned SRE function, embedding Infrastructure as Code, reliability principles and operational excellence Partner closely with product, CTO and wider business teams to ensure delivery aligns with strategic priorities Collaborate with sales, customer experience, professional services and implementation teams to support customer transitions Embed security by design in collaboration with information security and compliance teams Provide architectural direction for SaaS migration, cloud native evolution, microservices, API design and AI engineering methodologies Guide the introduction of AI capabilities across the product suite and ensure responsible AI practices, governance and sector aligned compliance Drive platform modernisation, customer migration tooling, integration frameworks and data integrity for large scale transitions Maintain engineering standards covering code quality, documentation, testing, CI/CD, observability and security Establish metrics driven engineering practices and lead initiatives to reduce lead time, improve deployment frequency and optimise reliability Ensure compliance with ISO27001, GDPR, PCI DSS and sector specific requirements Key focus areas for the first 18 to 24 months: Deliver the engineering enablement plan across SaaS and AI objectives Oversee the technical and operational direction of the SaaS transformation Ensure smooth, reliable customer migrations with no service disruption Strengthen organisational capability through structured hiring and development Embed AI engineering maturity, infrastructure and best practice Drive improvements in deployment cadence, reliability and operational excellence What the role offers: Leadership of a high impact engineering function during a major technology transformation The opportunity to shape the future of a complex product suite used at scale Collaborative, people focused working culture with strong professional development pathways Applications: If you would like to apply for this unique Head of Engineering position, please send your CV via the relevant links. We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (url removed). If this email address has been removed by the job board, our full contact details are available on our website.
A fantastic opportunity for a Head of Engineering / Software Development Manager to join a well established software organisation undergoing a major technical evolution. This is a senior strategic role leading engineering, QA and cloud operations through a significant SaaS migration and AI enablement programme. You will drive organisational development, technical excellence and delivery maturity while guiding the modernisation of a complex product suite used at scale across two main sectors. Location: Hybrid with minimum of 2 days a week in the Milton Keynes office, UK based Salary: £85,000 - £95,000 per annum with excellent benefits and performance bonus Requirements for Head of Engineering: Strong experience leading large engineering organisations delivering enterprise SaaS products, or transforming legacy on premise or hosted products into SaaS models Proven leadership background managing engineering managers and multiple cross functional teams You will have progressed through a Software Developer career path - while this isn't a hands on role, having an incredibly strong technical understanding and knowledge of a range of technologies is very important Strong ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams and embedding quality engineering practices Understanding of SRE principles, Infrastructure as Code and cloud operations in product driven environments Excellent ability to drive collaboration across engineering, product, security, professional services and customer facing teams Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift Responsibilities for Head of Engineering: Lead and develop engineering managers and technical leads, embedding a culture of quality, innovation and customer focus Shape talent strategy, build high performing teams and create clear progression frameworks across engineering Oversee outsourced QA partnership, define quality metrics, integrate QA within agile workflows and drive continuous improvement in automation and quality engineering Lead the evolution of cloud operations into a product aligned SRE function, embedding Infrastructure as Code, reliability principles and operational excellence Partner closely with product, CTO and wider business teams to ensure delivery aligns with strategic priorities Collaborate with sales, customer experience, professional services and implementation teams to support customer transitions Embed security by design in collaboration with information security and compliance teams Provide architectural direction for SaaS migration, cloud native evolution, microservices, API design and AI engineering methodologies Guide the introduction of AI capabilities across the product suite and ensure responsible AI practices, governance and sector aligned compliance Drive platform modernisation, customer migration tooling, integration frameworks and data integrity for large scale transitions Maintain engineering standards covering code quality, documentation, testing, CI/CD, observability and security Establish metrics driven engineering practices and lead initiatives to reduce lead time, improve deployment frequency and optimise reliability Ensure compliance with ISO27001, GDPR, PCI DSS and sector specific requirements Key focus areas for the first 18 to 24 months: Deliver the engineering enablement plan across SaaS and AI objectives Oversee the technical and operational direction of the SaaS transformation Ensure smooth, reliable customer migrations with no service disruption Strengthen organisational capability through structured hiring and development Embed AI engineering maturity, infrastructure and best practice Drive improvements in deployment cadence, reliability and operational excellence What the role offers: Leadership of a high impact engineering function during a major technology transformation The opportunity to shape the future of a complex product suite used at scale Collaborative, people focused working culture with strong professional development pathways Applications: If you would like to apply for this unique Head of Engineering position, please send your CV via the relevant links. We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing app
Dec 05, 2025
Full time
A fantastic opportunity for a Head of Engineering / Software Development Manager to join a well established software organisation undergoing a major technical evolution. This is a senior strategic role leading engineering, QA and cloud operations through a significant SaaS migration and AI enablement programme. You will drive organisational development, technical excellence and delivery maturity while guiding the modernisation of a complex product suite used at scale across two main sectors. Location: Hybrid with minimum of 2 days a week in the Milton Keynes office, UK based Salary: £85,000 - £95,000 per annum with excellent benefits and performance bonus Requirements for Head of Engineering: Strong experience leading large engineering organisations delivering enterprise SaaS products, or transforming legacy on premise or hosted products into SaaS models Proven leadership background managing engineering managers and multiple cross functional teams You will have progressed through a Software Developer career path - while this isn't a hands on role, having an incredibly strong technical understanding and knowledge of a range of technologies is very important Strong ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams and embedding quality engineering practices Understanding of SRE principles, Infrastructure as Code and cloud operations in product driven environments Excellent ability to drive collaboration across engineering, product, security, professional services and customer facing teams Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift Responsibilities for Head of Engineering: Lead and develop engineering managers and technical leads, embedding a culture of quality, innovation and customer focus Shape talent strategy, build high performing teams and create clear progression frameworks across engineering Oversee outsourced QA partnership, define quality metrics, integrate QA within agile workflows and drive continuous improvement in automation and quality engineering Lead the evolution of cloud operations into a product aligned SRE function, embedding Infrastructure as Code, reliability principles and operational excellence Partner closely with product, CTO and wider business teams to ensure delivery aligns with strategic priorities Collaborate with sales, customer experience, professional services and implementation teams to support customer transitions Embed security by design in collaboration with information security and compliance teams Provide architectural direction for SaaS migration, cloud native evolution, microservices, API design and AI engineering methodologies Guide the introduction of AI capabilities across the product suite and ensure responsible AI practices, governance and sector aligned compliance Drive platform modernisation, customer migration tooling, integration frameworks and data integrity for large scale transitions Maintain engineering standards covering code quality, documentation, testing, CI/CD, observability and security Establish metrics driven engineering practices and lead initiatives to reduce lead time, improve deployment frequency and optimise reliability Ensure compliance with ISO27001, GDPR, PCI DSS and sector specific requirements Key focus areas for the first 18 to 24 months: Deliver the engineering enablement plan across SaaS and AI objectives Oversee the technical and operational direction of the SaaS transformation Ensure smooth, reliable customer migrations with no service disruption Strengthen organisational capability through structured hiring and development Embed AI engineering maturity, infrastructure and best practice Drive improvements in deployment cadence, reliability and operational excellence What the role offers: Leadership of a high impact engineering function during a major technology transformation The opportunity to shape the future of a complex product suite used at scale Collaborative, people focused working culture with strong professional development pathways Applications: If you would like to apply for this unique Head of Engineering position, please send your CV via the relevant links. We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing app
At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group. Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry's best talent. Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders, and society. We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent. Aberdeen comprises three businesses, interactive investor (ii), Investments, and Adviser, each of which focuses on meeting and adapting to our clients' evolving needs: interactive investor, the UK's second largest direct-to-consumer investment platform, enables individuals in the UK to plan, save, and invest in the way that works for them. Our Adviser business provides financial planning solutions and technology for UK financial advisers, enabling them to create value for their customers. Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Department The Cloud Platform Engineering team is a key capability within the Cloud Capability function. The team works collaboratively across the Group COO, business stakeholders, CoEs & Product Owners connecting development, security and operations. It is responsible for creating and maintaining the platform that is driving our transition to cloud and adoption of modern development practices. About the Role As a Senior Development Enablement Engineer, you will play a pivotal role in enhancing the productivity, efficiency, and satisfaction of software development teams. You will design, build, and maintain tools, systems, and processes that streamline the development life cycle, from coding and testing to deployment and monitoring, while embedding security at every stage. Your objectives are to remove friction, reduce cognitive load, and empower developers to deliver high-quality and secure software faster and more reliably. Key Responsibilities Develop and maintain internal tools, scripts, and platforms that improve developer workflows (eg, CI/CD pipelines, code quality checks, security scanning). Identify pain points in the developer journey and implement solutions to improve onboarding, documentation, and day-to-day development tasks. Work closely with product engineers, DevOps, QA, and security teams to understand needs and advocate for best practices in software development. Define and track key metrics related to developer productivity and system performance. Use data to drive continuous improvement. Support infrastructure provisioning and management using tools like Terraform. Document systems and processes clearly. Lead internal workshops, brown bags, or tech talks to share knowledge and promote adoption of tools and practices. About the Candidate The ideal candidate will possess the following: Experience with observability tools (eg, Grafana, Prometheus, Datadog). Background in DevOps, SRE, or platform engineering with a security first mindset. Strong programming skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD tools (eg, GitHub Actions, ADO Pipelines). Familiarity with containerization and orchestration (eg, Docker, Kubernetes). Understanding of Azure. Excellent problem-solving and communication skills. Passion for improving developer workflows and internal tooling. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process. Our benefits There's more to working life than coming home with a good salary. We have an environment where you can learn, get involved and be supported. When you join us, your reward will be one of the best around. This includes 40 days' annual leave, a 16% employer pension contribution, a discretionary performance-based bonus (where applicable), private healthcare and a range of flexible benefits - including gym discounts, season ticket loans and access to an employee discount portal. Our business Enabling our clients to be better investors drives everything we do. Our business is structured around three distinct areas - our vectors of growth - focused on our clients' changing needs. An inclusive way of working Whatever way you like to work, if you have the talent and commitment to join our team, we'd like to hear from you. At Aberdeen we've adopted a blended working' approach. This approach combines the benefits of face-to-face collaboration, coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles, their teams, our clients and our business. An inclusive culture, where diverse perspectives drive our actions, is at the core of who we are and what we do. If you need assistance with your application, or a reasonable adjustment to your interview arrangements - for example, because you are neurodivergent, or have a physical, sensory, cognitive, mental, visible or invisible disability - please let us know and we'll be happy to help. We're committed to providing an inclusive workplace where all forms of difference are valued and which is free from any form of unfair or unlawful treatment. We define diversity in its broadest sense - this includes but is not limited to our diversity of educational and professional backgrounds, experience, cognitive and neurodiversity, age, gender, gender identity, sexual orientation, disability, religion or belief and ethnicity and geographical provenance. We support a culture that values meritocracy, fairness and transparency and welcomes enquiries from everyone. If you need assistance or an adjustment due to a disability please let us know as part of your application and we will assist.
Dec 05, 2025
Full time
At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group. Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry's best talent. Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders, and society. We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent. Aberdeen comprises three businesses, interactive investor (ii), Investments, and Adviser, each of which focuses on meeting and adapting to our clients' evolving needs: interactive investor, the UK's second largest direct-to-consumer investment platform, enables individuals in the UK to plan, save, and invest in the way that works for them. Our Adviser business provides financial planning solutions and technology for UK financial advisers, enabling them to create value for their customers. Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Department The Cloud Platform Engineering team is a key capability within the Cloud Capability function. The team works collaboratively across the Group COO, business stakeholders, CoEs & Product Owners connecting development, security and operations. It is responsible for creating and maintaining the platform that is driving our transition to cloud and adoption of modern development practices. About the Role As a Senior Development Enablement Engineer, you will play a pivotal role in enhancing the productivity, efficiency, and satisfaction of software development teams. You will design, build, and maintain tools, systems, and processes that streamline the development life cycle, from coding and testing to deployment and monitoring, while embedding security at every stage. Your objectives are to remove friction, reduce cognitive load, and empower developers to deliver high-quality and secure software faster and more reliably. Key Responsibilities Develop and maintain internal tools, scripts, and platforms that improve developer workflows (eg, CI/CD pipelines, code quality checks, security scanning). Identify pain points in the developer journey and implement solutions to improve onboarding, documentation, and day-to-day development tasks. Work closely with product engineers, DevOps, QA, and security teams to understand needs and advocate for best practices in software development. Define and track key metrics related to developer productivity and system performance. Use data to drive continuous improvement. Support infrastructure provisioning and management using tools like Terraform. Document systems and processes clearly. Lead internal workshops, brown bags, or tech talks to share knowledge and promote adoption of tools and practices. About the Candidate The ideal candidate will possess the following: Experience with observability tools (eg, Grafana, Prometheus, Datadog). Background in DevOps, SRE, or platform engineering with a security first mindset. Strong programming skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD tools (eg, GitHub Actions, ADO Pipelines). Familiarity with containerization and orchestration (eg, Docker, Kubernetes). Understanding of Azure. Excellent problem-solving and communication skills. Passion for improving developer workflows and internal tooling. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process. Our benefits There's more to working life than coming home with a good salary. We have an environment where you can learn, get involved and be supported. When you join us, your reward will be one of the best around. This includes 40 days' annual leave, a 16% employer pension contribution, a discretionary performance-based bonus (where applicable), private healthcare and a range of flexible benefits - including gym discounts, season ticket loans and access to an employee discount portal. Our business Enabling our clients to be better investors drives everything we do. Our business is structured around three distinct areas - our vectors of growth - focused on our clients' changing needs. An inclusive way of working Whatever way you like to work, if you have the talent and commitment to join our team, we'd like to hear from you. At Aberdeen we've adopted a blended working' approach. This approach combines the benefits of face-to-face collaboration, coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles, their teams, our clients and our business. An inclusive culture, where diverse perspectives drive our actions, is at the core of who we are and what we do. If you need assistance with your application, or a reasonable adjustment to your interview arrangements - for example, because you are neurodivergent, or have a physical, sensory, cognitive, mental, visible or invisible disability - please let us know and we'll be happy to help. We're committed to providing an inclusive workplace where all forms of difference are valued and which is free from any form of unfair or unlawful treatment. We define diversity in its broadest sense - this includes but is not limited to our diversity of educational and professional backgrounds, experience, cognitive and neurodiversity, age, gender, gender identity, sexual orientation, disability, religion or belief and ethnicity and geographical provenance. We support a culture that values meritocracy, fairness and transparency and welcomes enquiries from everyone. If you need assistance or an adjustment due to a disability please let us know as part of your application and we will assist.
AI Evangelist - Financial Services (12-Month Contract) Location: Blackfriars, London (Onsite, 5 days per week) Contract: Inside IR35 Rate: 800 per day Duration: 12 months Role Overview We are seeking an AI Evangelist with strong financial services experience to lead the adoption and integration of advanced AI solutions across banking, trading, and insurance environments. This role combines technical leadership, strategic advisory, and thought leadership to deliver AI-driven transformation in highly regulated, mission-critical settings. Key Responsibilities Financial AI Solutions: Design and implement AI-powered applications for investment banking, trading platforms, and insurance workflows. Business Translation: Convert complex AI concepts into actionable insights for technical teams and senior executives in financial contexts. Enablement & Training: Deliver workshops and training sessions focused on AI adoption within banking and insurance operations. Thought Leadership: Produce technical blogs, white papers, and internal documentation showcasing AI's impact on financial innovation. Strategic Advisory: Advise C-level executives and heads of engineering/architecture on AI strategy aligned with financial regulations. Industry Engagement: Represent the organization at finance-focused conferences and forums to promote responsible AI adoption. Compliance Alignment: Ensure all AI solutions meet strict regulatory, risk, and ethical standards in financial services. Prototyping & Deployment: Build and deploy AI models for market forecasting, risk analytics, automated underwriting, and AML detection. Technical Leadership Architect and implement agent-based AI systems and generative code workflows for financial applications. Oversee design reviews and code quality for AI-assisted development, maintaining best practices in Python and other languages. Establish robust testing and validation frameworks for AI-generated code, including prompt engineering and compliance checks. Mentor engineering teams and set standards for mixed human/AI development environments. Collaborate with DevOps, security, and product teams to accelerate safe adoption of AI-driven features. Essential Qualifications Degree in Computer Science, Data Science, Finance, or related discipline. Proven experience in financial services or fintech -ideally within investment banking, trading, or insurance. Strong programming skills in Python, plus experience with languages such as Java, C++, or Go. Familiarity with modern UI frameworks (TypeScript, Node.js). Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) applied to financial datasets. Minimum 4 years in AI-focused roles within finance or technical consulting, with exposure to regulatory compliance. Deep understanding of AI ethics, governance, and data privacy in regulated environments. Exceptional communication and stakeholder engagement skills. Preferred Skills Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA). Experience building RAG pipelines and agentic workflows for enterprise financial applications. Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools and AI evaluation frameworks. Strong grasp of containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace for production reliability. Ideal Candidate Traits Analytical and innovative mindset with a passion for AI-driven transformation in finance. Skilled communicator who can bridge technical and business perspectives. Advocate for ethical AI practices and secure deployment in mission-critical financial environments.
Dec 04, 2025
Contractor
AI Evangelist - Financial Services (12-Month Contract) Location: Blackfriars, London (Onsite, 5 days per week) Contract: Inside IR35 Rate: 800 per day Duration: 12 months Role Overview We are seeking an AI Evangelist with strong financial services experience to lead the adoption and integration of advanced AI solutions across banking, trading, and insurance environments. This role combines technical leadership, strategic advisory, and thought leadership to deliver AI-driven transformation in highly regulated, mission-critical settings. Key Responsibilities Financial AI Solutions: Design and implement AI-powered applications for investment banking, trading platforms, and insurance workflows. Business Translation: Convert complex AI concepts into actionable insights for technical teams and senior executives in financial contexts. Enablement & Training: Deliver workshops and training sessions focused on AI adoption within banking and insurance operations. Thought Leadership: Produce technical blogs, white papers, and internal documentation showcasing AI's impact on financial innovation. Strategic Advisory: Advise C-level executives and heads of engineering/architecture on AI strategy aligned with financial regulations. Industry Engagement: Represent the organization at finance-focused conferences and forums to promote responsible AI adoption. Compliance Alignment: Ensure all AI solutions meet strict regulatory, risk, and ethical standards in financial services. Prototyping & Deployment: Build and deploy AI models for market forecasting, risk analytics, automated underwriting, and AML detection. Technical Leadership Architect and implement agent-based AI systems and generative code workflows for financial applications. Oversee design reviews and code quality for AI-assisted development, maintaining best practices in Python and other languages. Establish robust testing and validation frameworks for AI-generated code, including prompt engineering and compliance checks. Mentor engineering teams and set standards for mixed human/AI development environments. Collaborate with DevOps, security, and product teams to accelerate safe adoption of AI-driven features. Essential Qualifications Degree in Computer Science, Data Science, Finance, or related discipline. Proven experience in financial services or fintech -ideally within investment banking, trading, or insurance. Strong programming skills in Python, plus experience with languages such as Java, C++, or Go. Familiarity with modern UI frameworks (TypeScript, Node.js). Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) applied to financial datasets. Minimum 4 years in AI-focused roles within finance or technical consulting, with exposure to regulatory compliance. Deep understanding of AI ethics, governance, and data privacy in regulated environments. Exceptional communication and stakeholder engagement skills. Preferred Skills Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA). Experience building RAG pipelines and agentic workflows for enterprise financial applications. Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools and AI evaluation frameworks. Strong grasp of containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace for production reliability. Ideal Candidate Traits Analytical and innovative mindset with a passion for AI-driven transformation in finance. Skilled communicator who can bridge technical and business perspectives. Advocate for ethical AI practices and secure deployment in mission-critical financial environments.
AI Evangelist - Inside IR35 - Hybrid Role Overview The Senior AI Evangelist plays a pivotal hands-on role in shaping and driving the responsible adoption of Artificial Intelligence across the organization. This position bridges the gap between cutting-edge AI technologies and real-world financial business needs, influencing both strategy and execution. The role requires deep technical expertise, exceptional communication skills, and a passion for translating AI innovation into meaningful business impact across investment banking, trading, insurance, and broader financial ecosystems. Key Responsibilities - Evangelism & Strategy Solution Innovation: Build and demonstrate AI-powered solutions tailored to financial applications, including use cases in investment banking, trading, and insurance. AI Storytelling: Translate complex AI concepts into clear, actionable business value for both technical and non-technical stakeholders, including executive leadership. Education & Enablement: Lead workshops, seminars, and training sessions to improve AI literacy and upskill teams across banking, investment, or insurance environments. Executive Advisory: Provide advisory-level guidance to CxOs, Heads of Engineering, and Heads of Architecture on AI strategy, enterprise architecture, and emerging technology trends. Industry Influence: Represent the organization at conferences, webinars, and industry forums to position the firm as a leader in responsible AI adoption in finance. Regulatory Alignment: Collaborate with compliance, risk, and IT teams to ensure AI solutions adhere to stringent financial-sector regulatory, ethical, and governance standards. AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML). Key Technical & Design Responsibilities Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems and generative code workflows using LLMs, automation agents, and code generation tools within secure production environments. Technical Leadership: Oversee solution design, implementation, and code reviews-particularly for code created or augmented by AI-to ensure security, scalability, and maintainability across Python and other languages. AI Reliability & Governance: Develop and maintain rigorous testing/validation frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks. Cross-Functional Collaboration: Work closely with DevOps, Security, Product, and Business teams to drive rapid, safe integration of agentic and generative AI features into enterprise systems. Essential Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related field. Experience with high-level programming languages such as C++, Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Dec 04, 2025
Contractor
AI Evangelist - Inside IR35 - Hybrid Role Overview The Senior AI Evangelist plays a pivotal hands-on role in shaping and driving the responsible adoption of Artificial Intelligence across the organization. This position bridges the gap between cutting-edge AI technologies and real-world financial business needs, influencing both strategy and execution. The role requires deep technical expertise, exceptional communication skills, and a passion for translating AI innovation into meaningful business impact across investment banking, trading, insurance, and broader financial ecosystems. Key Responsibilities - Evangelism & Strategy Solution Innovation: Build and demonstrate AI-powered solutions tailored to financial applications, including use cases in investment banking, trading, and insurance. AI Storytelling: Translate complex AI concepts into clear, actionable business value for both technical and non-technical stakeholders, including executive leadership. Education & Enablement: Lead workshops, seminars, and training sessions to improve AI literacy and upskill teams across banking, investment, or insurance environments. Executive Advisory: Provide advisory-level guidance to CxOs, Heads of Engineering, and Heads of Architecture on AI strategy, enterprise architecture, and emerging technology trends. Industry Influence: Represent the organization at conferences, webinars, and industry forums to position the firm as a leader in responsible AI adoption in finance. Regulatory Alignment: Collaborate with compliance, risk, and IT teams to ensure AI solutions adhere to stringent financial-sector regulatory, ethical, and governance standards. AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML). Key Technical & Design Responsibilities Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems and generative code workflows using LLMs, automation agents, and code generation tools within secure production environments. Technical Leadership: Oversee solution design, implementation, and code reviews-particularly for code created or augmented by AI-to ensure security, scalability, and maintainability across Python and other languages. AI Reliability & Governance: Develop and maintain rigorous testing/validation frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks. Cross-Functional Collaboration: Work closely with DevOps, Security, Product, and Business teams to drive rapid, safe integration of agentic and generative AI features into enterprise systems. Essential Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related field. Experience with high-level programming languages such as C++, Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Our client, a prominent player in the insurtech sector, is seeking a passionate and skilled Java Software Engineer to join their dynamic team. This permanent role will involve working closely with engineering squads, architects, and platform teams to ensure the company's APIs are well-designed, discoverable, versioned, and aligned with modern integration patterns. The ideal candidate will also guide the adoption of API tooling and platforms such as TIBCO, Apigee, or Azure API Management, enhancing the developer experience both internally and externally. Key Responsibilities: Technical Leadership & API Strategy Define and maintain the organisation's API strategy, including standards for design, documentation, versioning, security, and lifecycle management. Establish and evolve reusable API design patterns, working closely with architects and platform teams. Guide platform adoption and integration of API gateway/orchestration tools (e.g., TIBCO, Apigee, Azure API Management). Support consistent enforcement of API governance policies, authentication mechanisms, and API analytics. Contribute to the long-term roadmap for API enablement, developer tooling, and discoverability. Design, Development & Enablement Design and build Spring Boot-based APIs that are scalable, testable, and well-structured. Lead or support squads in the delivery of high-impact integration solutions across services and platforms. Collaborate on reusable API assets such as SDKs, templates, shared schemas, and common middleware. Implement robust error handling, logging, and observability across services and endpoints. Promote automation of API tests, documentation, contract validation, and pipeline integration. Collaboration & Engineering Maturity Act as a subject matter expert for APIs across squads and tribes, supporting design reviews, peer mentoring, and training. Participate in planning, backlog refinement, and sprint activities as a senior technical voice. Collaborate with architecture, security, and governance teams to align APIs with organisational principles. Contribute to Chapter and Guild forums, raising the bar for API engineering across the organisation. Lead efforts to reduce technical debt, improve platform resilience, and accelerate onboarding for new API consumers. Job Requirements: Technical Expertise Essential: Strong commercial experience building APIs using Java and Spring Boot in a production environment. Deep knowledge of RESTful API design, including best practices for resource modelling, pagination, and error handling. Proven experience with API versioning strategies, backward compatibility, and lifecycle management. Familiarity with OpenAPI/Swagger specifications and API documentation tooling. Solid understanding of API security, including OAuth2, API keys, scopes, JWT, and rate limiting. Strong testing experience, including contract testing, unit, integration, and end-to-end tests. Proficiency with CI/CD pipelines, Git workflows, and infrastructure-as-code concepts. Desirable: Experience with API gateway/orchestration platforms, such as TIBCO, Apigee, or Azure API Management. Experience with asynchronous patterns, such as event-driven architecture or messaging queues (e.g., Kafka, RabbitMQ). Familiarity with containerisation (Docker) and deployment in Kubernetes environments. Exposure to GraphQL and other modern API approaches. Behavioural Competencies Strategic Thinking: Aligns API design and platform tooling with organisational goals and future scalability. Technical Leadership: Mentors engineers, shares best practices, and supports consistent implementation across teams. Collaboration: Works across squads, architecture, and platform areas to unify integration approaches. Communication: Explains complex API design choices clearly to technical and non-technical audiences. Accountability: Takes ownership of engineering quality, platform reliability, and strategic delivery. Continuous Improvement: Identifies opportunities to simplify, standardise, or automate aspects of API delivery. Resilience & Knowledge Sharing: Encourages documentation, reusable assets, and team resilience through shared learning. Benefits: Permanent position with opportunities for career growth Work within a leading insurtech company Access to continuous professional development and training Supportive and collaborative team environment Comprehensive employee benefits package If you are a Java Software Engineer looking for a dynamic role within the insurtech industry, we would love to hear from you. Apply now to join our client's innovative team.
Oct 03, 2025
Full time
Our client, a prominent player in the insurtech sector, is seeking a passionate and skilled Java Software Engineer to join their dynamic team. This permanent role will involve working closely with engineering squads, architects, and platform teams to ensure the company's APIs are well-designed, discoverable, versioned, and aligned with modern integration patterns. The ideal candidate will also guide the adoption of API tooling and platforms such as TIBCO, Apigee, or Azure API Management, enhancing the developer experience both internally and externally. Key Responsibilities: Technical Leadership & API Strategy Define and maintain the organisation's API strategy, including standards for design, documentation, versioning, security, and lifecycle management. Establish and evolve reusable API design patterns, working closely with architects and platform teams. Guide platform adoption and integration of API gateway/orchestration tools (e.g., TIBCO, Apigee, Azure API Management). Support consistent enforcement of API governance policies, authentication mechanisms, and API analytics. Contribute to the long-term roadmap for API enablement, developer tooling, and discoverability. Design, Development & Enablement Design and build Spring Boot-based APIs that are scalable, testable, and well-structured. Lead or support squads in the delivery of high-impact integration solutions across services and platforms. Collaborate on reusable API assets such as SDKs, templates, shared schemas, and common middleware. Implement robust error handling, logging, and observability across services and endpoints. Promote automation of API tests, documentation, contract validation, and pipeline integration. Collaboration & Engineering Maturity Act as a subject matter expert for APIs across squads and tribes, supporting design reviews, peer mentoring, and training. Participate in planning, backlog refinement, and sprint activities as a senior technical voice. Collaborate with architecture, security, and governance teams to align APIs with organisational principles. Contribute to Chapter and Guild forums, raising the bar for API engineering across the organisation. Lead efforts to reduce technical debt, improve platform resilience, and accelerate onboarding for new API consumers. Job Requirements: Technical Expertise Essential: Strong commercial experience building APIs using Java and Spring Boot in a production environment. Deep knowledge of RESTful API design, including best practices for resource modelling, pagination, and error handling. Proven experience with API versioning strategies, backward compatibility, and lifecycle management. Familiarity with OpenAPI/Swagger specifications and API documentation tooling. Solid understanding of API security, including OAuth2, API keys, scopes, JWT, and rate limiting. Strong testing experience, including contract testing, unit, integration, and end-to-end tests. Proficiency with CI/CD pipelines, Git workflows, and infrastructure-as-code concepts. Desirable: Experience with API gateway/orchestration platforms, such as TIBCO, Apigee, or Azure API Management. Experience with asynchronous patterns, such as event-driven architecture or messaging queues (e.g., Kafka, RabbitMQ). Familiarity with containerisation (Docker) and deployment in Kubernetes environments. Exposure to GraphQL and other modern API approaches. Behavioural Competencies Strategic Thinking: Aligns API design and platform tooling with organisational goals and future scalability. Technical Leadership: Mentors engineers, shares best practices, and supports consistent implementation across teams. Collaboration: Works across squads, architecture, and platform areas to unify integration approaches. Communication: Explains complex API design choices clearly to technical and non-technical audiences. Accountability: Takes ownership of engineering quality, platform reliability, and strategic delivery. Continuous Improvement: Identifies opportunities to simplify, standardise, or automate aspects of API delivery. Resilience & Knowledge Sharing: Encourages documentation, reusable assets, and team resilience through shared learning. Benefits: Permanent position with opportunities for career growth Work within a leading insurtech company Access to continuous professional development and training Supportive and collaborative team environment Comprehensive employee benefits package If you are a Java Software Engineer looking for a dynamic role within the insurtech industry, we would love to hear from you. Apply now to join our client's innovative team.
