111 jobs found

Senior Automation Test Engineer Contract - Rate (D.o.E) Sheffield - Hybrid (up to 3 days in office) Role Summary We are looking for a highly skilled Automation Test engineer with expertise in Identity and Access management (IAM) back-end validation. Skilled in identity orchestration, API testing, data ingestion and transformation, and event-driven (Pub/Sub) architectures. This role focuses on testing secure, scalable identity and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications. Using an automation first approach, you will collaborate closely with tech leads, Cloud Security, DevOps, and Application Engineering teams to thoroughly test robust IAM, identity lifecycle workflows, and secure service integrations that support enterprise-level cloud and Identity operations. Key Responsibilities Build and maintain an automated test framework and suites for API, event, and graph-based services (Python/PyTest). Define and execute test plans/cases/data aligned to requirements and technical specs; maintain FR/NFR traceability. Validate IAM concepts and access models (RBAC/ABAC/ReBAC/PBAC) and test decision points "as code" (policy-as-code). Perform API automation, contract testing, and replay/reprocessing scenarios. Validate graph data (nodes/relationships/hop logic) and event lineage/change behaviour. Experience in Neo4J is preferred. Produce regulatory evidence as required; support entry/exit criteria and test governance activities. Create/manage Jenkins pipelines to manage tests executions and reporting as part of CI/CD. Log, track, and drive defects through triage to closure (JIRA/ Zephyr); communicate progress to stakeholders. Collaborate with Cloud Security, DevOps, and Engineering teams; contribute to improving testability and quality. Skills required Deep IAM domain knowledge Solid experience of at least 3 years in a senior automation role, skilled in creating frameworks with strong coding experience e.g Java, Playwright, Python, Typescript, Cypher, Scala and API tooling (such as Insomnia, Apidog or Postman) Graph and event-driven validation Automation-first test experience Layered test architecture Risk-based test prioritisation RBAC / ABAC / ReBAC / PBAC OPA / Rego policy testing Policy explainability validation REST API automation, API Gateway testing, Batch ETL testing Consumer-driven contract testing Replay and reprocessing testing Graph data validation (Neo4j) Containerised test execution Cloud testing approaches and methodology, especially GCP, but also AWS, Azure, Entra, Ali Cloud and other systems such as ServiceNow, AD, ADLDS Some knowledge of JMeter, Gatling, LoadRunner, NeoLoad or similar tools for load, stress, and volume testing including any licensing requirements, configuration, dashboards and reporting Experience of testing graph database management systems (GDBMS) Graph platform engineering, Neo4j Basics GDBMS Performance Analysis Testing functions and decision points "As Code", such as Policy as code Extensive experience using JIRA and Xephyr tooling Good experience of executing defined test plans including coordination, tracking and reporting Positive team player working as part of the overall test team, Any exposure to SailPoint IdentityIQ, Identity warehousing, and working with protocols and formats for data ingestion such as SCIM, REST API, LDAP, OIDC and CSV DevOps & CI/CD Integration - Experience of GitOps Repos. Ability to integrate automation tests into GitLab CI/CD pipelines and implement shift-left testing practices Pub Sub and MQ

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!

Principal Software Engineer We are looking for a highly experienced Principal Software Engineer with strong backend engineering expertise and a passion for scalable distributed systems. You will play a key role in shaping architecture, engineering standards, and technical direction across the platform. Join a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Principal Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern, scalable core banking platform. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £100,000 To £120,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Driving architectural decisions across distributed systems and cloud infrastructure Leading technical design reviews and influencing engineering best practices Mentoring engineers and helping scale a high-performing engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Principal Engineers play a key role in technical strategy, architecture governance and engineering direction Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Proven experience designing and scaling complex distributed systems Strong architectural leadership experience Experience mentoring or leading senior engineers/teams Ability to influence technical direction across multiple workstreams Experience operating within high-scale or regulated environments Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Opportunity to shape the architecture of a next-generation banking platform High level of technical autonomy and influence Ability to help define engineering practices in an AI-assisted development environment Enjoy the freedom of remote-first work with regular in-person meetings. High trust, low bureaucracy and a culture of respect & accountability. Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers

Head of Engineering - Java, Javascript, Cloud, Healthcare Up to 850 per day (Inside IR35) London / Hybrid (3 days onsite) 6 months My client is a high-profile organisation seeking a Head of Engineering to lead a team of Software Engineering Managers, driving the development and transformation of technology products. This role requires deep technical expertise (Java, Javascript, Azure / GCP) and a proven ability to build high-performing engineering functions in fast-paced, complex environments. You will play a key role in a wider transformation programme, introducing modern engineering practices, improving architecture, and delivering scalable, consumer-facing digital products. Key Requirements: Proven experience as a Head of Engineering or senior engineering leader in large, complex environments Strong track record of leading Engineering Managers and building high-performing teams Hands-on technical background across Java, Javascript and cloud (Azure / GCP), including distributed systems Experience in fast-paced, modern engineering environments Expertise in scalable architecture, reliability and performance Ability to navigate and simplify complex technical challenges Experience delivering consumer-facing products (frontend + backend awareness) Proven track record in driving engineering transformation Strong stakeholder management and communication skills Flexible approach to hybrid working and occasional travel Nice to have: Degree in Computer Science or related field Strong CS fundamentals (data structures, algorithms, problem solving) Healthcare / HealthTech experience Immediate availability If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 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)

TECHNICAL LEAD Salary £80-90,000 Hybrid working - 2 days per week in a Liverpool city centre office Opportunity to shape a brand-new platform and influence technical strategy Work within a senior, AI-first engineering environment KEY POINTS Senior technical leadership role with significant architectural ownership Leading the design and development of a modern platform rebuild Strong focus on Node.js, TypeScript, React and cloud technologies Opportunity to shape engineering standards, architecture and AI adoption ABOUT THE CLIENT We're supporting an established technology-led organisation that is investing heavily in the future of its engineering function. Following continued growth and a major platform transformation programme, they are looking to appoint a Technical Lead to play a key role in defining both the technical direction and engineering standards of the business. This is an opportunity to join at a pivotal stage, working within a highly experienced team that values innovation, collaboration and modern software engineering practices. THE TECHNICAL LEAD ROLE: This is a highly influential technical leadership role where you'll help shape the future of a modern, large-scale platform whilst remaining hands-on with development. You'll lead the design and delivery of scalable backend services, APIs, integrations and data flows, whilst providing architectural guidance across the wider engineering team. Although the role is backend-focused, you'll also maintain strong involvement across the full stack, working with modern frontend technologies and cloud infrastructure. Working closely with Product teams, stakeholders and fellow engineers, you'll help establish engineering standards, drive adoption of AI-assisted development practices and provide technical mentorship across the team. The organisation has embraced an AI-first approach to software engineering, making extensive use of modern AI tooling and spec-driven development practices. You'll play a key role in shaping how these technologies are utilised across the engineering function. This role offers genuine autonomy, giving you the opportunity to influence technology decisions, development processes and long-term platform strategy whilst remaining close to the code. TECHNICAL LEAD ESSENTIAL SKILLS Strong commercial experience with Node.js and TypeScript Experience with React and Next.js Proven track record designing and delivering scalable software architectures Cloud experience across Azure, AWS or GCP Strong understanding of API design, integrations and distributed systems Experience providing technical leadership and mentoring engineers Passion for modern engineering practices and AI-assisted development Excellent stakeholder management and communication skills Strong understanding of software architecture and engineering best practice THE BENEFITS Hybrid working model with two office days per week Annual training and conference budget Private healthcare Company bonus scheme Investment in modern tooling and AI-powered development platforms Active social and charity events calendar Opportunity to influence technical strategy and platform direction TO BE CONSIDERED: Please either apply through this advert or email me directly via

Senior Software Engineer London (Hybrid) 90,000 - 100,000 Here at Data Idols, we're working with an innovative technology business that is scaling a cutting-edge AI-powered platform used by enterprise clients globally. As the platform continues to grow, they're looking for a Senior Software Engineer to play a key role in shaping its future architecture, scalability and technical direction. This is an opportunity to join a high-performing engineering team where you'll have genuine influence over architecture, technology decisions, product direction and engineering standards. The Opportunity As a Senior Software Engineer, you'll take ownership of key platform components from design through to deployment, optimisation and ongoing support. Working within a modern cloud-native environment, you'll help design, build and scale an AI-powered platform that is entering a significant growth phase and supporting increasingly large enterprise customer bases. This is a highly visible role where you'll collaborate closely with product and engineering leadership to shape technical roadmaps, influence architecture decisions and contribute to the long-term evolution of the platform. You'll be responsible for delivering high-quality, resilient software, improving engineering processes and tooling, and driving best practice across development, testing, deployment and monitoring. Skills and Experience Strong commercial experience developing software using both Python and TypeScript Experience building and operating applications within AWS and/or GCP environments Strong understanding of scalable system design Hands-on experience with CI/CD pipelines and modern engineering practices Experience building resilient, cloud-native applications If you're an experienced software engineer looking to work on complex technical challenges within a modern AI-focused environment, we'd love to hear from you. Senior Software Engineer

DevOps Lead - AI-Enabled Software Engineering Location: Reading (Hybrid) Permanent We are seeking an experienced and hands-on DevOps Lead to join a leading digital infrastructure organisation undergoing significant technology transformation. This is a unique opportunity to lead a high-performing software engineering team while driving the adoption of AI-assisted development practices across the software delivery lifecycle. As DevOps Lead, you will be responsible for setting the technical direction, owning the engineering roadmap, and ensuring the successful delivery and ongoing support of bespoke cloud-based applications. You will combine strong leadership capabilities with hands-on software development experience, leveraging modern AI-powered engineering tools to improve delivery speed, quality, and developer productivity. The Opportunity You will lead an Agile software development team comprising engineers, analysts, and QA specialists responsible for building and maintaining business-critical applications for internal users, customers, and external partners. This role offers the opportunity to shape engineering best practices, modernise development processes, and drive innovation through AI-enabled software delivery. Key Responsibilities Leadership & Delivery Lead and mentor a cross-functional software development team in an Agile environment. Define and execute the technical roadmap, ensuring alignment with business objectives. Drive the successful delivery of cloud-based applications and digital initiatives. Collaborate closely with business stakeholders to manage priorities, expectations, risks, and dependencies. Ensure projects are delivered on time, within scope, and to a high standard of quality. Technical Ownership Own the end-to-end technology stack including frontend, backend, APIs, databases, cloud infrastructure, and CI/CD pipelines. Ensure solutions align with enterprise architecture, scalability, performance, and security standards. Champion DevOps best practices including automation, monitoring, observability, and operational excellence. Maintain robust security controls, vulnerability management, and compliance standards. AI-Assisted Engineering Act as a hands-on contributor to software development activities. Drive adoption of AI-assisted coding tools such as GitHub Copilot, Cursor, and code generation platforms. Establish best practices for safe, secure, and effective AI-assisted development. Embed AI-enabled workflows across design, coding, testing, documentation, and knowledge management. Ensure AI-generated outputs meet engineering, security, and architectural standards. Evaluate emerging AI technologies and identify opportunities to enhance engineering productivity and delivery capability. Skills & Experience Required Proven experience leading software engineering or DevOps teams. Strong background delivering cloud-native applications within Agile environments. Experience with public cloud platforms including AWS, Azure, or GCP. Strong understanding of full-stack development, APIs, databases, and software architecture. Expertise with source control, CI/CD automation, and DevOps tooling such as Git, Jenkins, Jira, Azure DevOps, or similar technologies. Experience implementing monitoring, observability, and operational support practices. Excellent stakeholder management and communication skills. Demonstrated experience using AI-assisted development tools and integrating them into engineering workflows. Desirable Experience Experience establishing AI governance and secure AI development standards. Exposure to integrating AI tooling into CI/CD pipelines and software delivery processes. Understanding of prompt engineering, code validation, and AI risk management. Experience working within highly regulated or security-conscious environments. Qualifications Degree in Computer Science, Software Engineering, Computer Systems, Electronic Engineering, or a related discipline. Why Apply? This is an opportunity to play a key role in shaping the future of software engineering within a technology-driven organisation. You'll have the autonomy to influence technical strategy, lead a talented team, and drive the adoption of cutting-edge AI-assisted development practices while delivering solutions that have a significant business impact. Project People is acting as an Employment Agency in relation to this vacancy.

Enterprise Application Architect - 2 YR FTC Location: London (Hybrid Working - 2 days a week in the office) Contract: Fixed-Term Contract (2 Years) Salary: Up to 84,600 per annum plus excellent benefits About the Role An established client based in London is seeking an experienced Enterprise Application Architect to help shape and deliver its digital transformation strategy. Working within the Enterprise Architecture function, you will define and govern target-state application architecture, develop strategic roadmaps, and ensure technology investments align with institutional priorities. You will provide architectural leadership across major programmes and operational services, influence senior stakeholders, support application modernisation and portfolio rationalisation initiatives, and act as deputy to the Head of Enterprise Architecture when required. Key Responsibilities Define and maintain enterprise application architecture strategy, standards, principles and governance. Produce TOGAF-aligned architecture artefacts, including principles, roadmaps, gap analyses and transition architectures. Lead application portfolio rationalisation, modernisation and legacy retirement initiatives. Develop and govern target-state application architecture across projects and services. Evaluate emerging technologies, including AI and automation platforms. Define integration architecture strategy and support integration platform evolution. Ensure alignment across business, data, technology and application architecture domains. Embed security-by-design, data integration principles and architecture governance. Support cloud-smart strategies across Azure, hybrid and multi-cloud environments. Provide leadership, mentoring and guidance to architects and technical teams. Influence technology strategy, investment decisions and architectural roadmaps. Essential Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, Systems Analysis or a related discipline, or equivalent experience. TOGAF Enterprise Architecture Practitioner certification. Working knowledge of ArchiMate or a comparable enterprise architecture modelling framework. Essential Experience Extensive experience in Enterprise and Application Architecture within large, complex organisations. Significant experience producing TOGAF-aligned architecture deliverables, including roadmaps, target architectures and transition plans. Strong experience using enterprise architecture tools such as ArchiMate, Sparx Enterprise Architect, Ardoq or similar. Experience applying cloud-smart architecture strategies, with Azure expertise essential and AWS/GCP desirable. Deep understanding of application architecture patterns, lifecycle management and enterprise architecture governance. Experience leading application portfolio rationalisation and transformation programmes. Experience embedding automation-first and AI-enabled approaches across application estates. Experience defining integration architecture strategies and supporting integration platform evolution. Experience aligning application architecture with business, data and technology domains. Experience mentoring architects and operating in a senior or deputy leadership capacity. Understanding of ITSM and ITIL frameworks within managed application environments. Essential Skills Ability to balance long-term architectural strategy with short-term delivery priorities. Strong analytical, planning and enterprise-scale decision-making skills. Excellent written, verbal and stakeholder communication skills. Ability to influence, guide and facilitate decision-making at all levels. Ability to communicate complex technical concepts to technical and non-technical audiences. Strong understanding of IT standards, controls and governance frameworks. Ability to assess and communicate the strategic, operational and financial impact of technology decisions. Ability to solve complex architecture challenges, including application rationalisation, legacy retirement and emerging technology evaluation. Desirable Experience with automation platforms and intelligent automation technologies. Experience evaluating AI and automation platforms within an enterprise architecture context. Personal Attributes Technology and vendor-neutral, with the ability to evaluate solutions objectively. Demonstrates intellectual curiosity, integrity and professional credibility. Passionate about shaping a future-focused application estate and driving digital transformation. Strong leadership and people management capabilities. Recognised as a credible authority in application architecture with the ability to influence senior stakeholders. Additional Information This is an excellent opportunity to join a forward-thinking organisation and play a key role in shaping its future technology landscape through enterprise architecture leadership and digital transformation. Salary: Up to 84,600 per annum Contract: Fixed-Term (24 Months) Location: London / Hybrid Working 2 days a week in the office To apply, please submit your CV and supporting statement outlining your suitability for the role to (url removed) Services advertised are those of an Employment Agency.

Data & AI Delivery Consultant Manchester About the Role A leading consulting and technology firm is seeking a Data & AI Delivery Consultant to join their team in Manchester on a hybrid basis. This is a senior-level opportunity open to candidates at Manager through to Associate Director level focused on delivering large-scale Data and AI transformation programmes for major Financial Services clients. You will work directly with senior banking stakeholders, leading complex programmes that span data, AI, governance, and organisational change, translating technical complexity into measurable business outcomes. Key Responsibilities - Lead end-to-end delivery of large-scale data and AI transformation programmes - Manage cross-functional teams spanning both business and technology workstreams - Drive implementation, remediation, and advisory activities across the programme lifecycle - Partner with senior client leadership to align delivery to strategic objectives - Translate technical requirements and data platform capabilities into clear business outcomes What We're Looking For - A proven track record delivering large-scale data or AI programmes in complex environments - Strong programme leadership and senior stakeholder management skills - Experience working within banking or regulated Financial Services - Solid understanding of modern data platforms and AI transformation approaches - Excellent communication and consulting skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous

AI Engineers & Technical AI Leaders Scotland Hybrid AI Engineer Financial Services (Hybrid) Join a leading consulting and technology firm building production-grade AI solutions across banking, risk, fraud and enterprise platforms. The role: - Build AI-enabled platforms and intelligent workflows - Work with LLMs, RAG pipelines and embedding models - Develop scalable backend services and AI integrations - Collaborate across engineering, architecture and business teams - Support AI deployment, governance and operational rollout Tech environment: Python/SQL LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases FastAPI/APIs AWS/Azure/GCP/Databricks CI/CD, MLOps/LLMOps What you'll bring: - Strong software or data engineering foundations - Experience delivering AI or AI-enabled solutions - Exposure to cloud and modern data platforms - Financial Services or regulated industry experience (essential) - Strong communication and stakeholder skills Levels: Engineer to Senior Manager Open to a confidential chat about the market? Apply or get in touch directly.

Data & AI Delivery Consultancy - FS Scotland A leading consulting and technology firm is seeking a Data & AI Delivery Consultant to join their team in Manchester on a hybrid basis. This is a senior-level opportunity open to candidates at Manager through to Associate Director level focused on delivering large-scale Data and AI transformation programmes for major Financial Services clients. You will work directly with senior banking stakeholders, leading complex programmes that span data, AI, governance, and organisational change, translating technical complexity into measurable business outcomes. Key Responsibilities - Lead end-to-end delivery of large-scale data and AI transformation programmes - Manage cross-functional teams spanning both business and technology workstreams - Drive implementation, remediation, and advisory activities across the programme lifecycle - Partner with senior client leadership to align delivery to strategic objectives - Translate technical requirements and data platform capabilities into clear business outcomes What We're Looking For - A proven track record delivering large-scale data or AI programmes in complex environments - Strong programme leadership and senior stakeholder management skills - Experience working within banking or regulated Financial Services - Solid understanding of modern data platforms and AI transformation approaches - Excellent communication and consulting skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous

AI Engineer - FS consulting London A leading consulting and technology firm is seeking AI Engineers and Technical AI Leaders to join their team in London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms and intelligent workflows, working with large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What We're Looking For The ideal candidate will bring strong foundations in software or data engineering, combined with hands-on experience delivering AI or AI-enabled solutions in a professional environment. You should have exposure to cloud platforms and modern data infrastructure, and experience working within Financial Services or another regulated industry is essential. Technical skills relevant to this role include Python and SQL, LLM development techniques such as prompt engineering, fine-tuning and RAG, frameworks including LangChain and LangGraph, agent frameworks, vector databases, FastAPI, and cloud platforms such as AWS, Azure, GCP or Databricks. Familiarity with CI/CD, MLOps and LLMOps practices is also expected. Strong communication skills and the ability to engage effectively with stakeholders across technical and business functions are important at all levels.

Data & AI Delivery Consultant London Hybrid Data & AI Delivery Consultant London (Hybrid) Join a leading consulting and technology firm delivering large-scale Data & AI transformation for major Financial Services clients. You'll lead complex delivery programmes spanning data, AI, governance and change working directly with senior banking stakeholders to turn technical complexity into business results. The role: - Lead large-scale data and AI transformation programmes - Manage cross-functional delivery teams (business + tech) - Drive implementation, remediation and advisory work - Partner with senior client leadership - Translate technical requirements into business outcomes Tech environment: Azure / AWS / GCP Databricks Snowflake Power BI Python SQL Jira Confluence Agile/SAFe What you'll bring: - Track record delivering large-scale data or AI programmes - Strong stakeholder and programme leadership - Banking or regulated Financial Services experience - Solid grasp of modern data platforms and AI transformation - Excellent communication and consulting skills Levels: Manager to Associate Director Open to a confidential chat about the Data & AI delivery market? Apply or get in touch directly.

AI Solution Architects & Technical AI Leaders Manchester Hybrid AI Solution Architect Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients moving AI beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong stakeholder engagement and communication skills Levels:Manager to Associate Director Open to a confidential chat about the AI architecture market? Apply or get in touch directly.

AI Solution Architect - FS Consulting A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in Scotland on a hybrid working model, these roles focus on moving AI beyond proof of concept into secure, production-grade deployment across regulated financial environments. Key Responsibilities Design AI and GenAI architecture strategies and roadmaps that align with enterprise objectives. Build scalable AI/ML and Agentic AI platforms, working across large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data platforms. Demonstrable exposure to scalable AI deployment and integration patterns is essential, as is experience within financial services or another regulated industry. Strong stakeholder engagement and communication skills are required, with the ability to advise at a senior client level. Seniority levels considered range from Manager to Associate Director, and applications from candidates across this spectrum are welcomed.

Overview Provide technical leadership across development teams to ensure the design and delivery of high-quality, scalable, and maintainable software solutions. The role combines hands-on development expertise with leadership responsibilities, translating business requirements into robust technical solutions while driving engineering excellence, delivery consistency, and collaboration across onshore and offshore teams. Responsibilities Technical Leadership & Solution Delivery Lead the design and development of key features, components, and services across the application stack Provide hands-on guidance in building scalable applications using React, Node.js, and TypeScript Own critical technical decisions, ensuring alignment with architectural standards and long-term scalability goals Act as the primary escalation point for complex technical challenges and design issues Solution Design & Requirement Translation Translate business and functional requirements into technical designs and implementation plans Collaborate with product owners, business analysts, and stakeholders to refine requirements and define solution approaches Produce and review technical design documentation, API specifications, and architectural artefacts Engineering Excellence & Governance Define and enforce coding standards, development best practices, and quality benchmarks Conduct code reviews to ensure maintainability, performance, and security compliance Ensure adherence to DevSecOps practices, including CI/CD, automated testing, and secure coding Monitor and improve non-functional requirements such as performance, scalability, reliability, and resilience Team Leadership & Offshore Coordination Guide and mentor offshore and distributed development teams, ensuring alignment to delivery standards Allocate tasks, oversee progress, and provide regular technical direction to team members Facilitate knowledge transfer, technical upskilling, and team capability development Ensure effective coordination between onshore and offshore teams, managing dependencies and delivery risks Collaboration & Stakeholder Engagement Work closely with architects, QA teams, DevOps engineers, and business stakeholders Participate in and contribute to design reviews, sprint planning, and governance forums Communicate technical decisions, risks, and progress clearly to both technical and non-technical audiences Delivery & Agile Execution Support Agile delivery processes including backlog refinement, sprint planning, estimation, and retrospectives Ensure timely and predictable delivery of features aligned with sprint and programme objectives Identify risks and proactively implement mitigation strategies Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent experience Essential skills Core Technologies Front-end: React.js, HTML5, CSS3, JavaScript (ES6+), TypeScript Back-end: Node.js (Express.js/NestJS) API Development: RESTful services, microservices architecture Databases: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) Architecture & Design Strong understanding of software architecture patterns (microservices, layered architecture, event-driven systems) Experience with scalable and cloud-native solution design Knowledge of system integration patterns and API design principles DevOps & Cloud Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Familiarity with cloud platforms (Azure/AWS/GCP) Exposure to containerisation (Docker) and orchestration (Kubernetes) Engineering Practices Strong grounding in clean code principles and design patterns (SOLID, DRY) Experience with test automation, code quality tools, and static analysis Understanding of security best practices and compliance requirements Experience Overall experience with strong hands-on development background Proven experience in technical leadership or senior development roles Experience delivering enterprise-scale applications in Agile environments Exposure to distributed delivery models (onshore/offshore teams) Non-Functional Expectations Strong leadership, mentoring, and team management capabilities Excellent communication and stakeholder engagement skills Ability to balance technical depth with delivery and business priorities Proactive problem-solving and decision-making mindset High level of accountability and ownership Expected Outcomes & Success Measures Solution Quality & Delivery Delivery of high-quality, scalable, and production-ready solutions aligned with business requirements Strong alignment between functional requirements and technical implementation Reduction in defects and improved system stability Team Performance & Coordination Efficient coordination between onshore and offshore teams, resulting in predictable delivery outcomes Improved team productivity, technical capability, and adherence to standards Engineering Excellence Consistent enforcement of coding standards, architecture principles, and best practices Measurable improvements in code quality, test coverage, and deployment reliability Stakeholder Value Positive stakeholder feedback on solution quality, responsiveness, and collaboration Contribution to successful delivery of programme and release milestones Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible Communicating and promoting vacancies Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people "We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age". We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Location Bristol, Manchester About the job Job summary The Government Digital Service (GDS) is the digital centre of government. We are responsible for setting, leading and delivering the vision for a modern digital government. Our priorities are to drive a modern digital government, by: joining up public sector services harnessing the power of AI for the public good strengthening and extending our digital and data public infrastructure elevating leadership and investing in talent funding for outcomes and procuring for growth and innovation committing to transparency and driving accountability We are home to the Incubator for Artificial Intelligence (I.AI), the world-leading GOV.UK and at the forefront of coordinating the UK's geospatial strategy and activity. We lead the Government Digital and Data function and champion the work of digital teams across government. We're part of the Department for Science, Innovation and Technology (DSIT) and employ more than 1,000 people all over the UK, with hubs in Manchester, London and Bristol. The Government Digital Service is where talent translates into impact. From your first day, you'll be working with some of the world's most highly-skilled digital professionals, all contributing their knowledge to make change on a national scale. Join us for rewarding work that makes a difference across the UK. You'll solve some of the nation's highest-priority digital challenges, helping millions of people access services they need GOV.UK is the trusted online home for government information and services, every week millions of people rely on it to complete essential and often life-changing tasks. GOV.UK also supports government colleagues to publish content, ensuring accurate and accessible information is always available to the public. Job description As a Performance Analyst you'll: deliver analysis, especially using digital analytics, to help product owners make decisions based on evidence help the project team to measure and assess outcomes, for example, 'what success looks like', developing hypotheses and measurement frameworks identify where user experience can be improved and working with teams to overcome barriers work closely with user researchers to combine the 'what' and 'why' of user behaviour provide recommendations for action based on user data in easily understandable and engaging ways - such as show and tells, blog posts, dashboards, slide deck presentations work on GA4 data layer implementations from start to finish, including planning, designing schema, deployment, and ongoing optimisation be utilising Google Tag Manager (GTM) and SQL, enabling you to implement and troubleshoot GA4 tagging be feeding into data architecture plans that ensure accurate and reliable data collection. Including setting up and maintaining data validation processes specific to GA4, and contributing to data processing pipelines that create clean, and useful analytics outputs contribute to the performance analysis community; assisting with training and knowledge sharing of digital analysis principles to wider audiences and expanding your own and others' performance analysis skills Person specification We're interested in people who: can demonstrate strong proficiency with digital analytics platforms, such as Google Analytics (specifically GA4) working with high volumes of data are experienced using analytical environments to evaluate and analyse data, including GCP (Google Cloud Platform), for example tools such as Google BigQuery, Dataform, social media analytics and APIs have experience in creating performance frameworks - specifically what good looks like and how it should be measured (KPIs) possess experience of working in an agile, project-based environment, focussed on delivering user needs succeed in developing implementation strategies - including data architecture, quality assurance and administration have knowledge in running A/B and multivariate testing, including the selection and setting up of appropriate tooling understand and have practical experience of using different data tools to transform and analyse different data sets. Understanding of and practical experience with data analysis and visualisation tools, e.g. Looker Studio and languages e.g. SQL or python can gather and understand technical requirements. Is able to work collaboratively with developers and other data professions to support building suitable technical solutions such as analytics tracking or data pipelines demonstrates strong attention to detail when working with data to ensure accuracy and reliability

Data Migration Lead Contract: 450- 550 per day Location: London, 1 day per week We are currently looking for a Senior Business Data Migration Lead (Data Architecture & Discovery) to join a, data-driven team on an initial 3-month contract focused on a critical discovery phase project. Reporting into senior business stakeholders, this person will play a key role in helping the organisation understand, document and future-proof a complex reporting and data infrastructure environment. The successful candidate will act as the bridge between commercial teams and technical data specialists, helping to untangle legacy data processes and define the roadmap for a future-state architecture. This is an ideal opportunity for a Migration Lead who enjoys working at the intersection of business, data and technology, combining stakeholder engagement with hands-on analysis of data pipelines, reporting systems and transformation logic. The Opportunity This assignment focuses on documenting the current data landscape, understanding business requirements and producing a clear blueprint for future delivery. Key responsibilities include: Mapping and documenting the current data architecture and reporting ecosystem Analysing existing Python and Apache Airflow data pipelines Tracing data flows from multiple partner data sources through Google Cloud environments into reporting platforms Reviewing and documenting transformation logic within PostgreSQL Working closely with commercial stakeholders to gather and define business requirements Assessing and rationalising complex taxonomy and mapping structures across multiple reporting domains Conducting audits of existing reporting logic and identifying gaps, risks and dependencies Producing clear technical and business documentation to support future migration and delivery activity Helping define the target-state architecture and delivery roadmap This role offers the opportunity to make a significant impact on a high-profile data transformation programme, providing clarity and direction for future implementation phases. What's in it for you? Competitive day rate Hybrid working arrangement High-impact discovery and transformation project Opportunity to work across business and technical teams Exposure to complex cloud-based data architecture environments Autonomous role with significant stakeholder exposure Skills & Experience Proven experience as a Migration Lead within data-focused environments Strong understanding of data architecture, data lineage and reporting ecosystems Experience documenting complex data flows and business processes Ability to work with technical teams to understand data pipelines and transformation logic Strong stakeholder management and requirements gathering experience Experience working with cloud-based data platforms Excellent documentation and communication skills Experience with Tableau and Power BI environments Knowledge of Google Cloud Platform (GCP) Familiarity with PostgreSQL, Python and Apache Airflow Experience within digital media, publishing, advertising technology or affiliate commerce environments Understanding of programmatic advertising and revenue reporting models Previous experience supporting data migration or modernisation programmes If you would like to be considered for the role and feel you would be an ideal fit, please apply with your latest CV.