823 jobs found

Role: Infrastructure Engineer (Azure Platform Migration) Location: London, UK Duration: 6-Month Contract(Inside IR35) Job Overview We are looking for an experienced Infrastructure Engineer with 6 to 10 years of professional expertise, focusing on Microsoft Azure Infrastructure, Cloud Migration, and DevOps frameworks. Core Requirements (Must Have) Extensive hands-on expertise with Microsoft Azure Infrastructure Services, covering Compute, Networking, Storage, Identity, and Security. Deep involvement in Azure Migration Projects, including comprehensive assessment, deployment, validation, and cutover execution. Strong command over Infrastructure as Code (IaC) utilizing Terraform, Bicep, or ARM Templates. Practical experience with Azure Monitor, Log Analytics, Datadog, CI/CD Pipelines, and environment automation using PowerShell or Azure CLI. Preferred Qualifications (Nice to Have) Familiarity with Azure Kubernetes Service (AKS) and containerized workflows. Knowledge surrounding Azure Data Services, such as ADLS Gen2, Event Grid, SQL, alongside Snowflake connectivity configurations. Familiarity with Cloud Governance frameworks, Cost Optimization strategies, Azure Advisor, and enterprise Tagging Standards. Prior exposure to AIOps (AI-driven Operations), anomaly detection mechanisms, and proactive monitoring strategies. Professional & Soft Skills Exceptional troubleshooting capabilities and structured problem-solving skills. Polished stakeholder communication skills with an aptitude for cross-functional collaboration. Capability to deliver autonomously inside highly fluid and fast-paced project settings. A strong commitment to knowledge transfer, documentation standards, and operational readiness. Key Technical Competencies Mandatory Core Skills: Architecture Principle Design, Azure Infra Services, Azure Monitor, CI/CD Architecture Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Lead AI Security Architect - Azure Open AI, AI Foundry Up to 800 per day (Inside IR35) London / Hybrid (1 day per week onsite) 6 months initially My client is looking for a Lead AI Security Architect to drive the secure adoption of AI technologies across a regulated enterprise. This is a highly technical role suited to someone from an engineering, cloud security or AI security background who understands how AI solutions are built, deployed and secured in practice. Governance knowledge is useful, but this is not a GRC or audit-focused position. Key Requirements Strong AI Security, Cloud Security or Security Architecture background. Hands-on experience securing LLMs, GenAI, RAG solutions and AI agents. Experience with Azure OpenAI, AI Foundry and ideally GCP Vertex AI. AI threat modelling, red teaming, prompt injection testing and security control design. Engineering-led mindset with a strong understanding of AI, machine learning and data platforms. Experience implementing AI security controls including AI gateways, prompt filtering and output sanitisation. Ability to engage senior stakeholders whilst remaining technically hands-on Nice to Have Healthcare, insurance, financial services or other regulated sector experience Exposure to data science or machine learning environments. Experience with Palo Alto AI Security or similar AI security tooling. Knowledge of NIST AI RMF, OWASP LLM Top 10 and ISO 42001 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)

Agentic Technical Lead (Contract) Location: London (On-site) Contract: Contract About the RoleWe're a specialist AI consultancy that partners with CEOs, executive leadership teams, and Family Offices to turn AI ambition into measurable commercial outcomes. Rather than building technology for technology's sake, we focus on delivering practical AI solutions that reduce costs, increase revenue, and create sustainable competitive advantage. Our consultants work on complex, high-impact engagements across multiple industries, helping organisations design and implement AI strategies while avoiding wasted investment, vendor lock-in, and unnecessary operational risk. You'll work directly with senior decision-makers and play a key role in delivering enterprise-grade AI solutions from strategy through to implementation. We're looking for an experienced Agentic Technical Lead to lead the architecture, development, and deployment of advanced agentic AI systems across a portfolio of consulting engagements. The RoleAs an Agentic Technical Lead, you'll provide technical leadership across multiple AI transformation projects, working closely with clients to understand business objectives and translate them into scalable, secure, and production-ready AI solutions. You'll lead technical discovery workshops, define solution architectures, oversee implementation, and ensure successful delivery from proof of concept through to production. Working alongside engineers, data specialists, and business stakeholders, you'll establish technical standards, review solution designs, and drive engineering excellence throughout the delivery lifecycle. This is a hands-on leadership role requiring both deep technical expertise and strong consulting skills. You'll regularly engage with senior executives, communicate technical concepts in a commercially meaningful way, and help shape AI strategies that deliver measurable business value. Key Responsibilities Lead the design, architecture, and delivery of agentic AI solutions for consulting engagements. Translate business challenges into scalable AI architectures and technical roadmaps. Guide multidisciplinary engineering teams through end-to-end solution delivery. Conduct technical discovery sessions with senior stakeholders and executive teams. Review architecture, code quality, and engineering standards to ensure robust delivery. Evaluate AI tools, frameworks, and platforms to recommend the most appropriate technologies. Run proofs of concept and technical experiments to validate solution approaches. Ensure solutions meet requirements for security, scalability, governance, and compliance. Document technical decisions, risks, and outcomes for both technical and executive audiences. Mentor engineers and contribute to the continuous improvement of delivery methodologies and best practices. About YouYou'll combine strong technical capability with a consulting mindset, enjoying the challenge of solving complex business problems through AI. You'll have: Significant experience leading AI, machine learning, or agentic AI projects from concept through production. Strong software engineering skills using languages such as Python or TypeScript. Experience designing cloud-native solutions on AWS, Azure, or Google Cloud Platform. Expertise in systems architecture, APIs, integration patterns, and modern data pipelines. A track record of translating business objectives into practical technical solutions. Experience leading technical teams and coordinating delivery across multiple workstreams. Knowledge of AI governance, security, risk management, and responsible AI practices. Excellent communication skills with experience working directly with executive stakeholders. A degree in Computer Science, Engineering, Mathematics, or a related discipline, or equivalent commercial experience. Why Join Us?This is an opportunity to work on some of the most commercially impactful AI programmes in the market, partnering directly with senior business leaders on strategic transformation initiatives. You'll be part of a collaborative consultancy environment where technical excellence, commercial thinking, and measurable outcomes are equally valued. Every engagement presents new challenges, industries, and opportunities to shape how organisations adopt and scale AI responsibly. If you're passionate about building production-ready agentic AI systems and want to combine deep technical leadership with meaningful business impact, we'd love to hear from you. Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.

Senior Full-Stack Contractor (Platform & Data Contracts) Job Summary Join a high-impact engineering team during an exciting discovery MVP phase. This team builds platform tools to manage data contracts at the code level, driving overall data quality and preventing incidents across personalization engines and key stakeholder systems. Contract Details Duration: 6 Months Engagement Type: Contract (Individual Contributor) Key Responsibilities Lead frontend development while contributing to backend and infrastructure tasks ( 60-70% Frontend / 30-40% Backend & Data). Architect and build platform-level tooling and software interfaces for data contract management. Partner with engineering teams to integrate data contract workflows into existing development pipelines. Requirements Senior Frontend Expertise: Strong mastery of JavaScript (core skill requirement). Platform Experience: Proven background in internal platform or developer-tooling engineering (rather than pure consumer feature delivery). Full-Stack & Infra: Working knowledge of Java and general cloud infrastructure. AI Tooling: Comfort utilizing AI coding tools to accelerate delivery. Bonus: Experience or background in data engineering or data quality frameworks. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Solution Architect Location: Remote (98% remote with very occasional travel to London or Manchester) Rate: 650 per day Inside IR35 Duration: Contract until 30th June 2027 YOU MUST HOLD SC CLEARENCE WITH THE HOME OFFICE & HAVE NPPV3 CLEARANCE We are seeking an experienced Solution Architect to join a major organisational transformation programme focused on aligning multiple organisations, business units, and user communities to a unified Target Operating Model (TOM). This is an exciting opportunity to play a pivotal role in shaping end-to-end solution designs that will support large-scale business transformation, service integration, platform onboarding, and operational change. Working across business, technology, service management, and transformation teams, you will be responsible for delivering practical, scalable, and sustainable solutions that align with both strategic business objectives and enterprise architecture standards. Key ResponsibilitiesSolution Design & Architecture Lead solution design activities across the transformation programme. Develop end-to-end solution designs supporting the implementation of the Target Operating Model. Design solutions spanning people, processes, technology, data, services and governance. Ensure solutions promote standardisation, scalability, supportability and long-term sustainability. Maintain clear traceability between business requirements and solution outcomes. Organisational Transformation Support the onboarding and integration of multiple organisations and user communities onto common platforms and services. Assess current-state operating models, business processes and technology landscapes. Identify impacts, dependencies, risks and opportunities associated with organisational transition. Contribute to transition planning and implementation activities. Support business readiness and adoption initiatives throughout the programme lifecycle. Business & Technical Analysis Collaborate with Business Analysts, Architects, Service Integration teams and key stakeholders to gather and refine requirements. Facilitate workshops to capture business, operational and technical needs. Produce and maintain functional and non-functional requirements documentation. Analyse existing processes and identify opportunities for simplification and harmonisation. Ensure solution designs remain aligned to transformation objectives and desired business outcomes. Platform & Service Integration Define how applications, platforms, services and operational processes integrate within the future-state environment. Ensure consistency of design across business, technology and service management domains. Support the integration of users and services into common governance and support frameworks. Work closely with Service Integration, Infrastructure, Application and Security teams to deliver cohesive solutions. Design solutions with operational supportability and service management considerations in mind. Governance & Assurance Produce high-quality solution documentation, design artefacts and supporting materials. Ensure compliance with enterprise architecture standards, design principles and policies. Support design reviews, governance processes and assurance activities. Maintain solution integrity from design through to implementation. Stakeholder Management Engage with programme leaders, operational teams, technical specialists and business stakeholders. Build strong relationships across multiple transformation workstreams. Present design options, recommendations and analysis to support informed decision-making. Facilitate alignment between programme objectives and stakeholder expectations. Risk & Dependency Management Identify design risks, assumptions, issues and dependencies. Assess the impact of solution decisions on business operations, users, platforms and services. Support mitigation planning and issue resolution activities. Ensure cross-workstream dependencies are understood, managed and communicated effectively. Essential Skills & Experience Significant experience in Solution Architecture, Solution Design, Systems Analysis or Technical Design roles. Proven track record supporting large-scale organisational transformation programmes. Strong ability to translate complex business requirements into practical end-to-end solutions. Experience designing solutions across people, process, technology and service management domains. Excellent understanding of business process design and operating model transformation. Experience working with diverse stakeholder groups within complex enterprise environments. Knowledge of systems integration, platform onboarding and service adoption activities. Ability to balance strategic objectives with practical delivery requirements. Strong analytical, problem-solving and documentation skills. Excellent communication, stakeholder engagement and workshop facilitation experience. Desirable Experience Experience working within complex enterprise-scale transformation programmes. Knowledge of service management frameworks and governance models. Experience supporting multi-organisation integration or merger-related transformation initiatives. 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)

AI Engineer Sheffield Permanent The Role As an AI Engineer, you will be responsible for the design, implementation, and ongoing management of AI platforms, intelligent agents, and supporting infrastructure. You'll combine hands-on technical delivery with strategic input, ensuring AI solutions are scalable, secure, and aligned with organisational objectives. Key Responsibilities AI Platform & Infrastructure Design, implement, and maintain enterprise AI infrastructure across cloud and on-premise environments. Develop scalable architectures for AI workloads, including model hosting, vector databases, orchestration layers, APIs, and data pipelines. Integrate AI platforms with business-critical systems, data platforms, collaboration tools, and operational applications. Produce and maintain architecture documentation, operational procedures, and technical standards. AI Agents & Automation Design, develop, and manage AI agents, copilots, and workflow automation solutions. Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data. Develop intelligent assistants supporting operational, engineering, customer service, and business functions. Implement multi-agent workflows and orchestration frameworks. Monitor and optimise AI solution performance, reliability, security, and cost efficiency. Governance & Compliance Ensure AI solutions align with security, governance, and compliance requirements. Support data governance, privacy, risk management, and lifecycle policies for AI-enabled systems. Maintain standards and documentation relating to AI usage, access control, and governance frameworks. Contribute to responsible AI practices and organisational AI governance initiatives. Stakeholder Engagement Partner with teams across the organisation to identify and prioritise AI opportunities. Support user adoption, training, and change management activities. Translate complex technical concepts into clear business language for non-technical stakeholders. Act as a trusted advisor on AI technologies and best practices. About You Essential Skills & Experience Proven experience designing, building, and deploying AI/ML solutions within enterprise environments. Strong Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures, and LLM orchestration frameworks. Experience with cloud technologies, networking, identity and access management, and security controls. Experience integrating AI solutions with Microsoft 365 technologies, collaboration platforms, and SQL-based databases. Strong experience working within AWS environments and services. Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. Knowledge graph technologies. Data lake and analytics platforms. Experience supporting organisation-wide AI adoption programmes.

Shape the Future of Digital Services We're looking for an experienced and forward-thinking Lead Solutions Architect to join our ICT & Digital team. This is a key leadership role responsible for shaping the Councils' application and data architecture, ensuring our business systems, integrations and digital platforms support the delivery of high-quality services to residents, businesses and colleagues. You'll lead a small team of technical specialists, providing direction, coaching and support while working closely with business teams, suppliers and project stakeholders to deliver innovative digital solutions. The role combines strategic architecture leadership with hands-on oversight of system integration, technical delivery and service improvement activities What You'll Be Doing As Lead Solutions Architect you will: Lead the design, implementation and continuous improvement of business applications, integrations and digital services. Provide technical leadership across application architecture, data architecture and systems integration. Manage and develop a team of technical professionals, supporting performance, capability development and continuous learning. Lead technical delivery activities for system upgrades, developments and replacement projects. Work closely with suppliers to ensure solutions are delivered effectively and transitioned smoothly into live service. Promote best practice in integration, testing, information governance, cyber security and service management. Identify opportunities to use emerging technologies and innovative approaches to improve service delivery and organisational efficiency. About You We're looking for someone who can combine strong technical expertise with excellent leadership and stakeholder management skills. You will have: Significant experience providing technical leadership within a complex ICT or digital environment. Experience delivering technology projects, system integrations and service improvements. Strong knowledge of application architecture, data architecture and modern digital platforms. Experience managing and developing technical teams. Excellent communication skills and the ability to translate technical concepts into clear business outcomes. Knowledge of information governance, cyber security and service management best practice. Experience working with suppliers and external partners to deliver successful outcomes. Closing Date: 19 August 2026 Interview Date: w/c 31 August & 7 September 2026 Why Join Us? We offer flexible working hours for most office-based roles, allowing for a healthy work-life balance. As part of our team, you will enjoy a range of employee benefits, including free onsite parking, employee discounts, a competitive holiday allowance, wellbeing initiatives, and the opportunity to join the Local Government Pension Scheme. You will be joining a progressive and supportive organisation that is committed to making a positive impact on the communities we serve. The Councils reserve the right to close any and all vacancies at any time if there is judged to be a sufficient number of applications received. South Norfolk and Broadland Councils are committed to promoting the welfare of children and vulnerable adults and all applicants must be willing to undergo appropriate checks for the position, including checks with past employers and the Disclosure and Barring Service.

AI Engineer Salary: Competitive (please enquire for details) Location: Central London Sponsorship status: Sponsorship is not available, so please only apply if you have the full, unencumbered right to work in the UK. A large, multi-site organisation with a significant data and technology function is looking to appoint an AI Engineer to help deliver AI-driven solutions that improve access to information, streamline processes and support better decision-making. The Role As an AI Engineer, you'll design, build and deploy AI agents using Microsoft technologies, with a particular focus on Microsoft Copilot Studio and Microsoft Fabric. Working closely with business stakeholders and technical teams, you'll translate operational challenges into practical AI solutions that are scalable, secure and aligned to governance standards. You'll be responsible for the full lifecycle of AI agents, from requirements gathering and solution design through to deployment, monitoring and continuous improvement. Key Responsibilities Design and develop AI agents using Microsoft Copilot Studio. Work with stakeholders to understand business processes and user requirements. Build conversational and workflow-driven solutions that improve access to data and insight. Integrate AI agents with enterprise data platforms, including Microsoft Fabric. Apply governance, security and operational controls across AI solutions. Support testing, release management and ongoing support activities. Monitor agent performance and drive enhancements based on user feedback and business value. Collaborate with data, platform and architecture teams to ensure solutions are robust and maintainable. About You You'll bring experience delivering AI-powered solutions within an enterprise environment and be comfortable working with both technical teams and business users. Key requirements include: Experience building AI agents, copilots or intelligent automation solutions. Strong knowledge of Microsoft Copilot Studio and related Microsoft AI technologies. Understanding of AI governance, permissions, security and operational best practice. Experience working with enterprise data platforms, ideally Microsoft Fabric. Strong stakeholder management and requirements gathering skills. Excellent communication and documentation abilities. Experience supporting solutions through testing, deployment and production support lifecycles. Degree in Computer Science, Data Science, Mathematics, Statistics or a related discipline, or equivalent commercial experience. This is an excellent opportunity to join a growing Data & AI function and play a key role in expanding the organisation's AI capabilities across multiple business areas.

Data Engineer We're looking for an Data/ Analytics Engineer to join our client's high-performing Business Intelligence team, helping to build scalable, high-quality data solutions that power reporting, dashboards and self-service analytics across the business. Working closely with BI Developers and business stakeholders, you'll design and optimise ETL/ELT pipelines, develop curated data models, and translate business requirements into reliable backend data solutions. This is a fantastic opportunity for someone who enjoys solving complex data challenges and wants to work with modern cloud technologies in a collaborative, forward-thinking environment. What you'll be doing Design, build and maintain scalable ETL/ELT pipelines that deliver reliable, high-quality data. Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics. Optimise data models, SQL queries and pipeline performance to improve efficiency and scalability. Implement data quality, monitoring and governance controls to ensure trusted, accurate data. Work with business stakeholders to understand requirements and translate them into robust technical solutions. Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices. What we're looking for Strong SQL skills with experience building and optimising data models. Experience designing and maintaining ETL/ELT pipelines. Experience working with cloud data platforms (AWS preferred). Exposure to data warehousing, data lakes and modern data architecture. Python experience (including PySpark) is beneficial but not essential. Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models support reporting and visualisation. Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders. A genuine interest in modern data engineering practices and emerging technologies. The Team You'll be joining a highly collaborative and engaging team within a business that genuinely invests in its people. Alongside working on modern data technologies, you'll have the opportunity to influence the evolution of the data platform, work closely with experienced BI professionals, and continue developing both your technical and professional skills in a supportive environment. Please note: This is a backend-focused Analytics Engineering role centred around SQL, data modelling and ETL/ELT development, no visualisation.

CyberArk Architect Our client, a leading global supplier for IT services, requires CyberArk Architect to be based at their client's office in Reading UK. This is a hybrid role - you can work remotely in the UK and attend the Reading office 3 days per week. This is a 6+ month temporary contract to start ASAP Day rate: Competitive Market rate Our client is looking for a CyberArk Architect who will play a critical role in designing, implementing, and evolving enterprise-wide Privileged Access Management (PAM) and Identity Security solutions. This role provides technical leadership for CyberArk architecture, ensuring secure management of privileged identities, credentials, secrets, and access across on-premises, cloud, and hybrid environments. The CyberArk Architect partners with security, infrastructure, cloud, and application teams to deliver scalable, resilient, and compliant identity security capabilities that mitigate cyber risk and support business objectives Key Responsibilities Design, implement, and maintain CyberArk PAM solutions, including Privileged Access Manager, Privilege Cloud, Endpoint Privilege Manager (EPM), and Secrets Management capabilities. Define and govern privileged access architecture standards, ensuring alignment with security policies, compliance requirements, and industry best practices. Lead CyberArk onboarding activities for Servers, databases, applications, cloud platforms, and privileged accounts across enterprise environments. Develop and maintain CyberArk integrations with identity providers, SIEM platforms, ITSM tools, cloud services, and enterprise applications. Provide technical leadership and architectural guidance for PAM projects, upgrades, migrations, and transformation initiatives. Collaborate with security, infrastructure, DevOps, and application teams to implement least-privilege access controls and secure credential management practices. Conduct architecture reviews, risk assessments, and security design evaluations to identify and mitigate privileged access risks. Drive automation of privileged access workflows, account onboarding, credential rotation, and compliance reporting. Monitor CyberArk platform health, performance, and service availability, ensuring optimal operational efficiency and scalability. Produce architecture documentation, technical standards, solution designs, and executive-level reports for stakeholders and leadership teams. Key Requirements Essential Skills: Bachelor's or Master's Degree in Computer Science, Cyber Security, Information Security, Information Systems, or a related discipline. Minimum 8-10 years of experience in Cyber Security, with at least 4 years focused on Privileged Access Management and CyberArk technologies. Proven experience designing and implementing CyberArk PAM solutions in large-scale enterprise environments. Strong expertise in CyberArk components, including Digital Vault, CPM, PVWA, PSM, PTA, EPM, Conjur, and Secrets Management solutions. Experience with cloud platforms such as Microsoft Azure, AWS, and Google Cloud Platform, including privileged access security controls. Desirable Skills: Strong Integration knowledge of Windows, Linux, databases, networking, and hybrid cloud architectures. Experience leading cross-functional teams and managing complex enterprise security projects. Experience implementing machine identity and secrets management solutions. Familiarity with Identity Governance and Administration (IGA) tools such as SailPoint or Saviynt. Experience supporting Zero Trust and enterprise identity transformation programs. Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.

Domain Enterprise Architect (London - Hybrid) Location: London (Hybrid 2-3 days per week) Type: Permanent Compensation: Highly Competitive + Excellent Benefits We're partnering with a highly regulated organisation undergoing significant technology, operating model, and business transformation. As part of this journey, they are seeking a Lead Enterprise Architect to provide strategic architectural leadership across critical corporate functions, with particular focus on Finance and Risk , alongside broader Corporate Services domains. This is a high-profile role offering the opportunity to influence business strategy, technology direction, investment decisions, and long-term capability planning across some of the organisation's most important business areas. The Opportunity This role sits at the intersection of Enterprise Architecture, Business Strategy, and Corporate Services . We're not looking for a Solution Architect or delivery-focused transformation lead. We're seeking a senior Enterprise Architect who can: Translate business strategy into actionable architecture roadmaps Influence senior executives and business leaders Shape investment priorities and technology direction Simplify complex application and technology landscapes Balance governance, risk, cost, and innovation Operate confidently across both business and technology functions You'll provide architectural leadership across corporate domains that support the effective operation of a large, complex, and highly regulated organisation. Key Areas of Interest Finance We're particularly interested in candidates with experience across areas such as: Finance Transformation General Ledger Treasury Financial Reporting FP&A Financial Controls Investment Management ERP and Finance Platforms Risk Experience in areas including: Enterprise Risk Operational Risk Financial Risk Regulatory Reporting Risk Modelling Governance and Compliance Wider Corporate Functions Exposure to: HR Platforms and Workforce Technologies Legal and Regulatory Functions Corporate Services Operating Models What You'll Be Doing Define and champion enterprise architecture principles, standards, and governance Develop business and technology roadmaps aligned to strategic objectives Partner with senior stakeholders to align business priorities and technology investment Drive simplification, rationalisation, and long-term capability planning Manage technical debt and target-state alignment Support major initiatives through architecture leadership and design governance Collaborate closely with Data, Security, Platform, and Business Architecture teams Ensure technology decisions deliver measurable business outcomes and long-term value What We're Looking For Essential Proven Enterprise Architecture experience within complex organisations Strong understanding of Finance and/or Risk domains Experience working within regulated environments Ability to influence senior stakeholders and executive leaders Excellent communication and stakeholder engagement skills Experience shaping technology strategy, operating models, and investment decisions Highly Desirable Financial Services, Insurance, Banking, Investment Management, or other regulated sector experience Experience supporting Finance, Treasury, Risk, Regulatory, or Actuarial functions TOGAF or equivalent architecture framework experience Why Apply? This is an opportunity to: Operate at genuine enterprise level Influence strategic direction and investment decisions Work closely with senior executives and key business stakeholders Shape the future technology landscape across critical business domains Join an organisation making significant investment in technology, architecture, data, and transformation We're particularly interested in speaking with Lead Enterprise Architects, Domain Architects, Principal Architects, and Senior Enterprise Architects who combine strong architectural leadership with genuine business domain expertise. For a confidential discussion, please apply and contact me directly on (see below)

Data Architect/4 months/Reading (Hybrid)/£550-£600pd (Inside IR35) I'm supporting a client seeking an experienced Data Architect. This will be a 4 month contract, hybrid working in Reading and has been determined inside IR35. Skills & experience looking for: Data Architecture and Enterprise Data Design Databricks Syndigo Collibra Data Governance and Metadata Management Data Integration and Modern Data Platforms Stakeholder engagement across business and technology teams Desirable: Teradata Power BI Tableau Data migration or transformation programmes Master Data Management (MDM) If this sounds relevant to your background please send across your latest CV and I will be in touch directly to discus in more detail. Best, Connor

Cloud Architect - Enterprise Cloud Migration Programme We're looking for an experienced Cloud Architect to lead the migration of a large-scale on-premise estate (RHEL, Oracle, Microsoft) to our cloud (AWS) platform. You'll own the target architecture, drive governance through the Architecture Review Board, define migration strategies, and ensure secure, resilient, and cost-effective cloud adoption across the organisation. What you'll bring: 8+ years in IT with proven experience leading enterprise cloud migrations Deep expertise in Linux (RHEL), Oracle databases, and Microsoft technologies Strong cloud architecture, security, and governance experience Ability to influence stakeholders and drive architectural best practice Experience creating reference architectures, migration patterns, and operational guardrails Bonus points for: TOGAF, FinOps, Kubernetes, and experience in regulated environments. If you're passionate about cloud transformation and enjoy solving complex enterprise challenges, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will oversee the development and use of data, AI and Automation systems, driving the adoption of centralised solutions across the group. Client Details Global FTSE100 Description This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will be responsible for overseeing the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across the group. Key Responsibilities: Remote management of an offshore team of 12 developers and a growing team of 2 in the UK Solutioning innovative ways to organise AI and automation processes, overseeing data/software development Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms. Own the roadmap for trusted data foundations across the group, covering master/reference data, data quality, governance, cataloguing, traceability, and access controls. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate, advise on new solutions that can improve the effectiveness of organisation. Take a leading role in the growth of the team and support the development of D&A and Divisional team members through coaching and mentoring Provide technical and business leadership across data architecture, integration, visualisation, and emerging AI technologies, ensuring solutions are scalable, secure, and aligned to business needs. Establish and maintain effective data management policies, standards, and operational controls, including code promotion, platform administration, performance monitoring, and compliance with company and legal requirements. Partner with divisional and business stakeholders to shape requirements, resolve data issues, and enable adoption through documentation, training, and user support. Support team effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities. Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc). Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry General understanding of PaaS Concepts - ideally in MS-Azure Profile Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc). Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry General understanding of PaaS Concepts - ideally in MS-Azure Job Offer Opportunity to join a Global FTSE100 Opportunity to deliver AI Enablement & Strategy

This global FTSE100 require a Finance Systems Analyst/Developer to work with the Group Head of Consolidation & Reporting and wider Group Finance Teams to ensure the accuracy and integrity of TM1 (IBM financial consolidation system). You will be pivotal in enhancing the maintenance and evolution of the TM1 environment and lead the creation of high-impact Power BI dashboards for analytics. Client Details Global FTSE100 Description Overview This global FTSE100 require a Finance Systems Analyst/Developer to work with the Group Head of Consolidation & Reporting and wider Group Finance Teams to ensure the accuracy and integrity of TM1 (IBM financial consolidation system). You will be pivotal in enhancing the maintenance and evolution of the TM1 environment and lead the creation of high-impact Power BI dashboards for analytics. Whilst our client is seeking a Finance Systems specialist with TM1 experience, they will also consider candidates with experience of any of the main Financial Consolidation/Planning Accounting Platforms combined with a strong knowledge of SQL for Data Extraction and Power BI dashboarding/analytics. This is a Hybrid role with a minimum of 2 days per week onsite. Key responsibilities: Systems Architecture: Support the build and maintenance of our TM1 finance consolidation system, ensuring finance logic (like forecasts, planning and actuals) is flawlessly automated. Data Engineering: Use SQL to navigate and extract data from our datasets, ensuring the wider Finance team has a "Single Source of Truth." BI & Storytelling: Design and maintain professional Power BI/TM1 dashboards that provide Real Time insights into P&L performance, cash flow, and commercial trends. Data Integrity: identifying discrepancies in the source system and ensuring our "Single source of Truth" remains accurate. Process Automation: Identity manual, repetitive tasks and use technology to automate. Working closely with Group Finance and wider teams to resolve reporting issues and correct submission mistakes. Teaching & Knowledge Sharing: Provide expertise, support and training to users on best practice use of TM1 suite of tools. Non-financial data owner: Supporting operating company submissions and reporting for several non-core financial collections. Key Skills & Experience: Essential: 1-3 years of hands-on experience with IBM TM1 or another equivalent system (navigating cubes, basic TI processes). Essential: Proficient in SQL (joining tables, filtering data, and aggregating large datasets). Essential: Strong BI Dashboarding experience (Power BI or equivalent) with a focus on financial reporting. Desirable: Part-qualified in CIMA/ACCA/ACA (or equivalent experience in a financial environment). Desirable: An "Automation Mindset" - you naturally look for ways to make processes faster and more accurate. Profile Essential: 1-3 years of hands-on experience with IBM TM1 or another equivalent system (navigating cubes, basic TI processes). Essential: Proficient in SQL (joining tables, filtering data, and aggregating large datasets). Essential: Strong BI Dashboarding experience (Power BI or equivalent) with a focus on financial reporting. Desirable: Part-qualified in CIMA/ACCA/ACA (or equivalent experience in a financial environment). Desirable: An "Automation Mindset" - you naturally look for ways to make processes faster and more accurate. Job Offer Opportunity to work for a Global Organisation Opportunity to enhance Group Level reporting systems and analytics

Application Security Engineer Location: London (fully onsite) DGH Recruitment are currently recruiting on behalf of a leading global client in the financial services industry who are looking for an Application Security Engineer to join the team on a permanent basis. They are looking for an individual that speaks the language of developers, thrives within a purple team space and has a passion for automation. The role will work alongside engineering and IT teams to enhance application security, API's and infrastructure by implementing preventative controls and identifying risks through testing. Responsibilities: - Act as a security champion to foster the secure by design approach - Support the identification and analysis of web application security vulnerabilities - Oversee daily management of application security platforms to maintain coverage, compliance and remediation of findings - Conduct threat modelling and review application architectures - Implement application security controls and proactive measures to prevent security incidents - Implement and manage SAST/SCA tooling across application repositories to identify source code risks - Scale automated DAST solutions across applications to maximise testing coverage - Carry out penetration testing on internally developed applications Required Skills/Experience: - Experienced in application security focussing on red, blue or purple team activities - Experienced in software development or experience contributing to Open-Source projects - Experienced with DAST tools such as Burp Suite, OWASP Zap or similar - Experience with SAST/SCA tools such as Snyk, Veracode, Checkmarx or similar - Proficient in one or more of the following languages - Python, JavaScript, .NET or Java - Demonstrated experience with development tools including GitLab/GitHub, Datadog, Jira, Docker, and various IDEs Desirable Skills/Experience: - Experience with cloud services, particularly AWS services like WAF, Cognito etc - Experience working with Infrastructure as Code, Kubernetes and Containers - Experience with auth mechanisms like Open ID Connect, OAuth and identity providers Application Security Engineer In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business

We are looking for an innovative algorithms engineer to join our team, developing next-generation intelligent sensing and computer vision capabilities for challenging defence applications including electro-optic gun fire control systems, ground-based air defence, counter-unmanned aerial systems (C-UAS), multi-domain surveillance, and autonomous platforms. The role involves solving complex real-world perception problems by combining machine learning, computer vision, signal processing, and statistical techniques to improve the ability of systems to detect, classify, track, and understand objects in challenging environments. The successful candidate will have the opportunity to take technical ownership of key capability areas, helping shape future development activities while mentoring others and sharing expertise across the engineering team. Key Responsibilities: Research, develop, and evaluate computer vision algorithms for image classification, fine-grained recognition, object detection, and computer vision applications Investigate challenging technical problems where the solution is not immediately known, developing structured experiments and evidence-based approaches Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate machine learning development Analyse model performance, identify failure modes, and develop innovative solutions to improve real-world capability Develop tools and processes to improve automation, repeatability, and efficiency across the machine learning lifecycle Provide technical guidance and mentoring to other engineers, supporting knowledge sharing and development of computer vision and machine learning capability within the team Keep up to date with advances in computer vision, AI, and machine learning, identifying opportunities to apply emerging technologies Communicate complex technical concepts, experimental results, and recommendations clearly to engineering teams, stakeholders, and customers Support integration, testing, and deployment of algorithms into real-time video processing systems Produce technical documentation, reports, and presentations to support engineering decisions Experience and qualifications: Degree or equivalent experience in a relevant technical discipline such as Computer Science, Artificial Intelligence, Engineering, Mathematics, or Physics Practical experience developing and deploying machine learning or computer vision algorithms in production or near-production systems. Experience with modern computer vision architectures, including object detection, image classification, and transformers. Ability to analyse image datasets using image processing techniques to inform machine learning model development and debugging. Strong problem-solving skills with the ability to break down complex, uncertain problems into achievable steps Ability to take ownership of technical challenges from investigation through to delivery Have excellent communication skills and the ability to explain complex technical concepts clearly Able to evaluate technical trade-offs and select appropriate approaches. Strong programming skills in Python, with experience in C++ for production or performance-critical systems Security Clearance Requirements: Due to the nature of our business, our staff need to be able to obtain UK Security Clearance as a mandated requirement. Therefore, if successful, you will need to provide proof of identity, employment history and right to work in the UK, along with proof of UK residency for at least five years.