6667 jobs found

Your new company You will be working for a known organisation who are looking for an Informatica Engineer who is actively SC Cleared. This role won't be able to accept anyone who doesn't hold active SC clearance. This is a 6-month rolling contract and paying £600 per day inside IR35. The role is fully remote working. Your new role Key Responsibilities Design, develop and maintain ETL processes using Informatica PowerCenter, IICS, or related Informatica technologies. Build and optimise data integration solutions across multiple source systems and data platforms. Support data migration, transformation and cleansing activities. Develop and maintain technical documentation, including data mappings and solution designs. Troubleshoot and resolve production issues, ensuring service stability and performance. Collaborate with architects, business analysts, developers and data teams to deliver project objectives. Perform code reviews and promote best practices in ETL development and data quality. Ensure solutions comply with security, governance and data management standards. Support testing activities, including system integration testing and user acceptance testing. Essential Skills & Experience Strong commercial experience with Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS). Proven experience designing and developing ETL and data integration solutions. Strong SQL skills and experience working with relational databases such as Oracle, SQL Server or PostgreSQL. Experience with data migration, data warehousing and data quality processes. Understanding of data modelling principles and metadata management. Experience working within agile delivery environments. Excellent problem-solving and stakeholder management skills. Desirable Skills Experience within Central Government, Defence, Policing, Healthcare or wider Public Sector organisations. Knowledge of cloud platforms such as Azure or AWS. Experience with CI/CD pipelines and DevOps practices. Familiarity with data governance frameworks and Master Data Management (MDM). Knowledge of Python, scripting or API integrations. What you'll need to succeed What you need to do now 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 hays.co.uk

SAP Developer London (Hybrid - 2/3 Days in Office) 55,000 - 65,000 + Benefits The Opportunity We're working with a well-known retail business that's continuing to invest in its digital and ecommerce platforms and is looking to appoint a SAP Hybris Developer to join its growing technology team. Whether your background is Frontend, Backend or Full Stack, this is a fantastic opportunity to work on a large-scale ecommerce platform, delivering new features, improving performance and helping shape the future of the digital customer experience. Working alongside Product, UX and Engineering teams, you'll play a key role in building scalable, high-quality solutions that directly impact the online customer journey. What You'll Be Doing Software Development Develop, enhance and maintain SAP Hybris (SAP Commerce Cloud) applications Deliver new features and enhancements across the ecommerce platform Troubleshoot, investigate and resolve technical issues Write clean, scalable and maintainable code Platform & Integrations Develop integrations between SAP Hybris and wider business systems Support platform upgrades, releases and continuous improvements Improve application performance, reliability and security Contribute to technical design and architecture discussions Collaboration Work closely with Product Managers and Product Owners to deliver business requirements Collaborate with UX, QA and Engineering teams throughout the development lifecycle Participate in Agile ceremonies including sprint planning, stand-ups and retrospectives Share knowledge and contribute to engineering best practice About You We're open to developers from a Frontend, Backend or Full Stack background, provided you've gained experience working with SAP Hybris (SAP Commerce Cloud). You'll ideally have experience with: SAP Hybris (SAP Commerce Cloud) Java Spring Framework REST APIs Ecommerce platforms SQL and relational databases Git and CI/CD Agile development methodologies Retail or ecommerce experience would be highly advantageous. Package 55,000- 65,000 depending on experience Hybrid working (2/3 days per week in the London office) Opportunity to work on a large-scale ecommerce platform This is a fantastic opportunity to join a business that's investing heavily in its digital capabilities, where you'll work on business-critical ecommerce solutions and have the opportunity to make a real impact across the customer experience. Apply today with your most up-to-date CV! BH36739

Overview The Senior CyberSecurity Engineer will own the hands-on technical security of a leading healthcare and dental care provider's web estate, Azure cloud infrastructure, and emerging AI services. Reporting to the Director of IT, this role sits at the intersection of infra, product, and delivery teams. The focus is keeping the organisation secure without slowing it down - hardening web ingress controls, securing identity and access, and building security guardrails for AI adoption. Day-to-day security monitoring is handled by our SOC team; this role goes deeper: owning Azure security posture, managing WAF and edge security, and embedding security into how the organisation builds and runs software. Responsibilities Web Ingress & Application Security Own and maintain WAF configuration across Cloudflare and Akamai, tuning rules and responding to emerging threats. Review and improve web ingress controls including DDoS mitigation, rate limiting, and certificate management. Apply OWASP principles across the organisation's web applications, working with development teams to identify and remediate vulnerabilities. Lead API security design and governance, ensuring consistent security controls across platform APIs. Cloud & Platform Security Own Azure security posture using Microsoft Defender for Cloud, identifying and remediating risks across the hybrid estate. Define and maintain security baselines for Azure workloads, virtual networks, and on-premise systems in transition. Work with the Platform Engineering team to ensure cloud infrastructure is built and deployed securely, including network segmentation and least-privilege controls. Identity & Access Management Own and maintain Entra ID configuration, Conditional Access policies, Access Packages, and app registrations across the organisation. Define and enforce identity governance standards, ensuring access reviews, lifecycle management, and role hygiene are maintained. Work with the wider engineering team to ensure application-level identity is implemented consistently and securely. AI & Emerging Technology Security Define security guardrails and controls for the organisation's AI and automation capabilities, covering data handling, prompt injection risks, and model access controls. Work with the AI and Automation Lead to ensure AI solutions are designed and deployed with security by design from the outset. Stay current with AI security risks and emerging attack vectors, translating threat intelligence into practical controls. Security Engineering & Standards Embed security into CI/CD pipelines and DevOps workflows, championing shift-left practices across engineering teams. Define and maintain security standards, patterns, and guidelines for use across platform and product delivery. Participate in architecture and design reviews, providing security input as part of the delivery lifecycle. Threat Intelligence & External Partnerships Act as the internal interface for Arctic Wolf, the organisation's outsourced MDR provider, triaging escalations and feeding intelligence back into the engineering environment. Use intelligence from Arctic Wolf and external sources to proactively harden controls before threats materialise. Monitor the external threat landscape relevant to the healthcare and dental sector. Skills and Experience Experience 5+ years in a hands-on cybersecurity engineering or security architecture role. Proven experience managing WAF and edge security at scale, using Cloudflare, Akamai, or equivalent platforms. Deep hands-on experience with Microsoft Defender for Cloud, Entra ID, Conditional Access policies, and Azure app registrations. Practical knowledge of API security, OWASP Top 10 remediation, and secure web application design. Experience working embedded in engineering or platform teams within an Agile/DevOps environment. Familiarity with AI and LLM security risks and emerging best practices for securing AI-powered systems. Experience working with or alongside outsourced MDR or SOC providers. Exposure to identity governance practices including access reviews, lifecycle management, and role-based access control. Experience in a healthcare, dental, or regulated industry context is a strong plus. Skills Ability to communicate security risk clearly to non-technical stakeholders without resorting to jargon. Pragmatic approach to risk: knows when to enforce, when to escalate, and when to accept, without becoming a blocker. Personal Attributes A collaborator first: builds trust with engineering, product, and platform teams rather than policing them. A role model of the organisation's people values who brings a calm, measured approach to incidents and a genuine curiosity for the threat landscape. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution - translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAMS The Portfolio Group are acting on behalf of our client in recruiting for this position.

Senior AI Developer Permanent Salary: Competitive (dependent on experience) Location: Hybrid (2-3 days per week in Reading) Hours: Monday to Friday, 37.5 hours per week (full time) About Exalto Consulting are assisting a leading managed IT services provider and technology consultancy, who deliver transformative solutions across cloud computing, cybersecurity, data management and Power Platform development. They are guided by their values of building relationships, customer success, and passion and dedication, with the goal to become the UK's most trusted technology partner. About the Role We are looking for an experienced, hands-on Senior AI Developer who wants to be at the forefront of AI-powered software development. You will work predominantly on client projects, designing and delivering production-grade applications that integrate large language models, agentic systems and Azure AI services. This is more than a delivery role. As a senior member of the team, you will help define and prove how AI solutions are delivered by establishing the standards, patterns, reusable components and engineering practices that the wider business will adopt. For the first 6-12 months, you will sit within the AI and Data Innovation team to establish a mature, repeatable approach to AI-powered delivery. Once proven, you will transition into the Delivery team to embed and scale these ways of working across mainstream client engagements. Key Responsibilities AI Solution Delivery Lead the design, development and deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning and AI Search, into production applications. Architect and build LLM-powered features, agentic workflows and Model Context Protocol (MCP) integrations to a production standard. Work directly with clients to understand requirements, shape solutions and translate them into working software. Provide technical leadership across engagements, setting a high bar for code quality, engineering rigour and AI-assisted delivery. Contribute to technical research, prototyping and proof-of-concept development that supports client proposals and new business opportunities. Shaping How We Work Define and prove a mature, repeatable delivery pattern for AI solutions that can be scaled across the Delivery team. Create reusable tools, accelerators and components that improve the speed and quality of AI delivery. Evaluate emerging AI technologies, frameworks and development approaches, bringing the strongest ideas into practice. Champion AI-assisted development practices, including vibe coding, AI testing and agentic development. Mentor and upskill other developers, building wider AI delivery capability. Help shape product and delivery strategy by identifying opportunities to package and position AI solutions. What you'll Bring Extensive full-stack development experience across one or more of React/Node.js, .NET/C#, or Python/FastAPI. A proven record of delivering production software on client-facing projects, ideally within consultancy or professional services. Hands-on experience integrating LLMs and building AI-powered features in real-world applications. Experience with prompt engineering, retrieval-augmented generation (RAG) architectures or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude and Cursor. Strong experience with Azure cloud services and CI/CD pipelines using Azure DevOps. The ability to provide technical leadership, set standards, mentor others and define effective ways of working. Excellent problem-solving, communication and stakeholder-management skills, with the ability to build client confidence and explain technical concepts to non-technical audiences. The confidence to work autonomously and turn ambiguity into repeatable, scalable delivery. It Would Be An Advantage If You Have Azure AI Engineer certification or equivalent practical experience. Knowledge of MCP, vector databases and evaluation or testing approaches for AI systems. Experience mentoring or leading small development teams. Why Apply? Industry-leading training and development through an Academy, with clear opportunities to progress. Competitive salary and company pension scheme. 23 days' holiday, increasing with length of service, plus bank holidays, your birthday off and the option to buy more leave. Two paid volunteering days each year to support your local community. Health cash plan, confidential Employee Assistance Programme and life assurance. Cycle-to-work, electric vehicle, home and technology schemes, plus retail discounts. Free on-site gyms. Long-service recognition, regular social events, Pizza Fridays and a relaxed dress code. Interested? If you are excited by AI-assisted development, LLMs and autonomous agents, and want to build production solutions with these technologies rather than simply talk about them, we would love to hear from you.

On behalf of the MOD, we are looking for a Lead Data Governance & Requirements Architect (Inside IR35) for an 8 Month hybrid contract 2/3 days per week in Bristol. An active SC Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to undergo checks. (Please note, due to the exceptional requirements of this position (short-term nature of this role and speed at which we require a postholder in situ) preference may be given to candidates who meet all of the essential criteria and hold active security clearance.) Requirement. The Land Integrated Operating Service, (LIOS), Programme requires assured, transparent, and resilient data plans and governance structures to enable effective data-driven decision-making and deliver enterprise-wide efficiencies across its portfolio of support contracts. To achieve this, LIOS will establish a coherent, standardised, and contractually enforceable framework defining how data is specified, generated, governed, and exploited within the Land Support Environment. There are two distinct work packages in scope of this requirement. Data Requirements and Governance. You will define the data inputs, outputs, and governance structures necessary to enable delivery against existing Programme System Requirements. This work shall: . Be derived from existing System Requirements Documents (SRDs) . Be solution-agnostic (not tied to specific existing Information Systems) . Leverage MOD Data Catalogues and Data Dictionaries to ensure consistency and alignment with Authority business terms . Ensure traceability between System Requirements and defined data requirements. Contractual and commercial implementation. You will then translate all defined data requirements and governance into clear, measurable, and enforceable contractual provisions that is coherent with the existing and future landscape of MOD Information Systems. This should be suitable for inclusion in Invitation to Tender (ITT) or Invitation to Negotiate (ITN) documentation. Deliverables. You will produce the following deliverables aligned to each work package: Data Requirements and Governance. The deliverables in scope of this work package are: . Data Requirements Document. A structured definition of data inputs, outputs, and relationships mapped to existing LIOS SRDs and MOD Data Catalogues. . Data Specification Pack. Detailed contractor-facing data requirements including formats, standards, metadata, quality criteria, and upload cadence. . Data Governance Framework. Roles, responsibilities, processes, controls, and assurance mechanisms to ensure that data specifications are being suitably followed by external industry contractors. . Information Exchange Requirements (IERs) and Security Management Plan (SMP). Defined data exchanges, triggers, and interfaces for data exchanges between identified systems as well as an accompanying Security Management Plan to ensure all transmissions of potentially sensitive data are Secure by Design (SbD). Contractual and commercial implementation. The deliverables in scope of this work package are: . Contractual Artefacts. Draft obligations, clauses, and schedules suitable for inclusion in a Statement of Requirement (SoR) and supporting annexes. All deliverables shall be: . Provided in Authority-approved formats and templates . Traceable to originating requirements . Suitable for direct integration into procurement documentation. Scope Boundaries and Assumptions. It is expected that you will be responsible for the definition of data requirements and governance structures, development of contractual data provisions and any necessary stakeholder engagement and validation. You are not expected to design or implement technical systems or tools, operate any live data platforms, or be responsible for the ongoing management of governance post-contract award. Mitigation shall be built into requirements, governance, and contractual provisions. Essential Skills . Data Governance & Strategy: Ability to design and implement enterprise data governance frameworks, policies and classification models. . Requirements Engineering: Expertise in translating complex business needs into scalable, interoperable data architectures and models. . Procurement & Commercial Requirements: Experience converting technical and data requirements into contractual obligations, schedules, performance measures and procurement documentation. . Stakeholder Management: Strong communication and influencing skills, with the ability to present to technical governance bodies and engage senior non-technical stakeholders. . Leadership & Strategy: Proven ability to define target-state data architectures and drive data-centric organisational change. . Regulated Environments: Experience delivering data solutions within regulated or security-sensitive environments (eg UK Public Sector, Defence, Financial Services or Healthcare). . Agile Delivery & Pace: Demonstrable ability to work at pace, rapidly develop and deliver high-quality outputs, test assumptions, incorporate feedback, and adapt solutions in response to evolving requirements and priorities. Desirable Skills . Experience supporting UK MOD or Defence procurement programmes. . Knowledge of Defence Digital, NATO and JSP information management standards. . Experience operating across multiple information systems in a technology-agnostic environment. . Knowledge of support, asset management, logistics or land equipment domains. . Experience producing procurement-ready artefacts for major government contracts. Please be aware that this role can only be worked within the UK and not Overseas. Disability Confident As a member of the Disability Confident Scheme, the MOD guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance. Armed Forces Covenant The MOD guarantees to interview veterans or spouses/partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates/military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance. In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different.

Role:Business Systems Analyst Job type: Permanent Job Location: London Job Description: Business Systems Analyst II (London Market Underwriting) Role Summary and Purpose The Business Systems Analyst II (London Market Underwriting) is responsible for partnering with Digital Product Managers (DPMs), Underwriting business stakeholders, system owners and delivery teams to capture, analyse and translate underwriting business requirements into clear functional and non-functional specifications. The role acts as a key liaison between Underwriting, Operations and Technology, ensuring that London Market underwriting processes are accurately represented and effectively implemented across core platforms including Policy Administration Systems (PAS), IRIS, Subscribe and Guidewire. The BSA will contribute to the delivery and continuous improvement of underwriting capabilities spanning risk capture, pricing, policy administration, endorsements, renewals, bordereaux, and regulatory reporting, aligned to AII London Market ways of working. Key Tasks and Responsibilities Acts as a London Market underwriting systems subject matter expert, supporting underwriting, operations and IT colleagues. Builds strong working relationships with Underwriters, Underwriting Assistants, Operations, Compliance and Product stakeholders, ensuring alignment and transparency throughout delivery. Captures, analyses and documents end-to-end underwriting processes, including placement, policy life cycle, mid-term adjustments, renewals and delegated authority flows. Leads and facilitates requirements elicitation activities such as workshops, process walkthroughs and one-to-one stakeholder interviews. Produces clear, structured functional and non-functional requirements suitable for agile delivery teams, ensuring traceability from business need through to implementation. Works closely with DPMs to support backlog creation, refinement and prioritisation, ensuring underwriting value is clearly articulated and understood. Collaborates with engineering and architecture teams to ensure requirements are technically feasible and aligned with platform standards across PAS, IRIS, Subscribe and Guidewire. Supports system configuration and integration activities involving London Market platforms and third-party vendors, including defect triage and enhancement delivery. Works with QA colleagues to support robust testing, including test scenario definition, UAT support and defect validation. Conducts system walkthroughs and demonstrations to validate solutions with underwriting stakeholders. Adheres to corporate business analysis standards, documentation practices and governance frameworks. Role Requirements & SkillsSkills/CompetenciesEssential Strong understanding of business analysis concepts, methods and practices within an IT delivery environment. Proven experience within London Market underwriting, including Lloyd's and Company market processes. Solid understanding of underwriting systems and workflows, including policy life cycle management and underwriting controls. Experience working with Policy Administration Systems (PAS) and London Market platforms such as IRIS, Subscribe and Guidewire. Experience analysing financial and underwriting data, including premiums, endorsements and bordereaux-related information. Strong understanding of agile delivery methodologies and working within cross-functional product teams. Excellent verbal and written communication skills, with the ability to translate complex concepts for varied audiences. Strong problem-solving skills and ability to work effectively under pressure. Experience implementing or enhancing London Market underwriting platforms, including PAS and market-wide services. Desirable Familiarity with Guidewire PolicyCenter within a London Market context. Experience with IRIS and Subscribe integrations and associated underwriting workflows. Experience using JIRA or similar agile tooling for backlog and delivery management. Working knowledge of SQL and ability to interrogate data to support analysis and validation. Qualifications Agile certification (eg Scrum). Application Development and Project Management experience beneficial. Experience 10+ years of experience delivering large, complex projects/programmes, including at least 5 years within the insurance industry. Strong experience and working knowledge of how the insurance industry operates. Demonstrated experience operating in agile project environments.

Hardware Engineer Hampshire / Hybrid - 2-3 days onsite Up to 80,000 per annum Active SC or DV Clearance Required We're looking for an experienced Hardware Engineer to join a growing engineering team delivering secure, mission-critical infrastructure for major Defence programmes. Working across the full project lifecycle, you'll design, build, deploy and support hardware and infrastructure solutions, collaborating with software engineers, architects and systems specialists to deliver resilient, high-performance platforms in secure environments. Key Responsibilities Design, deploy and support hardware and infrastructure solutions. Build and maintain physical servers, storage and networking equipment. Manage virtualised environments (VMware ESXi, Hyper-V or similar). Administer Windows Server and Linux environments. Configure LAN, WAN, VLANs and firewall technologies. Support hardware deployments, testing and live operational activities. Manage hardware lifecycle activities, upgrades and asset management. Produce technical documentation and work closely with customers and project teams. Skills & Experience You'll have experience with several of the following: Hardware and infrastructure engineering in Defence, Government or secure environments. Enterprise server, storage and networking technologies. VMware ESXi, Hyper-V or other virtualisation platforms. Windows Server, Linux, Active Directory, DNS and DHCP. Networking, firewalls and infrastructure troubleshooting. Hardware deployment, lifecycle management and vendor engagement. Strong communication skills and the ability to work within Agile delivery teams. If this role is of interest apply now or email your CV to me at (url removed)

Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure-by-design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof-of-concepts into production-ready, well-architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production-grade systems on AWS Strong hands-on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure-as-code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud-native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long-term architectural impact, within an organisation investing heavily in AI at scale. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.

Job title: Privileged Access Management (PAM) Architect Duration: 9 months Clearance required: DV or DV Eligible Rate: To be discussed Location: Hybrid, onsite in Corsham twice a week Specification: Below Overview: We are seeking an experienced Privileged Access Management (PAM) Architect and Subject Matter Expert (SME) to lead the design, implementation, and optimisation of enterprise PAM solutions, with a strong focus on CyberArk. This role requires deep technical expertise, strategic oversight, and hands-on delivery capability within secure, high-assurance environments. The successful candidate will play a key role in securing critical systems and sensitive data, supporting a UK secure account, and engaging directly with stakeholders across customer sites. Key Responsibilities: Lead the architecture, design, and implementation of CyberArk-based PAM solutions across on-premise complex enterprise environments Act as the technical SME for PAM, providing expert guidance on best practices, standards, and emerging capabilities Deliver end-to-end CyberArk deployments, including Privileged Access Security (PAS), Privilege Cloud, and associated components Define and implement privileged access policies, credential management, session monitoring, and vaulting strategies Work closely with security, infrastructure, and application teams to integrate PAM controls into existing environments Conduct security assessments and gap analyses, providing remediation recommendations aligned to industry standards (eg, NIST, ISO 27001) Support audit and compliance requirements, ensuring adherence to security policies and regulatory obligations Provide technical leadership and mentoring to internal teams and stakeholders Engage directly with internal and external stakeholder with visiting customers on-site, building trusted relationships and ensuring successful delivery outcomes Contribute to continuous improvement initiatives and innovation within the PAM domain Required Skills & Experience: Proven experience in a PAM Architect or Senior SME role Strong hands-on expertise with CyberArk (PAS, CPM, PSM, PVWA, PTA, desirable) Experience designing and delivering enterprise-scale PAM solutions Demonstrable experience producing high-quality design documentation, including: High-Level Designs (HLDs) Low-Level Designs (LLDs) Security architecture documents Implementation and operational runbooks Deep understanding of identity and access management (IAM) principles and security best practices Strong knowledge of privileged credential life cycle management, session isolation/recording, and least privilege models Experience integrating CyberArk with: Active Directory/LDAP SIEM tools ITSM tools Familiarity with DevSecOps and secrets management is advantageous Excellent stakeholder management and communication skills Industry Experience: Prior experience working in the Defence and/or Aerospace sector is highly desirable Understanding of high-assurance, regulated environments and secure system delivery Desirable Certifications CyberArk Certified Delivery Engineer (CDE)/Defender (CDP)/Sentry CISSP, CISM, or equivalent security certifications TOGAF or other architecture frameworks (desirable) If you are available and interested in this opportunity, please apply for further information. Please note that due to high volumes of applications we are unable to contact every applicant. 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. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values 'Honesty, Integrity and Pragmatism'. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.

We are supporting a leading global technology services organisation on a high-profile UK Government programme and are looking for an experienced DV Cleared Security Architect to join a specialist team delivering security architecture and assurance within highly secure, mission-critical environments. This is an exciting opportunity for a security professional with expertise in platform security, endpoint protection, vulnerability management and secure infrastructure design to work on a complex programme supporting defence-critical systems. The Role As the Security Architect, you will lead the design, implementation and assurance of security controls across Back End platforms and endpoint environments operating within secure, offline (air-gapped) networks. Working closely with infrastructure, platform and security teams, you will ensure solutions meet UK Government and MOD security standards while supporting security accreditation and operational assurance activities. Key Responsibilities Lead the architecture and design of enterprise security solutions. Design platform security controls aligned to NIST Cybersecurity Framework and MOD security policies. Deliver enterprise Anti-Virus, Endpoint Protection and Endpoint Detection & Response (EDR) capabilities. Design vulnerability management frameworks, scanning strategies and remediation processes. Develop secure patching, update and threat intelligence processes for air-gapped environments. Produce High Level Designs (HLDs), Low Level Designs (LLDs), security architecture documentation and operational procedures. Support security assurance, compliance assessments and accreditation activities. Work closely with infrastructure and engineering teams to ensure secure-by-design delivery. Define penetration testing scope for Back End platforms and endpoint environments. Engage with technical and business stakeholders across secure customer sites. Essential Skills & Experience Proven experience as a Security Architect or senior Security SME. Strong background designing enterprise security architectures within secure or regulated environments. Experience with: Endpoint Protection Endpoint Detection & Response (EDR) Anti-Virus platforms Vulnerability Management Endpoint Hardening Platform Security Controls Experience working within air-gapped or highly secure environments . Strong understanding of vulnerability assessment, remediation and risk management. Experience producing technical design documentation including HLDs, LLDs and security architecture documents. Excellent stakeholder management and communication skills. Security & Compliance Knowledge Experience working with one or more of the following is highly desirable: NIST Cybersecurity Framework NCSC Cyber Security Design Principles Secure by Design JSP 440 JSP 604 JSP 453 Security Accreditation & Assurance Risk Management & Compliance

Role: Data Architect Location: Victoria & Canary Wharf, London (Hybrid) Status: Outside IR35 Rate: Neg Duration: Initial 3 months Clearance: Active Security Clearance is mandatory. Candidates with clearance that has lapsed or not been active within the last 12 months are not eligible. Our client is supporting a major government transformation programme seeking an experienced Data Architect to lead the discovery and documentation of a complex Legacy data estate ahead of a large-scale digital transformation. This is an opportunity to play a key role in modernising a critical public service by analysing the current data landscape, identifying migration challenges, and producing the architecture artefacts that will underpin the procurement of a future replacement platform. The Role Working closely with business stakeholders, architects, systems integrators and third-party suppliers, you'll be responsible for developing a comprehensive understanding of the existing data environment. You'll assess data quality, document data structures and dependencies, and produce the outputs required to support procurement, solution design and future migration planning. This engagement will involve extensive stakeholder collaboration, workshop facilitation and technical analysis across multiple Legacy applications and data sources. Key Responsibilities Lead discovery and analysis of the current-state data architecture. Develop conceptual, logical and physical data models. Document data lineage, metadata, source systems and integration patterns. Assess data quality and identify remediation opportunities. Identify system dependencies, interfaces and migration constraints. Support the establishment of data ownership, stewardship and governance models. Produce high-quality architecture documentation to support procurement activities, supplier engagement and future solution design. Work closely with technical teams, suppliers and business stakeholders to validate findings and capture architectural decisions. Support the creation of supplier information packs, data rooms and technical procurement documentation. Essential Experience Extensive experience as a Data Architect within large, complex enterprise environments. Strong understanding of enterprise, application and integration architecture. Proven experience documenting Legacy data estates and complex system landscapes. Experience developing conceptual, logical and physical data models. Strong knowledge of data governance, metadata management and data lineage. Experience with data quality assessment, profiling and remediation planning. Understanding of migration architecture and enterprise data transformation. Knowledge of GDPR, information management and data protection principles. Experience identifying authoritative data sources and defining data ownership. Strong stakeholder management and workshop facilitation skills. Experience producing architecture artefacts for procurement or large transformation programmes. Experience using AI-enabled discovery, metadata analysis or reverse engineering tools would be advantageous.

Enterprise Platform Architect/12 months/Stratford (Hybrid)/£550 - £580pd (Inside IR35) We are looking for an experienced Enterprise Platform Architect to join a consultancy client of ours servicing a public sector regulatory body. This will be a hybrid contract requiring 3 days per week on-site at their Stratford office. Key Responsibilities Create enterprise platform blueprints, target architectures and roadmaps. Define strategy across application, data and integration domains. Act as a strategic SME and governance advisor. Support delivery teams and solution architects in aligning with enterprise direction. Develop architectural principles, standards, policies and patterns. Technical Focus Areas Data and analytics platforms including Cloudera and Tableau. Digital Workplace technologies including Microsoft 365, Azure and E5. Observability and monitoring platforms such as Datadog. Enterprise integration, APIs, API Gateways and Apigee. Enterprise application ecosystems and platform strategy. Experience Required Enterprise, Platform or Domain Architecture experience within large organisations. Strong background in enterprise application, data and integration strategy. Experience developing architecture blueprints and transformation roadmaps. Strong governance, stakeholder management and executive engagement skills. Ability to operate at both a strategic and technical level. If of interest, please apply to this advert with your latest CV and I will be in touch to discuss in more detail. Best, Connor

We are working with a client who is a global leader in consulting, technology services, and digital transformation, committed to delivering positive change through technology and human collaboration. They have a Cybersecurity Sciences & Analytics (CSA) team that is currently a $50m and 150 headcount function, bringing together expertise across cybersecurity, data science, AI, software and cloud engineering, governance, and programme management. This Technical Solution Architect role is a hands-on architecture and solution design specialist within the CSA Strategy and Governance team. They shape and assure end-to-end technical designs that enable CSA's cyber analytics and engineering outcomes. They define and maintain key architecture artefacts (HLDs/LLDs, reference architectures, patterns, and ADRs). They also drive technology evaluation and standardisation across an open-source, petabyte-scale data platform. They own solution designs for custom cybersecurity applications, from requirements through to production support. Partnering with engineering, platform, and central architecture/governance teams, they run design and governance forums and influence without authority. They'll bring genuine cybersecurity expertise-threat modelling, security controls, identity and access, encryption, logging, and secure SDLC-so CSA's platforms and products can be trusted in production and stand up to regulatory scrutiny. They balance target architecture with delivery realities, collaborate across geographies, and contribute hands-on when needed, including coding. The ideal candidate will possess a strong technical background, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation.In this role you will be defining and maintaining architecture artefacts, including HLDs/LLDs, reference architectures, patterns, ADRs (Architecture Decision Records), and reusable templates. Contributing to the design and evolution of a petabyte-scale data platform built on open-source technologies. Evaluate technologies and drive standardisation: assess OSS components and vendors, run PoCs, document trade-offs, and promote reusable patterns to reduce fragmentation. Own the end-to-end solution design for custom-built applications that support our client's cybersecurity ambitions. Provide architecture and design input to software engineering and platform teams to support implementation and delivery. Partner with central architecture and governance teams to ensure solutions align with the client's controls, policies, standards, and guardrails. Help ensure solutions remain compliant, operationally supportable, and within agreed cost boundaries.In order to apply for this role, you must have demonstrable experience designing, deploying, and operating big data platforms at scale. You will have hands-on experience with OSS data ecosystems (e.g., Spark, Trino, Airflow, Apache Superset, and similar technologies). You will have knowledge of cloud platforms and traditional on-premise hosting; hands-on experience with Azure, AWS and/or GCP is beneficial. You will also have proven security architecture expertise, including: Threat modelling and secure-by-design practices. IAM (RBAC/ABAC), privileged access concepts, and service-to-service authentication. Encryption in transit/at rest, key management, secrets management. Secure logging/telemetry, auditability, and evidence-driven control assurance. Secure SDLC, vulnerability management, and dependency/supply-chain risk controls. Proven experience delivering end-to-end solution designs, from requirements through to production operations and support.Please be clear that only candidates that meet the above criteria with the right to work and that are resident in the UK will be considered. No sponsorship is available. This role will involve hybrid working here in the UK at a site based in Sheffield in South Yorkshire - expected on site 3 days per week and 2 from home. More flexibility may be offered once in situ in the contract. 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 hays.co.uk