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At CGI, we deliver secure, mission-critical systems that help safeguard the UK and enable transformation across some of the nation's most vital sectors. As a Data Architect, you will play a pivotal role in shaping data-driven solutions that are scalable, secure, and future-ready. Working with clients across highly complex projects, you'll apply your expertise to design and deliver architectures that drive innovation and resilience. This role gives you the chance to make a meaningful impact while working in a culture that values collaboration, ownership, and creativity. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Please note, due to the secure nature of the programme, this role is open only to UK Nationals (not dual nationals or visa holders) who hold or are eligible for High-Level Clearance (HLC). While there is some flexibility for hybrid working, onsite attendance will be required in Gloucester or London for secure system access.

Description de la mission Les intégrateurs chiffrent une implémentation sur la base de son périmètre technique : interfaces à construire, spécifiques legacy à conserver/reconstruire, rapports sur mesure et standards de release. En tant qu'Oracle Technology Lead, vous dirigerez le chantier technique de la Phase 0 pour la plateforme Oracle Fusion Cloud. Vous traduirets l'architecture conceptuelle en spécifications techniques opérationnelles pour l'appel d'offres (périmètre applicatif, exigences non-fonctionnelles, patterns d'intégration, politique d'extensions) et structurerez la gouvernance technique avant l'arrivée de l'intégrateur. Responsabilités & Livrables clés Fichier de périmètre technique : applications, modules, interfaces, extensions, rapports et conversions de données. Inventaire complet des interfaces & Schéma d'intégration cible (APIs, événements, FBDI/HDL, middleware). Registre d'arbitrage de la disposition du spécifique (Legacy Disposition Register) pour Oracle EBS et Dynamics NAV. Politique d'extension (principes "Clean Core", règles Visual Builder / Redwood) et standards techniques. Stratégie de gestion des environnements, des releases, des mises à jour trimestrielles Oracle et des tests automatisés. Rédaction des annexes techniques du Tender Pack, gestion de la foire aux questions des bidders et grille de notation technique. Définition des termes de référence de l'Autorité de Design Technique (Technical Design Authority). Profil recherché & Critères indispensables (Pondération : 3x) Expérience : 10+ ans d'expérience en technologie ERP. Lead Oracle Fusion : Au moins 2 implémentations Oracle Fusion Cloud Applications (ERP/HCM), dont au moins une en tant que Technical Lead de A à Z. Expérience Appel d'Offres : Expérience éprouvée en tant que Lead technique côté client sur un appel d'offres d'intégration ERP (cahier des charges, réponses aux bidders, notation). Intégration Oracle : Maîtrise opérationnelle des technologies d'intégration Oracle Fusion : services REST/SOAP, Business Events, FBDI, HDL et Oracle Integration Cloud (OIC). Extensibilité & Reporting Oracle : Expertise sur Visual Builder Studio, Redwood UI, gouvernance "Clean Core", OTBI, BI Publisher et BICC. Connaissance ERP Legacy : Connaissance technique du patrimoine applicatif d'Oracle E-Business Suite ou de Microsoft Dynamics NAV. Langues : Anglais professionnel courant. Critères souhaitables Double compétence technique sur Oracle EBS ET Microsoft Dynamics NAV. Certifications officielles d'implémentation Oracle Fusion Cloud. Expérience de tests automatisés pour les mises à jour trimestrielles Oracle Cloud. Expérience d'interfaçage avec Salesforce, SAP SuccessFactors, SAP Concur, Kyriba ou BlackLine.

Project Manager with Digital Banking Operations and Artificial Intelligence AI We are seeking a Project Manager with Digital Banking Operations and Artificial Intelligence (AI) Projects experience to join our Client a bank based in Central London. This is a full-time role located in London, with flexibility for some remote work. As an AI project manager, you be responsible for overseeing and managing the implementation of AI projects within our digital banking operations. You will collaborate with cross-functional teams to define project goals, develop project plans, allocate resources, track progress, and ensure timely and successful delivery of projects. Experience and Qualifications Previous experience in project management, preferably within the banking or financial services industry Strong understanding of digital banking operations and Artificial Intelligence AI technologies Proven track record of successfully delivering complex projects on time and within budget Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams Strong problem-solving and decision-making abilities Knowledge of agile project management methodologies Experience with data analysis and reporting Ability to adapt to changing priorities and work well under pressure Project management certification (e.g., PMP) is a plus Bachelor's degree in a relevant field Areas to Consider 1. Customer Service Enhancement Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a wider range of data points. Document Verification: Automate the verification of documents submitted for loan applications, speeding up the approval process. 4. Personalized Banking Services Customer Insights: Leverage AI to gain insights into customer behaviour and preferences, allowing for personalized product recommendations. Marketing Campaigns: Use AI to target customers with tailored marketing campaigns based on their transaction history and preferences. 5. Risk Management Risk Assessment: AI can analyze market trends and economic indicators to provide early warnings about potential risks. Compliance Monitoring: Automate compliance checks and monitoring to ensure adherence to regulations and reduce the risk of non-compliance penalties. 6. Operational Efficiency Process Automation: Use robotic process automation (RPA) to handle repetitive tasks such as data entry, account reconciliation, and report generation. Workflow Optimization: AI can optimize workflows by identifying bottlenecks and suggesting improvements. Implementation Strategy Assessment: Evaluate the current state of digital banking operations and identify areas where AI can add value. Pilot Projects: Start with pilot projects to test AI applications in a controlled environment. Scalability: Ensure that AI solutions are scalable and can handle increasing volumes of data and transactions. Employee Training: Train staff on AI tools and their applications to ensure seamless integration. Continuous Improvement: Regularly update AI models and algorithms based on new data and evolving business needs. Challenges and Considerations Data Quality: Ensure high-quality data for accurate AI predictions and analysis. Regulatory Compliance: Stay compliant with financial regulations while implementing AI solutions. Customer Trust: Maintain transparency in AI-driven decisions to build and maintain customer trust. Integration: Seamlessly integrate AI with existing banking systems and processes. The main emphasis of this position to is harness the data from a variety of data tables at the bank and collate a Data Lake from which to extract a variety of AI reports to increase the banks customer strategy. By strategically implementing AI in these areas, a Digital Banking Operations Manager can greatly improve the efficiency, security, and customer satisfaction in digital banking operations. The position will be hybrid 3 days a week in the office. The salary is negotiable depending on experience but probably in the range £80K - £120K plus benefits. Do send your CV to us in Word format along with your salary and notice period.

Lead AI Engineer - AI Adoption & Governance - Remote Working Must have an Active SC Clearance This is a technical influence role rather than a conventional people-management position, requiring strong stakeholder engagement across portfolios, suppliers and technology providers. Lead AI Engineer - AI Adoption & Governance Responsibilities Lead horizon scanning across the AI tooling landscape and translate emerging capabilities into practical opportunities. Build and run agentic AI workflows and evaluate models, tools and engineering approaches. Establish AI engineering standards, guardrails and reusable adoption patterns across the SDLC. Embed with delivery teams to prove AI approaches within real production codebases. Run structured proofs of value with clear hypotheses, baselines, success criteria and benefit measurement. Build practitioner communities through coaching, targeted training, knowledge sharing and champions networks. Engage suppliers and technology providers to identify reusable approaches and reduce fragmented adoption. Resolve recurring adoption blockers across governance, tooling, data, security and commercial routes. Advise where AI adoption should be constrained, paused or stopped due to security, quality or maintainability risks. Lead AI Engineer - AI Adoption & Governance Skills and Experience Strong hands-on agentic AI engineering experience, including agent workflows, model selection, prompt engineering and harness engineering. Experience with agent-tool integration, reusable skills and instructions, and MCP server development. Experience with AI coding and agent tooling such as Claude Code, GitHub Copilot, Codex or Kiro. Strong knowledge of applying AI across the SDLC, including test generation, code review, documentation, legacy comprehension and modernisation. Experience defining AI standards, guardrails or engineering practices adopted across multiple teams. Proven ability to influence across organisational boundaries without formal authority. Experience engaging suppliers and technology providers. Experience delivering coaching, targeted training or practitioner communities. Software engineering experience within large-scale production environments would be advantageous. AWS Bedrock, Azure OpenAI, AI/MCP Gateways, model routing, authentication and cost optimisation experience would be beneficial. Knowledge of AI evaluation techniques including eval harnesses, regression testing and LLM-as-judge would be advantageous. Awareness of Secure by Design, DPIA and DPA requirements would be beneficial. To apply, please send your CV by pressing the apply button. Due to high volume of applications, only shortlisted CVs will be contacted. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Data Migration Analyst Our Client is looking to recruit a seasoned Data Migration Analyst with excellent Data Analyst skills - at least 3 to 5 years experience as a Data Analyst. Provide support to the data migration Lead in the data migration of legacy data into NetSuite edERP in accordance with the project plan Review the legacy data to identify data quality issues Review non-legacy data for data quality & resolve issues Liaison with the schools throughout the data preparation stages Perform data extractions from the legacy system into Excel Review the legacy data to identify data quality issues such as; o missing mandatory fields o data not coherent & correctly cross-referenced o data not valid i.e. formatted correctly, consistent with NetSuite requirements o potential functional shortfalls of NetSuite Co-ordinate with Users to resolve issues identified with the quality of the data. Co-ordinate with Users in the preparation of other data that are not in the legacy system that is required for NetSuite, such as; o email addresses o third party payers o fees, discounts & academic calendar o pricing master header & lines o NetSuite contracts Review non-legacy data for data quality & resolve issues with users, where necessary obtaining acceptance from the project team and/or the Business. To comply with safeguarding policies, procedures and code of conduct and demonstrate a personal commitment to safeguarding and student/colleague wellbeing. Ensure that any safeguarding concerns or incidents are reported appropriately in line with policy and engage in safeguarding training when required. Must have at least 3 to 5 years experience of data analysing and/or cleansing and at least 3+ years experience of systems implementation. Have experience of extraction & cleansing of legacy data. Being involved in at least 2 major Data migration projects. Should have strong Excel user skills along with data migration ETL methodology. Must have excellent interpersonal skills. English as primary language. " T-SQL " Excel VBA " Accounting ETL Methodology The Client is based in Milton Keynes various offices across the UK. The role will based remotely at present with the need to attend the office as and when required. The rate for this role will be circa £300 to £400 per day. The duration for this contract assignment will be 6 months. Please send your CV to us in Word format along with your daily rate and availability.

Power Electronics Researcher - AI & Machine Learning £45,000-£62,000 + Healthcare + Progression + Sponsorship + 33 Days Holiday + Life Insurance + Excellent Company Benefits Are you a Power Electronics Researcher looking to apply your research into AI and machine learning to the design and optimisation of next-generation power electronic systems? This is an exciting opportunity to join an innovative engineering environment working at the intersection of power electronics, artificial intelligence and advanced system design. You will contribute to research and development projects focused on improving the design, simulation and optimisation of power electronic converter technologies, with applications across sectors including electric vehicles, rail and renewable energy. The role would suit a final-year PhD student, recent PhD graduate, Postdoctoral Researcher or Research Fellow with relevant experience in power electronics with experience using AI in their work. You will work closely with experienced engineers and researchers, helping to translate academic research into practical engineering applications. The ideal candidate will have a strong research background in power electronics, alongside experience using AI, machine learning or data-driven techniques within their research. This could include developing their own models, algorithms or tools to support power electronics design, rather than simply using AI tools such as ChatGPT as part of their research. The Role: Research and develop AI/ML approaches for power electronics applications Design, model and simulate power electronic converter systems Investigate the use of AI and machine learning to optimise converter design and performance Develop models, algorithms or tools to support the power electronics design process Research emerging technologies and contribute to technical reports and research outputs Support the transition of research concepts into practical engineering applications The Person: Degree or PhD in Power Electronics, Electrical Engineering or a related field Strong research background in power electronics and converter technologies Experience with AC/DC, DC/DC or DC/AC converter systems Research experience involving AI, machine learning, data-driven modelling or optimisation Experience with simulation tools such as MATLAB, PLECS or Ansys Final-year PhD candidates, recent PhD graduates, Postdoctoral Researchers and Research Fellows are encouraged to apply Reference Number:BBBH280446 Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.