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Electronic/Firmware Engineer Leeds - 5 days on-site £40,000 - £50,000 + 10% Pension Contribution + Holiday Are you an Electronics and Firmware Engineer looking for a varied role where you can work across the full product lifecycle, develop cutting-edge hardware and embedded systems, gain exposure to high-voltage applications, and have opportunities for international travel and specialist technical development? This is an excellent opportunity for an engineer with a background in electronics design and embedded firmware development to join a specialist engineering business working on bespoke technical solutions. The position offers a broad range of responsibilities, from concept and design through to testing, commissioning, and ongoing product support. In this role, you will be involved in electrical and electronic design, including circuit design, component selection, schematic capture, and PCB layout. You will also develop embedded firmware for microcontroller-based systems and support assembly, testing, fault finding, and commissioning activities. The ideal candidate will have experience in both analogue and digital electronics, embedded C programming, and the use of electronic test equipment. You will be a self-motivated individual who enjoys working independently while contributing effectively within a small engineering team. In return, you will join a growing engineering environment where you can continue developing your technical expertise, gain experience in specialist high-voltage applications, and work on innovative engineering projects with customers worldwide. The Role: Electronic hardware design including schematics, PCB layout, and component selection Embedded firmware development for microcontroller-based systems Creation of wiring diagrams, BoMs, and technical documentation Testing, fault finding, repair, and product support Support for onsite commissioning and customer installations International travel to customer and company sites with potential offshore work The Person: Experience in analogue and digital circuit design Embedded C programming experience with low-level hardware knowledge Familiar with oscilloscopes, signal generators, loads, and other test equipment Hands-on prototyping skills including soldering and wiring Strong communication skills with the ability to work independently and within a team Degree-qualified with industry experience, or significant equivalent practical experience Reference Number: BBBH278751 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.

Contexte d'utilisation chez Limagrain Compétences attendues Niveau RAG end-to-end Retrievers & embeddings Assistants scientifiques, juridiques et métiers sur corpus internes. Optimiser la récupération de sources fiables. Ingestion, parsing, OCR, structure, chunking, embeddings, indexation, retrieval, reranking, génération et citations. Indispensa ble Dense/sparse/hybride, metadata filters, multi query, parent-child, contextual retrieval, vector stores et évaluation du retrieval. Indispensa ble Analyse documentaire Exploiter PDF, Word, PowerPoint, Layout-aware parsing, OCR, extraction Indispensa Référentiel de compétences - Tech Lead GenAI Limagrain - Septembre 2026 Référentiel de compétences - Tech Lead GenAI Limagrain - Septembre 2026 Technologies / savoir-faire Contexte d'utilisation chez Limagrain Compétences attendues Niveau tableaux, scans et dossiers complexes. tables/images, métadonnées, déduplication, classification et validation. ble VLM & VQA Analyser images, figures, schémas, parcelles, maladies, rapports et documents multimodaux. Vision-language models, visual question answering, grounding, OCR multimodal, évaluation et limites. Avancé Gestion du contexte Maîtriser qualité, coût et mémoire des agents. Context engineering, fenêtres, compression, résumé, mémoire court/long terme, cache, provenance et isolation. Indispensa ble Single-agent Automatiser une tâche métier avec outils et garde-fous. ReAct/tool calling, structured outputs, validation, retries, human-in-the-loop et permissions. Indispensa ble Multi-agent Décomposer les workflows complexes entre agents spécialisés. Supervisor, router, planner-executor, handoffs, shared state, parallélisme, consensus et contrôle des boucles. Avancé LangChain / LlamaIndex Assembler modèles, retrievers, tools et chaînes RAG. Intégrations, loaders, chains, agents, structured output et composants remplaçables. Avancé LangGraph Orchestration stateful et durable de workflows agentiques. Graphes, état, checkpoints, streaming, interruptions, human-in-the-loop et reprise. Avancé LangSmith Tracing, debugging, datasets, évaluations et monitoring.

Contexte de la Mission Aux côtés d'une équipe d'experts passionnés, vous relèverez les plus hauts défis techniques de la société. En tant qu'Expert Data & Retrieval, vous êtes le garant de la matière première de notre IA : la collecte, l'ingestion, l'indexation et la recherche de pertinence sur des volumes massifs de documents spécialisés, le socle qui alimente nos modèles de langage et nos produits. Votre terrain de jeu : transformer la manière dont tout un secteur professionnel travaille au quotidien. Votre mission n'est pas d'écrire un simple script, mais de concevoir des pipelines de données robustes capables d'ingérer, de nettoyer et d'indexer d'énormes corpus textuels, puis d'exposer une recherche rapide et pertinente (sémantique et hybride) au service de plusieurs équipes à travers l'Europe. Vous garantirez la fraîcheur des index et la qualité du retrieval tout en gérant une complexité technique de haut vol (volumétrie, hétérogénéité des sources, évaluation de la pertinence, scalabilité). Objectifs et Missions Principales Vos missions principales s'articulent autour de trois axes : bâtir, outiller et transmettre. 1. Collecte, Ingestion & Indexation • Pipelines d'ingestion : Concevoir la collecte et le traitement de sources hétérogènes (open data, bases spécialisées, documents métier), le parsing, le nettoyage, le chunking et la normalisation des documents. • Indexation & Embeddings : Choisir et industrialiser les modèles d'embeddings, alimenter et maintenir les bases vectorielles, gérer la fraîcheur et la reconstruction des index. • Qualité & Volumétrie : Garantir la scalabilité de l'indexation sur des corpus massifs et la traçabilité des données (lignage, versioning des index). 2. Recherche & Pertinence (Retrieval) • Stratégie de retrieval : Combiner recherche lexicale et sémantique (BM25 + embeddings) avec reranking et filtrage par métadonnées pour maximiser la pertinence. • Évaluation continue : Mettre en place des jeux de tests et des métriques de pertinence (recall, precision, nDCG, MRR) pour mesurer et améliorer le retrieval. • RAG : Structurer la phase de récupération qui alimente les LLM (contexte, citations, dé-duplication, gestion des fenêtres de contexte). • Observabilité & Sécurité : Instrumenter les pipelines (logs, métriques, traces de qualité) et garantir la sécurité et la conformité des données (isolation par pays, conformité aux réglementations). 3. Leadership Technique & Gouvernance • Culture Craftsmanship : Promouvoir les pratiques de Clean Code, SOLID, et tests automatisés.

Dans le cadre d'un projet stratégique autour de la recommandation et de l'IA, nous recherchons un Machine Learning Engineer expérimenté pour concevoir, développer et industrialiser des pipelines Data et ML de bout en bout. Vous intégrerez une équipe pluridisciplinaire composée de Data Scientists, Data Engineers, développeurs, Tech Lead et Product Owner, au sein d'un environnement fortement orienté Data, ML et Cloud. Vos missionsConcevoir et développer des data pipelines de bout en bout : ingestion, transformation, stockage et exposition des données. Concevoir et industrialiser des pipelines ML : préparation des données, entraînement, évaluation, publication et inférence. Participer à la conception et à l'évolution d'architectures Data / ML sur GCP. Mettre en place les mécanismes de qualité, reproductibilité, monitoring et observabilité des pipelines. Industrialiser les modèles ML pour des usages en production, notamment en inférence temps réel. Participer à l'évolution du socle DataOps / MLOps et des outils d'orchestration. Optimiser les solutions existantes en matière de performance, fiabilité, maintenabilité et coûts Cloud. Participer au Run et à la résolution des incidents sur les pipelines et services existants. Garantir la qualité des développements : tests, revue de code, documentation et bonnes pratiques d'ingénierie. Collaborer avec les équipes Data, ML et Software Engineering afin de partager les bonnes pratiques. Environnement techniqueData Engineering : BigQuery, dbt, Kafka, streaming, data modeling, Terraform. ML / MLOps : Python, Deep Learning, embeddings, Docker, Kubernetes, Git, ZenML ou outils similaires, ML pipelines, inférence temps réel. Cloud : GCP, architectures Cloud distribuées.

Job title: Security Architect Location: Hybrid - London or Manchester Contract Length: 12 months Sector: Public Sector The Role We are looking for an experienced Security Architect to support a major transformation programme involving a large-scale legacy application. The Security Architect will be responsible for designing and defining security architecture for the programme, maintaining security documentation, and developing reusable security architecture patterns. You will work closely with architecture, engineering and security teams to ensure appropriate security controls are embedded into designs at an early stage of the development lifecycle. Key Responsibilities * Create and design security architecture for the programme. * Develop and maintain security architecture documentation. * Define and develop reusable security architecture patterns. * Review high-level architecture designs to ensure appropriate security controls are embedded early in the development lifecycle. * Work with Security teams to define enterprise security patterns. * Ensure high-level solution architecture designs align with relevant security standards and architectural principles. * Identify security and architectural gaps through risk assessment. * Document residual security risks and provide clear remediation paths. * Work collaboratively with architects, engineers and wider programme stakeholders throughout the design and build phases. * Provide security architecture input across simultaneous high-level and low-level design activities. Programme Background The programme is focused on the transformation of a significant legacy application containing an extensive COBOL codebase. Business processes within the existing COBOL codebase are inadequately documented, creating challenges in supporting the system, debugging issues, training support teams and accommodating new requirements. Following an initial feasibility exercise, a refactoring approach was proposed. The programme subsequently moved into a design and analysis phase to analyse the existing COBOL code, create a high-level design and scope the first wave of the delivery plan. The programme is now in the build phase, with the first wave of build activity completed, while high- and low-level design continues across the remaining features. Key Experience The successful Security Architect should be able to demonstrate experience in: * Security architecture within complex enterprise environments. * Reviewing high-level solution and architecture designs. * Embedding security controls throughout the development lifecycle. * Developing security architecture patterns and standards. * Security risk assessment and identification of architectural gaps. * Documenting residual risks and defining remediation approaches. * Producing and maintaining security architecture documentation. * Working effectively with security, architecture and engineering stakeholders. * Supporting complex transformation, modernisation or legacy-system programmes. Experience working with legacy applications, COBOL environments or large-scale application refactoring programmes would be advantageous. 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. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive 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.