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Dans le cadre du renforcement d'une équipe R&D Cyber, nous recherchons un Expert IA / LLM Engineer pour intervenir sur le développement et l'optimisation de modèles de langage spécialisés en cybersécurité. 🎯 Vos missionsFine-tuner des modèles open source (Llama, Mistral, Qwen…) Concevoir et optimiser des modèles IA dédiés à l'analyse de menaces et au SOC Réduire les hallucinations grâce aux techniques d'alignement (RLHF, DPO, PPO, GRPO…) Structurer les jeux de données d'entraînement (ChatML, Alpaca…) Mettre en place des pipelines d'évaluation et de benchmarking (MMLU, GSM8K, LLM-as-a-Judge, LMSYS…) Collaborer avec les équipes R&D Cyber et les analystes SOC ✅ Compétences indispensablesExcellente maîtrise du fine-tuning de LLM (LoRA, QLoRA, PEFT) Expérience avec TRL, Unsloth, Axolotl ou frameworks équivalents Solides connaissances en alignement de modèles (DPO, PPO, GRPO, OpenRLHF, verl…) Expertise en évaluation de modèles (MMLU, GSM8K, Evaluation Arena…) Très bonne maîtrise de Python, PyTorch et Hugging Face ⭐ AtoutsConnaissances des environnements SOC et cybersécurité (MITRE ATT&CK, CTI, analyse de logs…) Expérience avec vLLM, Ollama, Triton ou Hugging Face Hub Expérience en environnement R&D IA Générative 📍 Localisation : Régions 👤 Profil : Data Scientist / LLM Engineer Senior (N3) Si vous correspondez à ce profil, n'hésitez pas à me transmettre votre CV ainsi que votre disponibilité. Propose a shorter version optimized to attract more candidates on Turnover.

Job Title: Data Engineer Location: Liverpool, UK Salary: £65,000 - £70,000 per annum, depending on experience Job Type: Permanent, Full Time Working Hours: 37.5 hours per week, Monday to Friday, 9am to 5:30pm We are seeking a talented and experienced Data Engineer to join our innovative and collaborative Database and AI Team. In this role, you will play a key part in shaping our data strategy and driving business success. Your skills will contribute directly to our forward-thinking initiatives. At Acorn we value and prioritise innovation, teamwork, and continuous development. Key part of this role is to support our strategic data goals, ensuring system resilience and performance, and building secure, scalable database architectures. What you will be doing: Design and implement robust data ingestion pipelines for unstructured data using modern data engineering tools and frameworks. Develop and maintain scalable storage solutions (e.g., data lakes, NoSQL databases) optimized for unstructured data. Collaborate with data scientists, analysts, and software engineers to ensure data availability, quality, and usability. Apply data parsing, extraction, and transformation techniques (e.g., NLP, OCR, image/audio processing). Implement data governance, metadata management, and data cataloging for unstructured data assets. Monitor and optimize data workflows for performance, reliability, and cost-efficiency. Ensure compliance with data privacy and security standards. Share knowledge and mentor team members Stay ahead of the curve with the latest database technologies Experience of real time cloud streaming solutions What we are looking for: Essential Skills: Experience dealing with unstructured data including voice, chat, image Proven ability to manage secure, high-performance database environments Excellent communication and cross-functional collaboration skills A passion for continuous learning and innovation Desirable skill: Databricks Azure Fabric Confluent/Apache Flink Knowledge Grow with Acorn At Acorn Insurance, we're proud of our Liverpool roots - and even prouder of how far we've come. As part of the Acorn Group, we bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK and reached a milestone £750 million in total value of insurance policies written in 2024. We're growing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement Benefits: A maximum of 35 days' holiday (including bank holidays) with additional buy/sell options 24/7 mental health support & free counselling available Grow with us: Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Recognition awards, social events & more Our Commitment to our colleague's: These aren't just words - they're the principles we live by. And we're proud to back them up with real action, earning recognition and accreditation from leading organisations that share our commitment to people and growth: Mindful Employer - championing mental health and wellbeing Disability Confident Level 1 & 2 - creating accessible, inclusive opportunities Menopause Friendly accredited - supporting every stage of life Armed Forces Covenant signatory - honouring those who serve Great Places to Work 2024/25 - fostering an engaging and positive workplace culture Best Place to Work for Development - proud to be investing in people's future Best Place to Work for Women - breaking down barriers to women's career progression A Few Things to Know Before You Apply: If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements: Because our training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You: We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support, we'll work with you to make sure you can do your best work. Please click the APPLY button to submit your CV for this role. Candidates with experience or relevant job titles of; Cloud Data Engineer, Data Platform Engineer, Data Analytics Engineer, Data Solution Architect, Database Architect, Infrastructure Engineer may also be considered for this role.

Our government client is looking for candidates who have at least one production AI/ML implementation, recent experience with AWS data services, Terraform, CI/CD, Python, and SQL. Candidates should have more than five years of overall experience and meet the other requirements outlined in the attached JD. Inside IR35 Monthly travel to Swindon, mostly remote Initial 6 months + extensions Job Purpose: The BI Engineer will be responsible for the requirements analysis and design of solutions for data platform, ETL, integration and analysis solutions. Our toolset includes AWS hosted databases (postgres, S3 based data lake, MySQL, Athena), integration services (AWS API gateway, lambda functions), ETL services (AWS Glue, Step functions, AWS Batch), infrastructure a management tool such as Terraform and extensive use of SQLs and python. Key Responsibilities and Accountabilities: The BI Engineer will be a hands-on data developer to develop and construct complete solution designs to complex application requirements across platforms and data sources: 1. Infrastructure Management: a. Set up and manage data infrastructure, including clusters, servers, and cloud-based resources using Terraform. b. Monitor and optimize system performance, troubleshoot issues, and ensure system availability. 2. Data Architecture and Design: a. Design and implement scalable and efficient data pipelines, databases, and data warehouses. b. Collaborate with data visualization and analysts' teams to understand data requirements and translate them into technical specifications. 3. Data Processing: a. Develop and maintain ETL (Extract, Transform, Load) processes for ingesting data from various sources into the data infrastructure. b. Optimize data processing and storage for performance and cost-effectiveness. 4. AI: a. Develop and deploy AI/ML models into production environments. b. Build scalable inference pipelines and AI APIs. c. Implement MLOps workflows for model versioning, monitoring, and retraining. d. Collaborate with data scientists to productionize machine learning solutions. e. Evaluate and optimize AI model performance and operational efficiency. 5. Database Management: a. Manage and maintain databases, ensuring data integrity, security, and availability. b. Implement database schema changes and optimizations as needed. 6. Collaboration: a. Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to meet data requirements. b. Communicate effectively with stakeholders to gather requirements and provide updates on data engineering projects. To Achieve this, you will have the following skills: * Comfortable working in an Agile rapidly changing environment * You will be an accomplished developer and BI Engineer, with excellent python skills. * Experience with the infrastructure deployment tool such as terraform, CDK or cloud formation. * Experience developing API based data integration. * Excellent analytic skills associated with working on structured and unstructured datasets. * Excellent SQL experience on various platforms (SQL, PostgresSQL, PL/SQL etc) * Experience of several of MySQL, Oracle, SQL, Postgres, RDS, Aurora, Athena or other similar large scale database technologies. * Experience working with AI framework such as LangChain / LlamaIndex * Experience with Vector databases (Pinecone, Weaviate, FAISS) This is an outline description of the key responsibilities and accountabilities involved in the job. This is not an exhaustive list and the post-holder might be expected to undertake any other duties across the wider directorate, commensurate with the Band and level of responsibility of this post, for which the post holder has the necessary experience and/or training. 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.

ContexteDans le cadre de la transition vers une architecture Data Mesh, nous recherchons un(e) Data Product Engineerspécialisé(e) dans le développement de pipelines sur la plateforme Talend Real Time BigData et de data products sur la plateforme Starburst (Trino). La mission consiste à concevoir, collecter, intégrer, construire et opérer des jeux de données fiables, auto-descriptifs et interopérables, en collaboration avec les domain teams et les data owners. MissionsConcevoir des flux de données et des Data Products Développer des pipelines d'intégration de données optimisés via la Talend Data Fabric / Talend Real Time BigData Développer des requêtes SQL optimisées pour Starburst/Trino (push-down predicates, partitionnement, formats de fichiers comme Iceberg/Parquet) Automatiser les pipelines de données (ETL/ELT) avec des outils comme Airflow, dbt, ou Starburst Galaxy Configurer des accès sécurisés (RBAC, row-level security) et des politiques de gouvernance (tagging, lineage) Collaborer avec les domain teams pour identifier les sources de données et les cas d'usage Documenter les data products (métadonnées, ownership, qualité) via des outils comme Amundsen, DataHub, ou Starburst Discover Participer à la définition des standards d'interopérabilité (formats communs, APIs de données) Monitorer la performance (latence, coût des requêtes) et la qualité des données (frais, complétude) Mettre en place des alertes et des dashboards (Grafana, Metabase) pour le suivi des data products Contribuer à l'amélioration continue de la plateforme Starburst (scaling, caching, federation) Compétences techniques requisesTalend RealTime BigData : expérience avancée en développement de pipelines sur Talend Studio en mode batch ou route (runtime) Starburst/Trino : expérience avancée en SQL sur Starburst/Trino (jointures, CTEs, fonctions analytiques) Data Modeling Pipelines : expérience avec Airflow/Astronomer, Spark, Talend Real Time Big Data / Talend Data intégration Stockage : connaissance des formats Iceberg, Parquet, S3 Gouvernance : familiarité avec les outils de sécurité (Ranger, RBAC) DevOps/DataOps : pratiques CI/CD pour les pipelines, infrastructure-as-code (Terraform, Kubernetes) Langages : SQL avancé (mandatory), Python (Pandas, PySpark), bash Compétences transverses (Data Mesh)Compréhension des principes Data Mesh (domain-oriented ownership, self-serve platform, federated governance) Capacité à travailler en mode produit (roadmap, priorisation, collaboration avec les métiers) Sensibilité à la data quality (tests, monitoring, remédiation) et à la documentation (data contracts, métadonnées) Soft SkillsEsprit collaboratif : travail avec les équipes métiers, data scientists, et DevOps Pédagogie : capacité à expliquer des concepts techniques à des non-experts Autonomie : prise d'initiative dans un cadre agile Environnement techniqueExpertise écosystème zoo Hadoop Connaissance / maîtrise Data Connaissance / maîtrise technique de l'environnement DevOps Maîtrise technique de l'environnement Data Expertise couche d'accès et d'échange (Kafka, Nifi, …) Expertise Java, Scala, Python, Hive, Spark Expertise ETL, Bash Expertise SQL / NoSQL