Senior AI Engineer

🕒 il y a 2 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

🤖 Ingénieur IA

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

Cette entreprise a parrainé des visas de Travailleur Qualifié du Royaume-Uni par le passé.

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Aveni

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2018

🤖 Intelligence artificielle

💸 Finance

☁️ SaaS

Artificial Intelligence • Finance • SaaS

<Aveni> est une entreprise technologique qui développe des solutions d'IA axées sur la conformité, basées sur le NLP, pour le secteur des services financiers. Elle propose des produits tels que Aveni Assist (un assistant de réunion IA qui automatise l'administration des conseillers, la mise à jour du CRM et la génération de rapports), Aveni Detect (QA automatisé, détection des risques et des vulnérabilités lors des interactions avec les clients) et FinLLM (un modèle linguistique spécifique à la finance). Aveni offre des solutions d'IA prêtes à déployer ainsi que des solutions sur mesure/codéveloppées pour les PME, les entreprises de taille moyenne et les grandes entreprises, en mettant l'accent sur la sécurité des données, la traçabilité et le suivi réglementaire/conformité (Consumer Duty) pour améliorer la productivité des conseillers et l'assurance qualité.

Description

• Build and optimise LLM-powered systems • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches • Experiment with modern architectures such as Transformers and Mixture-of-Experts • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods • Develop robust evaluation approaches to measure model quality and reliability • Develop scalable AI systems • Build and deploy production-grade NLP pipelines and services • Ensure models operate efficiently with low latency and high availability • Integrate models into scalable cloud infrastructure and real-world applications • Lead the acquisition, processing and governance of large structured and unstructured datasets • Apply exploratory data analysis and validation techniques to improve training pipelines • Ensure data privacy and governance standards suitable for financial services • Contribute to DevOps and MLOps pipelines • Implement robust version control, testing and CI/CD workflows • Support reliable deployment and monitoring of models in production environments • Mentor engineers and contribute to the technical growth of the team • Work closely with product, engineering and data teams to deliver AI solutions • Stay at the forefront of AI and NLP research, applying new approaches where they add value

🎯 Exigences

• Significant experience building, training and deploying machine learning models • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow • Experience working with large-scale unstructured data • Experience building and deploying production-ready NLP systems • Familiarity with API integrations and data acquisition pipelines • Experience implementing software engineering best practices including Git and agile development • Experience working with cloud environments (preferably AWS) • Experience with containerisation technologies such as Docker or Kubernetes (Nice to have) • Experience with frameworks such as vLLM or NeMo (Nice to have) • Knowledge of financial services NLP applications (Nice to have) • Experience designing evaluation methodologies for LLM outputs (Nice to have) • Experience building intelligent agents or multi-agent systems (Nice to have)

🏖️ Avantages

• Remote-first working across the UK • Work abroad policy • Co-working spaces available • 34 days holiday (including flexible bank holidays) and your birthday off • Company-wide off-sites • Optional Personal Development Plan • Flexible benefits platform • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions) • Private health and dental care • Potential share options • Enhanced family leave