Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computervision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/… Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computervision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale … Strong communication skills to explain complex AI concepts to non-technical stakeholders Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at More ❯
Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computervision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/… Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computervision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale … Strong communication skills to explain complex AI concepts to non-technical stakeholders Experience mentoring engineers in AI/ML best practices Required and Preferred Education and Experience Degree in Computer Science, AI/ML, or equivalent experience 8+ years of software engineering experience with 3+ years focused on AI/ML systems Proven experience shipping production AI systems at More ❯
graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and ComputerVision to understand how we can utilise data across all components of insurance, for example in managing risk, and build solutions that enable Liberty Mutual to achieve this. … have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two years' postgraduate relevant Data Science experience in a commercial environment or completed a PhD with two years of suitable … as MongoDB, Snowflake, Spark, or Hadoop. Knowledge and experience of deploying enterprise scale data science products. Experience in coaching and mentoring team members. Experience and skills we'd love: ComputerVision Expertise: Practical experience or exposure to modern computervision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of More ❯
evaluation of AI features in production, using real-world data to guide future enhancements and maintain high performance. Experience/Qualifications Required: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 3+ years of experience in AI/ML applications, computervision, or embedded systems. Experience working with AI/ML More ❯
You'll work with a small, high-performing team to turn deep learning models into practical, production-ready features used across multiple insurance products. If you have experience in computervision, scaling data science solutions, and delivering tangible business value, this is an exciting opportunity to contribute from development through deployment. Experience and skills we need: Professional Python … MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. ComputerVision Expertise: Practical experience or exposure to modern computervision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of More ❯
