Hybrid Senior AI Manager / Lead Data Scientist

at Daxtra

• Job title: Senior AI Manager / Lead Data Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cloud, Django, Docker, Flask, Google Cloud Platform, Microservices
• Location requirements: Hybrid, Musselburgh, United Kingdom

About the role

• Lead AI initiatives as Senior AI Manager at Daxtra, driving innovation in AI/ML solutions and managing a data science team. Collaborate across departments to integrate advanced AI capabilities into products.

Responsibilities

• Lead and manage a team of data scientists and ML engineers, fostering innovation and collaboration.
• Develop, train, and deploy AI/ML models with a focus on Generative AI, embeddings, vector search, and deep learning.
• Research and implement state-of-the-art techniques in NLP, LLMs, and representation learning.
• Optimize and scale AI models for real-world applications in a production environment.
• Collaborate with product and engineering teams to integrate AI capabilities into enterprise solutions.
• Stay updated on advancements in AI/ML, evaluating emerging tools, frameworks, and methodologies.
• Establish best practices for AI model governance, ethics, and responsible AI deployment.
• Mentor junior team members and contribute to an AI-driven culture.
• Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, AI, Data Science, or a related field.
• 7+ years of experience in AI/ML development, with at least 2 years in a leadership or managerial role.
• Strong experience with Generative AI, embeddings, vector databases, and representation learning.
• Generative AI experience with Hugging Face, fine-tuning open-source LLMs like Mistral/Llama/Gemma/Phi/Qwen, vLLM, Text Generation Inference, unsloth, LoRA, adapters, DPO, ORPO, hugging face inference endpoints, LlamaIndex.
• Experience with retrieval-augmented generation (RAG), semantic search, and LLM fine-tuning.
• Knowledge of cloud-based AI solutions (AWS, GCP, Azure) and MLOps best practices.
• Excellent problem-solving skills and ability to translate business challenges into AI solutions.
• Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker).
• Strong communication and collaboration skills.

Benefits

• Opportunity to lead cutting-edge AI initiatives in a dynamic environment.
• Work with a team of passionate AI/ML experts driving innovation.
• Competitive compensation, benefits, and opportunities for professional growth.
• Flexible work environment with remote-friendly options.