Overview

Talent with ambition to grow into a role will be a key differentiator of a successful candidate. Glass ceiling smashers especially welcome. We are looking for a Senior Director of AI and Machine Learning to lead our AI and ML development. This role is a technical expert driving hands-on development from prototyping to production ready systems. The role will focus on solving complex clinical development challenges using AI and Machine Learning. From design of AI agents, communication architectures for agents, and developing automated techniques for designing and evaluating agentic systems, to traditional deep learning model development and deployment, including Causal Machine Learning. The role will interact with product, design, engineering, MLops, and domain experts and partners. On top of technical expertise, this role is also expected to hire and nurture a high performing team. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That''s why we work, on average, a minimum of three days per week from the office.About the role / Responsibilities

This is a hands-on role with management responsibility, expect 50%-time spending on coding. You will:Lead the design, development, and deployment of sophisticated agentic AI applications tailored to life sciences/health tech challenges.Develop automated techniques for designing and evaluating agentic systemsIdeate, develop, and evaluate different tools for agents (e.g., search, memory, context compression, communication architectures for agents).Design specialized agent/LLM observability pipelines for prototypes and production systems.Develop bespoke deep learning models, from model design, training, testing all the way to deployment.Using causal machine learning for decision making.Hire, mentor and develop an AI team, fostering a culture of innovation and continuous learning, led by example with best ML and software engineering practice.Lead a portfolio of high-impact AI projects.Drive technical and project-level architecture decisions, guiding multi-functional teams through stages of the AI lifecycle.Deliver production ready code.Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformationRepresent the company''s AI expertise at conferences, publications, and industry events.If you are a solid coder with hands on experience of developing AI agentic solutions, good understanding of modern deep learning, strong AWS skills, and a voracious learner then you could be a fantastic fit for our team. Background in Biostatistics and Causal Inference will be a strong add on. Ph.D. or equivalent experience in a relevant field (such as mathematics, computer science, data science, etc).Qualifications

10+ years of proven experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AIProven track record of developing creative and novel AI solutions that have driven significant business impact.Extensive prior experience exploring and testing large language model behaviour, prompting and building products with language models.Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc).Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare.Previous experience of training (fine turn) large language models, hands on experience with DeepSpeedExtensive experience with AWS services (e.g., SageMaker, Bedrock, MSK, EKS, OpenSearch).Proven record of shipping production level code with best software engineering practiceExperience with containerization technologies, CI/CD, front and backend of web applicationsExcellent verbal and written communication skills with experience presenting to executive leadership and partners.Demonstrated ability to lead and inspire multi-functional teams.Experience with TypeScriptExperience with AWS CDKDemonstrated technical leadership experience, including successful delivery of large-scale AI projects.Experience designing and implementing novel AI architectures or algorithms in real-world products.Desirable Skills/ExperienceExperience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.).Contributions to open-source AI projects or development of proprietary AI frameworks.Expertise in areas such as reinforcement learning, few-shot learning, meta-learning, Causal AI.Experience of BiostatisticsKnowledge of drug development and previously experience of working in pharmaceutical industries is nice to have but not required.Note: This description preserves the original content while reorganizing into clearly labeled sections and removing extraneous boilerplate where possible.

#J-18808-Ljbffr