AI Scientist

About Ultromics

Picture yourself at one of the world's most innovative companies, providing life‑saving AI solutions that can make a real difference in helping to combat one of the world's biggest health burdens. Surrounded by teams and people who challenge you, support you, and inspire you to be extraordinary. Are you ready to join the fight against heart failure? We are redefining Cardiovascular Medicine through transformational AI solutions and work alongside major collaborations such as Mayo Clinic and the NHS England, with one shared ambition, to save lives. Ultromics is a global leader in AI‑powered cardiovascular imaging diagnostics, transforming how heart disease is detected, assessed, and managed. Spun out from the University of Oxford, it leverages a decade of world‑leading research and offers cloud SaaS solutions that deliver actionable insights to clinicians and healthcare systems.

Why Join Us

• Be part of a mission‑led company tackling one of the world's biggest health challenges: heart failure.
• Contribute to cutting‑edge AI technologies backed by robust research, regulatory clearances, and reimbursement pathways.
• Collaborate with a passionate, multi‑disciplinary team of clinicians, scientists, engineers, and commercial experts.
• Work at the intersection of healthcare, AI, and medical imaging with opportunities to shape the future of diagnostics.
• Join us and help change the future of heart health by making cardiovascular disease more detectable, treatable, and survivable for patients everywhere.

Your Role

As an AI Scientist, you will carry out applied research on novel AI‑based solutions for automated analysis of medical images and other types of data relevant to healthcare. You will work within the AI Research Team to support the science and innovation that will underpin next‑generation products using deep learning, computer vision, mathematics, statistics and machine learning methods. Your work will keep the company at the forefront of ground‑breaking research. In this role, you will focus on designing, implementing and evaluating an LLM‑driven multi‑agent pipeline that orchestrates clinical guidelines, third‑party tools, in‑house models, and local analytics to automatically analyse echocardiographic studies, produce structured clinical reports, and support interactive clinician review/clarification.

Your Responsibilities

• Independently lead, and carry out research to characterise and address problems related to echocardiography image analysis, and deliver results in a timely manner.
• Develop new algorithms and computational tools for AI‑enabled medical image analysis involving image quantification, disease detection, etc.
• Document research findings, experiments, and results clearly and concisely.
• Write research papers for publication and abstracts for international conferences.
• Keep up to date with the latest advances in AI, deep learning and medical imaging and utilise these techniques in your research.
• Work closely with clinical scientists, AI engineers and other teams.
• Collaborate with internal engineering teams to transfer research outputs and code into the commercialisation process.
• Review research code created by other team members.
• Review documents, designs, and colleagues' code, providing constructive feedback.
• Follow good information governance practice throughout this job role and ensure compliance with Ultromics information security and data protection policies.

This list is not exhaustive; the post holder may be asked to carry out other duties through discussion with their line manager.

Requirements

• Doctorate in Machine Learning, Image Analysis, AI, computer science or equivalent research experience.
• Strong programming skills in Python and scientific libraries such as PyTorch, scikit‑learn, Pandas, etc.
• Experience with software development tools (e.g., git).
• Strong presentation, writing and communication skills.
• Analytical skills – ability to structure and process qualitative or quantitative data and draw insightful conclusions.
• Creative, innovative mindset: generates new solutions to problems.
• Effective teamwork and strong collaborative spirit.
• Strong background in deep learning for vision and/or language: transformers, multimodal architectures, sequence/video models.
• Good experience with large language models (LLMs), agentic AI, prompt engineering and tool‑calling patterns.
• Ability to work to tight deadlines.
• Strong intellectual curiosity and passion to apply innovative ideas to real‑world problems.
• Strong research track record in the field.
• Adaptability and flexibility – adjusts quickly to changing priorities and conditions.

Desired Skills and Experience

• Background in medical imaging.
• Hands‑on experience building multi‑agent systems or agent frameworks that orchestrate tool calls and reasoning.
• Experience with vision‑language foundation models and video‑to‑text summarisation for clinical use cases.
• Prior publications in medical imaging, multimodal LLMs, or agentic AI.
• Understanding of risks involved in use of sensitive information in AI.
• Experience with project management tools (Jira, Confluence, etc.).
• Experience with cloud platforms such as Azure for training and deployment of AI models.
• Experience in a venture‑capital‑backed start‑up or scale‑up environment.

Benefits

• Flexible working hours (7 am – 7 pm)
• Hybrid working options
• Bonus scheme
• PMI & cash plan
• Life assurance
• Company‑wide events
• Two additional paid company holidays in December (if they fall on Monday‑Friday)
• Two paid volunteering days per year
• Team meal budget
• Wellness benefit
• 5% company pension contribution
• Employee referral reward
• Generous personal learning budget on our online learning marketplace, Learnerbly
• Cycle scheme
• Well‑stocked kitchen with free snacks and great coffee!

Values

• Prioritising patients – everything we do is focused on improving patients' lives through earlier diagnosis, better pathways to treatment, and meaningful clinical outcomes.
• Scientific integrity – evidence‑led and clinically grounded; pursuit of truth over convenience with the highest standards of precision, validation and transparency.
• Bold innovation – challenging convention, embracing complexity and pushing boundaries to transform cardiovascular diagnostics through AI.
• Commitment and craft – showing up with purpose, working hard, and taking pride in our impact.
• Kindness and respect – treating each other, our partners, and our users with consideration and empathy.