[Hiring] Machine Learning/AI Engineer @Triumph Research Intelligence

Role Description

Triumph Research Intelligence is a SaaS business on a mission to make Risk-Based Quality Management (RBQM) simple for all clinical trials. Our platform, OPRA, leads to safer patients and happier clinical trials teams – with the end goal being higher quality trials, better drugs getting to market quicker, and ultimately, more lives saved.

As the company rapidly scales, we need to increase our security, so the time is right for an experienced Machine Learning/AI Engineer to join our newly formed Data Innovations Team. Your mission will be to design, build, deploy, and maintain advanced machine learning models, including classical ML, deep learning, foundation-model solutions, and generative AI capabilities. You’ll be the person who turns ambiguous business problems into working AI, from early prototype to production-grade model, while championing ethical, explainable, and secure AI across the organisation.

• Evangelise the enablement of AI across the organisation — advocating for the adoption of AI technologies and ensuring solutions are robust, ethical, secure, and aligned with business strategy.
• Collaborate closely with the CSO, Data Science and other teams to convert business problems into AI solutions, delivering high-value prototypes and production-grade models.
• Develop, train, evaluate, and optimise ML and deep learning models using modern frameworks.
• Build and validate generative AI solutions, including LLM applications, RAG pipelines, and tuned foundation models.
• Implement data pipelines, feature engineering, and model evaluation workflows using best-practice MLOps.
• Deploy, monitor, and maintain ML models in production, ensuring reliability and performance tracking.
• Ensure all AI/ML solutions meet quality, explainability, compliance, and performance requirements.
• Provide thought leadership on AI/ML strategy, governance, and delivery best practices.
• Ensure alignment with security, ethical AI, privacy, and regulatory requirements.
• Create and maintain documentation on AI and Machine Learning processes and systems.

Qualifications

• Degree in computer science, engineering, ML, or equivalent related experience.
• Strong experience building ML and deep learning models using Python.
• Experience developing LLM-based applications and RAG architecture.
• Strong software engineering skills including Git, CI/CD, Docker, and API development.
• Understanding of MLOps tools such as MLflow, Azure ML, or similar platforms.
• Familiarity with responsible AI principles: explainability, fairness, privacy, and regulatory compliance.
• Excellent communication skills with the ability to explain AI concepts clearly to non-technical stakeholders.
• Proven track record of delivering AI/ML solutions in a production environment.

Benefits

• Salary: £65,000 - £75,000 Depending on Experience
• Flexible, remote-first working.
• Generous holiday as standard: 27 days' holiday, with a company shutdown between Christmas and New Year.
• Extra holiday on top: For every full year you are with TRI, you will earn an extra day of holiday, up to a maximum of 30 days.
• Carefully considered, market-leading salaries with annual reviews.
• Enhanced pension offer after probation period.
• Health and well-being support with a health cash plan.
• Life cover at four times your salary from day one.
• In-person meetings and socials, including company conferences and regular team meet-ups.
• Training and development opportunities with regular reviews and goal-setting.