Machine Learning/ AI Engineer at Triumph Research Intelligence

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

75000.0

Posted On

13 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Python, Generative AI, LLM, RAG Architecture, MLOps, Git, CI/CD, Docker, API Development, Azure ML, MLflow, Responsible AI, Software Engineering, Data Pipelines

Industry

IT Services and IT Consulting

Description

About the role 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. What’s more important than that? As the company rapidly scales, accelerated by its strong product-market fit, 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. Your responsibilities will include: 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. Your skills & 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. Our company culture Benefits & compensation Salary: £65,000 - £75,000 Depending on Experience Flexible, remote-first working. You will be able to enjoy all the benefits of working from home, with access to coworking spaces close to you if required (via Hubble membership). Generous holiday as standard. We offer 27 days' holiday, with a company shutdown between Christmas and New Year. Sometimes we also offer an extra, discretionary, paid day off to celebrate a specific company success. 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. We regularly benchmark our salaries to make sure we are offering at the top end of the scale. You will have your salary reviewed annually. Enhanced pension offer. Following your probation period, you can opt in to our enhanced pension contributions arrangement. It’s a salary sacrifice scheme, paid on your full salary (not just the ‘qualifying amount’), which means you get better pension contributions alongside valuable tax and National Insurance savings. Health and well-being support. We offer all employees a health cash plan with Simply Health, allowing you to look after your health and wellbeing every day. Our Optimise Level 5 plan includes cash back for a huge range of health services, including dental and optical, Virtual GP, face-to-face counselling and more. Life cover. You will be covered at four times your salary from day one, paid as a tax-free lump sum to your named beneficiary. In-person meetings and socials. We have company conferences each year, plus regular team meet-ups throughout the year. Training and development. We make sure that you are able to reach your full potential with TRI by offering you access to training and development, plus regular reviews and goal-setting with your line manager. About Triumph Research Intelligence About OPRA (Operational Platform for Review and Analytics) Contact details About us At TRI, our mission is to make Risk-Based Quality Management simple; making it accessible, understandable, and actionable for clinical trials of any scale and complexity. We develop innovative technologies and simplified solutions to empower research organizations and sponsors, ensuring the highest standards of trial integrity and participant safety. Our History! 2013 Establishing our foundation in Cambridge, UK TRI marked its entry into the world of clinical trial quality management by opening our first office in the historic and intellectually vibrant city of Cambridge. This milestone symbolized our commitment to innovation and excellence, setting the stage for a future where research and technology converge to redefine industry standards. 2016 Introducing OPRA, a new era of monitoring Our journey took a significant leap forward in 2016 with the launch of OPRA-CM, our centralized monitoring platform. Designed with precision and user experience in mind, OPRA-CM revolutionized how research data is monitored, ensuring higher quality, efficiency, and compliance in clinical trials. This innovation underscored our dedication to transforming research methodologies through smart technology. 2020 Further advancing risk management In 2020, TRI once again pushed the boundaries of quality management by unveiling our advanced risk assessment and management tool, OPRA-RAM. This tool was developed to empower researchers to proactively identify, evaluate, and mitigate risks in their studies, ensuring the utmost integrity and reliability of research outcomes. This launch not only highlighted our ongoing commitment to safety and excellence but also set new benchmarks in research risk management.

Responsibilities

Design, build, and deploy advanced machine learning models and generative AI solutions to solve ambiguous business problems. Champion ethical and secure AI practices while maintaining production-grade models and MLOps pipelines.