Senior AI Engineer - Biomedical Knowledge Platform

Causaly; City Of London; Sur place; GBP 70 000 - 120 000; Plein temps

Avantages offerts par ce poste

Competitive compensation package

Private medical & dental insurance

Life insurance (4 x salary)

Personal development budget

Wellbeing budget

25 days holiday plus bank holidays

Your birthday off!

Impactful international team

Résumé du poste

Causaly is building a biomedical knowledge platform powered by AI. We’re seeking AI engineers with 5+ years of production ML experience to design end-to-end ML/AI solutions, ensure reliability with CI/CD and observability, and collaborate across product and design teams.

You will mentor peers and stay current with the latest AI research to advance our platform. Join a fast-growing team in London, working on generative AI, LLMs, and agent-based systems to accelerate scientific discovery and

Qualifications

• Master's degree or above in Computer Science, Electrical Engineering or related field.
• 5+ years of experience building AI/ML systems in production environments, including ownership of data collection, modeling, evaluation, deployment, and monitoring.
• Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications.
• A solid understanding of LLMs for natural language processing applications, including embeddings, prompt engineering and fine-tuning.
• Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale.
• Experience working in product-focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively
• Ability to reason about system behavior end-to-end, including model performance, latency, and observability, and how these impact user experience.
• Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate.

Responsabilités

• Design and implement ML/AI solutions end-to-end, from the idea and data exploration phase to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact.
• Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments.
• Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance.
• Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user-facing features powered by AI.
• Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration.
• Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real-world performance tracking.
• Mentor junior AI engineers and cross-functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high-trust, high-performance team culture.
• Stay up-to-date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities.
• Contribute to a culture of knowledge sharing, through company-wide Slack channels, Show and Tell presentations and technical deep-dives.

Connaissances

Python

PyTorch

TensorFlow

LangChain

APIs

CI/CD

Observability

Mentoring

Communication

ML deployment

Formation

Master's degree in CS/EE or related

Outils

Docker

Kubernetes

MLflow

Git

Description du poste

Causaly is building a biomedical knowledge platform powered by AI. We’re seeking AI engineers with 5+ years of production ML experience to design end-to-end ML/AI solutions, ensure reliability with CI/CD and observability, and collaborate across product and design teams.

You will mentor peers and stay current with the latest AI research to advance our platform. Join a fast-growing team in London, working on generative AI, LLMs, and agent-based systems to accelerate scientific discovery and