Senior AI Engineer

Salary: £45,000 - 45,000 per year

Requirements:

• A masters degree or above in Computer Science, Electrical Engineering or a related field.
• 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: 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.
• Experience with MLOps/LLMOps frameworks and best practices is a plus.
• A PhD in Computer Science, Electrical Engineering or a related field is a plus.
• A background or work experience in life sciences, health-tech, or other data-intensive domains is a plus.

Responsibilities:

• 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.

Technologies:

• AI
• CI/CD
• Fine-tuning
• LLM
• MLOps
• PyTorch
• Python
• Slack
• TensorFlow

More:

We are Causaly, redefining how humans acquire knowledge and develop insights in biomedicine through our AI-powered platform for discovering and interpreting evidence from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes. We are building the worlds most advanced biomedical knowledge platform, powered by a high-precision Knowledge Graph and GenAI capabilities, and our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery, improve safety, and drive better decision-making. Backed by top-tier investors including ICONIQ, Index Ventures, Pentech, and Marathon, we are scaling rapidly and expanding our product suite and market presence. We are hiring AI engineers to help transform research outcomes in biomedical sciences and work with generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. The role is based in London, is full time, and is hybrid. We offer competitive compensation, private medical and dental insurance, life insurance (4 x salary), a personal development budget, an individual wellbeing budget, 25 days holiday plus bank holidays, and your birthday off. We are an equal opportunity employer and welcome applications from all backgrounds. We are on a mission to accelerate scientific breakthroughs for all humankind, and we are proud to be building a transformative AI product with an international team.

last updated 35 week of 2026