Applied Scientist (AI & Machine Learning)

Applied Scientist (AI & Machine Learning)

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City, London (Hybrid - 3 days per week)
£90,000 - 120,000, 15 - 20% bonus target
We're looking for an experienced Applied Scientist to help shape the future of AI within a leading global insurance organisation. This is an opportunity to solve complex business challenges using cutting-edge AI, machine learning, and large language models while setting technical standards for a high-performing data science team.
You'll play a hands-on leadership role, partnering with engineering and business stakeholders to design, build, and deploy AI solutions that deliver measurable business value.
What you'll do
Lead the design and development of AI and machine learning solutions using LLMs, generative AI, and agentic AI.
Solve complex business problems through advanced analytics, experimentation, and statistical modelling.
Build production-ready AI solutions from concept through deployment and monitoring.
Establish best practices for model evaluation, testing, validation, and responsible AI.
Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation (RAG), and AI agents.
Mentor data scientists and provide technical leadership through code reviews and coaching.
Partner with engineering teams to deliver scalable, reliable AI solutions.
Present technical concepts and recommendations to senior business stakeholders.
What we're looking for
Extensive experience developing AI and machine learning solutions in production environments.
Strong expertise in large language models, generative AI, RAG, prompt engineering, and agentic AI.
Excellent Python programming skills and experience with modern AI and data science frameworks.
Strong foundation in statistics, machine learning, and mathematical modelling.
Experience designing evaluation frameworks for AI systems, including model performance and monitoring.
Hands-on experience with Databricks, MLflow, Spark, or similar cloud-based data platforms.
Knowledge of responsible AI, model governance, and explainability.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Desirable
Experience with AI agent frameworks and orchestration tools.
Insurance or financial services experience.
Postgraduate qualification in Computer Science, Mathematics, Statistics, Data Science, or a related discipline. xwzovoh
City, London (Hybrid - minimum 3 days per week in the office)
Compensation
Base salary: £90,000 - 120,000
Annual bonus: 15-20% target
Comprehensive benefits including medical coverage, retirement plans, paid time off, wellness programmes, and tuition assistance.