Applied AI/ML Lead Research Engineer

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification in artificial intelligence and machine learning concepts, with applied experience
• Advanced proficiency in Python and the modern ML/DL stack, such as PyTorch and Hugging Face
• Hands-on experience evaluating, fine-tuning, and deploying large language models
• Strong grounding in experimental design, evaluation, and benchmarking of ML systems
• Ability to bridge research and engineering, turning prototypes into production-ready capabilities
• Awareness of inference cost, performance, and optimization techniques
• Strong communication skills, including translating research into business and engineering terms
• Published in a top-tier AIML venue such as NeurIPS, ICML, ICLR, ACL, EMNLP, or CVPR, or equivalent open-source/applied research contributions in LLMs, fine-tuning, or efficient inference
• MSc or PhD in Machine Learning, Computer Science, or a related quantitative field, or equivalent applied experience
• Preferred: experience with speech and voice models and audio ML
• Preferred: experience within financial services, particularly wealth, private banking, or asset management
• Preferred: familiarity with data-residency, sovereignty, and Responsible AI considerations for regulated environments
• Preferred: familiarity with JPM-internal AI/ML infrastructure for internal candidates

Responsibilities:

• Lead applied research into open-source LLM evaluation and deployment for cost, sovereignty, and data-residency optionality
• Run fine-tuning work for tone, lexicon, and domain-specific tasks that are currently brittle in prompts
• Investigate inference efficiency and tokenomics, including cost-per-output, model routing, and optimization of production inference
• Prototype voice and image multimodal capabilities, including speech-to-text, text-to-speech, voice agents, and document and image understanding
• Design rigorous evaluation methodologies and benchmarks so research findings are measurable and reproducible
• Partner with AI and platform engineers to productionize research outputs tied to real platform or product needs
• Publish internal findings and raise the teams collective capability through knowledge-sharing
• Act as a recruiting and thought-leadership magnet
• Champion our culture of diversity, opportunity, inclusion, and respect

Technologies:

• AI
• Fine-tuning
• Support
• LLM
• Machine Learning
• Network
• PyTorch
• Python

More:

We are JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) team, and this is a Vice President-level role reporting to the Head of AI, IPB Tech. We are a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business-in-a-first-class-way approach drives everything we do, and we build trusted long-term partnerships to help clients achieve their business objectives. We value diversity and inclusion, provide reasonable accommodations where needed, and support a global workforce that is central to our success. Our Asset & Wealth Management business delivers industry-leading investment management and private banking solutions, with expertise spanning the full spectrum of asset classes through our global network of investment professionals.

last updated 34 week of 2026