Senior Research Engineer (City of London)

About Us

We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that customers love by harnessing cutting-edge AI to transform their shopping experience.

About the Job

We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping.

Key Responsibilities:

• Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems.
• Innovate upon state-of-the-art ML research applied to consumer personalisation.
• Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs).

Essential Qualifications:

• 3-5+ years implementing applied machine learning research in a production setting
• MSc in Computer Science, Machine Learning, or a closely related field
• Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised learning, reinforcement learning, deep neural networks)
• Excellent Python programming skills with experience in developing and debugging production-level code

Desired Skills (Bonus Points):

• Proven experience in recommender systems, behavioural AI, and/or reinforcement learning.
• Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt).
• PhD in Computer Science, Machine Learning, or a closely related field

What We Offer:

• Opportunity to build technology that will transform millions of shopping experiences
• Real ownership and impact in shaping our product and company direction
• A dynamic and collaborative work environment
• A chance to work with cutting-edge technologies and solve challenging problems
• Competitive compensation
• Equity in a rapidly growing company