Principal Machine Learning Scientist - ID49000

Humand Talent Ltd.; Greater London; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

Humand Talent Ltd. is recruiting a Principal Machine Learning Scientist in London. The role shapes architecture for intelligent discovery, planning and personalisation across a large-scale marketplace, with hands-on leadership in ML system design and production readiness.

You will work on advanced retrieval, ranking and multimodal modelling, guiding teams and collaborating with Product, Data and Engineering to deliver scalable solutions.

Qualifications

• Hands-on technical leadership with no people management.
• 8+ years of industry experience.
• Expertise in ML for search, ranking, recommendations or personalisation.
• Experience with graph-based ML, knowledge graphs or Generative AI is a plus.

Responsibilities

• Define architecture for large-scale ML systems in production.
• Raise engineering and ML standards across teams.
• Coach and mentor other ML specialists while staying deeply technical.
• Partner with Product, Data and Engineering leaders to shape product direction.
• Translate complex product challenges into scalable production solutions.

Skills

Python

PyTorch

TensorFlow

MLOps

Distributed computing

Embeddings

Recommender systems

Sequential modelling

Education

Master's or PhD in CS/ML/Statistics

Tools

AWS

GCP

Spark

Ray

Job description

Are you excited by search, ranking and recommendation systems at scale?

Do you enjoy turning complex product challenges into elegant, production-ready ML architecture?

Our client is a major digital platform hiring a Principal Machine Learning Scientist to shape the technical direction for intelligent discovery, planning and personalisation across a large-scale marketplace environment.

This is a hands-on technical leadership role, not a people management position. You will define architecture, raise engineering and ML standards, coach strong technical teams and help turn complex product challenges into scalable production systems.

Why This Role is Great

You will have the chance to:

• Shape the ML vision for search, discovery and planning products.
• Design advanced retrieval, ranking and recommendation systems.
• Work with sequential modelling, embeddings, semantic retrieval and multimodal learning.
• Influence MLOps, experimentation, system design and production quality.
• Partner closely with Product, Data and Engineering leaders.
• Coach and mentor other ML specialists while staying deeply technical.

About You

You will likely bring strong experience in:

• Building and deploying large-scale ML systems in production.
• Machine learning for search, ranking, recommendations or personalisation.
• Multi-objective optimisation, such as MTL, MMoE or similar approaches.
• Sequential recommendation systems, temporal modelling or session-based modelling.
• Representation learning, embeddings, semantic retrieval or multimodal ML.
• Python and frameworks such as PyTorch or TensorFlow.
• Cloud and distributed computing using technologies such as AWS, GCP, Spark or Ray.
• Working with systems operating at significant user and data scale.

A Master's or PhD in Computer Science, Machine Learning, Statistics or another highly quantitative field is preferred, alongside around 8+ years of relevant industry experience.

Experience with graph-based ML, knowledge graphs, Agentic AI or Generative AI would also be useful, as would experience within e-commerce, marketplaces or similarly complex digital products.

Location

This role is based in London, with hybrid working and around one day per week in the office.

Our client and our recruitment team are committed to inclusive hiring and welcome applications from people with transferable experience, even where every requirement is not met.