Senior Machine Learning Engineer

Signify Technology; London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Private medical insurance

Learning & Growth budgets

Family support policies

Coaching

Employee Assistance Programme

Mental Health First Aiders

Parental leave

IVF support

Shared parental leave

Emergency carer leave

Conferences and learning budgets

Job summary

A tech-driven global company is seeking a Senior Machine Learning Scientist in London. The role involves designing and building ML models, leading projects, and collaborating with cross-functional teams. Ideal candidates have a strong background in ML, Python skills, and experience with cloud tools. They offer a hybrid working model and a range of employee benefits including medical insurance and learning opportunities.

Qualifications

• Experience delivering models into production.
• Ability to lead ML projects and mentor colleagues.
• Strong coding practices.
• Strong Python skills with clean, production-ready coding practices.
• Solid knowledge of data engineering and MLOps principles.
• Ability to lead end-to-end ML projects and mentor colleagues.
• Excellent communication and collaboration skills.

Responsibilities

• Design, build, and scale core ML models.
• Lead high-impact technical projects.
• Collaborate with product managers and engineers.
• Conduct large-scale experiments and A/B tests with statistical rigour.
• Stay up to date with ML research, contribute to knowledge sharing, and help shape long-term strategy.
• Communicate complex technical concepts to both technical and non-technical audiences.

Skills

Proven track record as a Machine Learning Scientist

Expertise with PyTorch, TensorFlow, Transformers

Strong Python skills

Solid knowledge of data engineering and MLOps

Excellent communication skills

MLOps

Leadership

Communication

Tools

Databricks

PySpark

AWS

GCP

Azure

Job description

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Overview

Job title: Senior Machine Learning Scientist

Job type: Permanent

Role Location: London (Hybrid)

The company:

An innovative, global tech-driven marketplace, connecting millions of users and powered by cutting-edge data and engineering. The company values diversity, sustainability, and community while driving forward new approaches to technology and customer experience.

Role and responsibilities

• Design, build, and scale core ML models for applications such as product matching, content understanding, moderation, and personalisation.
• Lead high-impact technical projects, set modelling direction, and mentor junior team members.
• Collaborate with product managers, engineers, and other scientists across the business.
• Conduct large-scale experiments and A/B tests with statistical rigour.
• Stay up to date with ML research, contribute to knowledge sharing, and help shape long-term strategy.
• Communicate complex technical concepts to both technical and non-technical audiences.

Job requirements

• Proven track record as a Machine Learning Scientist delivering models into production.
• Expertise with frameworks such as PyTorch, TensorFlow, or Transformers.
• Strong Python skills with clean, production-ready coding practices.
• Solid knowledge of data engineering and MLOps principles.
• Ability to lead end-to-end ML projects and mentor colleagues.
• Excellent communication and collaboration skills.

Bonus skills (not essential)

• Experience with NLP, image classifiers, deep learning, or large language models.
• Familiarity with A/B testing and experiment design.
• Experience building shared ML systems or platforms.
• Knowledge of Databricks, PySpark, and cloud platforms (AWS/GCP/Azure).
• Flexible hybrid working model.
• Private medical insurance, healthcare cash plan, subsidised counselling/coaching, Employee Assistance Programme, and Mental Health First Aiders.
• Family Support: 18 weeks paid parental leave, plus IVF, shared parental, and emergency carer leave.
• Learning & Growth: Conference and learning budgets, mentorship, and upskilling programmes.

If you'd like to find out more, don't hesitate to apply! Even if you don't tick every box!

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Software Development

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