Senior ML Engineering Manager – Applied ML & Research

super

United Kingdom

On-site

GBP 120,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Medical / Health Insurance
Open Annual Leave
Employee Assistance Programme
Training & Learning Development

Job summary

Super is seeking a hands-on Senior Engineering Manager for Applied Machine Learning & Research to drive ML system development and delivery. You will balance technical contributions, project coordination, and people management, guiding a team of 4–5 data scientists and ML engineers to deliver value across predictive analytics, personalization, and real‑time recommendations.

You will collaborate with product management and stakeholders, stay current with ML/AI trends, and ensure production‑ready

Qualifications

  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • 4+ years of experience in machine learning and data science roles.
  • 5+ years of experience leading and managing engineering teams, supporting the growth and performance of engineers.
  • Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Experience with cloud computing platforms, primarily AWS, and containerisation technologies such as Docker and Kubernetes.
  • Excellent problem‑solving skills and the ability to work both independently and collaboratively.
  • Strong communication and interpersonal skills.

Responsibilities

  • Design, develop, and deploy advanced machine learning models to solve complex business problems.
  • Manage and prioritise machine learning projects to align with business goals and objectives.
  • Lead and mentor a team of data scientists and ML engineers, providing guidance and support in their day-to-day activities.

Skills

Leadership
Python
Communication
Problem Solving
Project Management

Education

Master's or Ph.D. in Computer Science / Data Science / ML

Tools

TensorFlow
PyTorch
JAX
AWS
Docker
Kubernetes
Spark
Snowflake
MLflow
Airflow

Job description

Super is seeking a hands-on Senior Engineering Manager for Applied Machine Learning & Research to drive ML system development and delivery. You will balance technical contributions, project coordination, and people management, guiding a team of 4–5 data scientists and ML engineers to deliver value across predictive analytics, personalization, and real‑time recommendations.

You will collaborate with product management and stakeholders, stay current with ML/AI trends, and ensure production‑ready

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