Senior Machine Learning Engineer

ZipRecruiter; Birmingham; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

A fast-growing technology company is seeking a Machine Learning Engineer to develop scalable systems. This hybrid position requires a minimum of 5 years in ML engineering and offers a competitive salary between £70,000 and £85,000. The role includes designing and deploying ML models, collaborating with teams, optimizing algorithms, and building production-ready systems.

Qualifications

• Minimum 5 years in ML engineering, ideally in a retail or e-commerce context.

Responsibilities

• Design and deploy machine learning models for recommendation, classification, forecasting, and anomaly detection.
• Collaborate with data engineers to prepare structured and unstructured datasets.
• Optimise algorithms for accuracy, efficiency, and cost-effectiveness.
• Build and manage production-ready ML systems with low latency and high reliability.
• Conduct experiments and A/B tests to validate model performance.

Skills

Machine Learning Engineering

SQL

Communication

Organizational Skills

Proficient in Go, Python, or R

Education

Degree in Software Engineering, Data Science, or related field

Tools

Google Cloud Platform (GCP)

scikit-learn

TensorFlow

PyTorch

Keras

OpenCV

Docker

Kubernetes

Job description

Overview

Role: Machine Learning Engineer

Location: Hybrid (Remote + 1 day/week in Birmingham)

Salary: £70,000 - £85,000

About the Company

A fast-growing technology company specialising in intelligent shopping solutions for online retailers is seeking a Machine Learning Engineer to develop scalable, high-performance systems. The team includes engineers, marketers, and data specialists working collaboratively to deliver advanced AI-driven platforms.

Key Responsibilities

• Design and deploy machine learning models for recommendation, classification, forecasting, and anomaly detection
• Collaborate with data engineers to prepare structured and unstructured datasets
• Optimise algorithms for accuracy, efficiency, and cost-effectiveness
• Build and manage production-ready ML systems with low latency and high reliability
• Conduct experiments and A/B tests to validate model performance
• Work cross-functionally with product, analytics, and development teams
• Monitor system performance and implement continuous improvements
• Document workflows and mentor team members on ML best practices
• Align deliverables with company OKRs and manage workload effectively
• Maintain high code quality and system scalability
• Stay current with ML and AI advancements and drive innovation
• Provide feedback and support team development

Requirements

Experience and Qualifications

• Minimum 5 years in ML engineering, ideally in a retail or e-commerce context
• Degree in Software Engineering, Data Science, or related field

Technical Skills

• Proficient in Go, Python, or R
• Strong SQL skills and experience with large-scale data warehouses
• Experience building classification models (binary, multi-class, anomaly detection)
• Familiarity with unsupervised learning algorithms such as K-Means and DBSCAN
• Hands-on experience with scikit-learn, TensorFlow, PyTorch, Keras, OpenCV
• Deep expertise in Google Cloud Platform (GCP), including BigQuery, Vertex AI, and AlloyDB
• Familiarity with Docker and Kubernetes

Soft Skills and Behaviours

• Strong communicator across technical and non-technical teams
• Detail-oriented with excellent organisational skills
• Self-motivated and efficient in managing workload