Senior ML Engineer - Logistics (Hybrid, London)

Sotalent; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Sotalent is seeking a Senior Machine Learning Engineer to design, build and optimise scalable ML systems in a logistics tech environment, driving production deployments and robust inference pipelines in London.

You will collaborate with data science, data engineering and software teams, provide technical leadership, and shape long-term ML infrastructure while delivering reliable, efficient solutions across real-time and batch workflows.

Qualifications

• Extensive experience designing, deploying and maintaining production ML models and services.
• Expert-level knowledge of cloud technologies, ideally AWS.
• Strong experience with containerisation and orchestration tools, preferably Kubernetes.
• Deep understanding of software engineering, DevOps and MLOps practices.
• Strong knowledge of machine learning and experience collaborating with Data Scientists.
• Experience with MLflow for experiment tracking and model management.
• Familiarity with Airflow or Dagster for ML pipeline orchestration.
• Significant Data Engineering experience, including Kafka and stream processing technologies.
• Strong Python and SQL programming skills.
• Proven technical leadership and experience driving engineering best practices.
• Excellent communication, problem-solving and stakeholder collaboration skills.

Responsibilities

• Design and oversee complex machine learning pipelines across logistics-related domains.
• Build, deploy and continuously improve data science applications and production ML models.
• Manage real-time and batch inference systems supporting predictive platforms.
• Optimise machine learning models and services for performance, reliability and scalability.
• Lead the integration of new technologies and tools into existing infrastructure.
• Establish and promote best practices across machine learning engineering and MLOps.
• Work closely with Data Science teams to support model deployment and optimisation.
• Collaborate with cross-functional teams to identify future technical requirements and implement long-term solutions.
• Provide technical leadership and communicate complex concepts to technical and non-technical stakeholders.

Skills

Machine learning

Cloud AWS

Kubernetes

DevOps / MLOps

Python

SQL

Leadership

Communication

Data engineering (Kafka)

ML pipeline design

Tools

MLflow

Airflow

Dagster

Kafka

Job description

Sotalent is seeking a Senior Machine Learning Engineer to design, build and optimise scalable ML systems in a logistics tech environment, driving production deployments and robust inference pipelines in London.

You will collaborate with data science, data engineering and software teams, provide technical leadership, and shape long-term ML infrastructure while delivering reliable, efficient solutions across real-time and batch workflows.