Data & ML Platform Engineer

We’re partnering with an innovative organisation operating at the forefront of autonomous systems. As they continue to expand their Data & AI capabilities, they’re looking for a Data & ML Platform Engineer to help build and evolve the infrastructure that powers data processing, machine learning, and next-generation autonomous solutions.

The Role

You’ll sit at the intersection of Platform Engineering, Data Engineering, and MLOps, helping to design, build, and maintain a modern Data & AI Platform.

Working closely with Data Scientists, Software Engineers, and Platform Teams, you’ll be responsible for creating scalable infrastructure, developing robust data pipelines, enabling ML workflows, and driving platform reliability and automation., * Design and maintain scalable data and machine learning infrastructure

• Build and optimise data pipelines for large-scale data processing
• Support model deployment, monitoring, and MLOps workflows
• Manage cloud-native platforms and containerised environments
• Implement observability, monitoring, and alerting solutions
• Develop Infrastructure as Code and automation frameworks
• Collaborate with cross-functional teams to support data-driven initiatives
• Contribute to the ongoing evolution of the organisation’s Data & AI Platform

We’re interested in engineers with experience across several of the following areas:

Programming & Development

• Python, Go, Java, or Rust

Cloud & Infrastructure

• Google Cloud Platform (preferred), AWS, or Azure
• Kubernetes and Docker in production environments
• Infrastructure as Code using Terraform and/or Ansible

Data Engineering

• SQL databases including PostgreSQL, MySQL, or SQL Server
• Data modelling and data warehousing
• Large-scale data processing with Spark
• Workflow orchestration using Airflow

MLOps & Platform Engineering

• Machine learning deployment and monitoring
• MLOps tooling and automation
• CI/CD pipelines and DevOps best practices

Observability & Reliability

• Prometheus
• Grafana
• Loki
• ELK Stack
• Monitoring, telemetry, and platform performance optimisation, * 3+ years’ experience in Data Engineering, Platform Engineering, Cloud Engineering, MLOps, or a related field
• Strong problem-solving and analytical skills
• Comfortable working in a fast-paced engineering environment
• Passionate about building scalable, reliable, and automated platforms
• Excellent communication and collaboration skills

Security Requirements

Due to the nature of the work, candidates must be eligible to obtain SC Clearance. This typically requires having lived in the UK continuously for the last 5 years.

• Salary around £80,000+, depending on experience
• 10% annual bonus (historically very reliable)
• Hybrid working with Bristol as the preferred location
• Potential flexibility for remote working arrangements
• Opportunity to work on cutting-edge autonomous vehicle and UAV technologies
• Collaborative and highly technical engineering environment
• Long-term career growth within a rapidly evolving sector

If you’re excited by the challenge of building the data and machine learning platforms that power the future of autonomous systems, we’d love to hear from you