Lead Machine Learning Engineer

We are working with a well-established multinational organisation that is continuing to expand its advanced analytics and AI capability in the South East. They are seeking a Lead Machine Learning Engineer to drive the design and delivery of scalable, production-grade ML solutions that directly support key business outcomes.

As a Lead Machine Learning Engineer, you will design, build, and deploy robust machine learning and data science solutions within a modern cloud-enabled environment. You will work closely with cross-functional teams to ensure data is leveraged effectively as a strategic asset.

Key Responsibilities:

• Design, develop, and deploy scalable machine learning and data science solutions

• Lead development of production-grade ML models and supporting pipelines

• Drive best practices across DataOps, DevSecOps, and ML engineering

• Work across cloud and containerised environments to support model deployment

• Improve data quality, performance, reliability, and scalability of data platforms

• Translate business requirements into data-informed technical solutions

• Contribute to data modelling, governance, and security best practices

• Develop and execute testing strategies for ML and data solutions

• Mentor and provide technical guidance to engineering team members

• Influence architectural decisions and promote a data-first engineering culture

Requirements

Essential:

• 4+ Years of industry based experience in machine learning / data science engineering

• Proven experience delivering production ML solutions

• Strong programming skills in Python (R also beneficial)

• Experience working with Linux-based and cloud environments (AWS preferred)

• Familiarity with containerisation technologies (e.g., Docker/Kubernetes)

• Solid understanding of data modelling, data pipelines, and scalable architectures

• Experience across the full software development lifecycle (SDLC)

• Strong testing and validation experience for data and ML systems

• Excellent problem-solving and technical leadership skills

Desirable:

• Experience with data science platforms such as Dataiku

• Exposure to GenAI patterns (e.g., RAG)

• Knowledge of data governance, privacy, and security frameworks

• Experience improving performance and reliability of large-scale data systems

• Background mentoring or leading other engineers

Benefits :

• Competitive Salary
• Private Health and Dental
• Life Assurance
• Wellness Benefits
• Fantastic Family support options
• L&D Support

This role is 2 days a week on site in the South east o being within a commutable distance in the mentioned location is crucial

Get in touch with Daniel Brown at Reperio Human Capital to find out more!