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Lead machine learning engineer

Reperio Human Capital
Machine learning engineer
Posted: 25 March
Offer description

Lead Machine Learning Engineer ****** Desired skills: Machine Learning, AI, Python, Data 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 (., 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 (., 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

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