Xcede

About the Company

Global Technology Recruitment Specialists.

We source and select top talent across all technology sectors globally.

Founded in 2003, our vertical specialists provide global transformational talent in data, AI & machine learning, product, software, cloud and cyber. As part of the Xcede Group, we work with businesses, from pioneering start-ups to global brands, to find project-based or permanent talent that enables innovation in line with their vision and goals.

Listed Jobs

Company Name

Xcede

Job Title

SAP Data Migration Manager – End-to-End

Job Description

**Job title:** SAP Data Migration Manager – End-to-End **Role Summary:** Lead end‑to‑end SAP data migration for a strategic program, defining strategy, managing lifecycle, coordinating stakeholders, and ensuring data quality and integrity. **Expectations:** • Deliver a comprehensive migration strategy aligned with SAP rollout • Champion data quality, consistency, and integrity throughout all phases • Manage timelines, risks, and deliverables for extraction, cleansing, mapping, conversion, loading, and validation • Collaborate with functional, technical, and business teams **Key Responsibilities:** • Define and drive SAP data migration strategy and best practices • Lead the full migration lifecycle: extraction, cleansing, mapping, conversion, loading, and validation • Coordinate functional, technical, and business stakeholders to ensure synchronization • Oversee migration tools, methodologies, and technology selection • Monitor risk, schedule, and data deliverables to ensure on‑time, on‑budget completion **Required Skills:** • In‑depth knowledge of SAP data migration concepts and processes • Proficient in data extraction, cleansing, mapping, conversion, loading, and validation techniques • Strong stakeholder management and cross‑functional coordination abilities • Excellent analytical, problem‑solving, and risk‑management skills • Familiarity with PLM (Product Lifecycle Management) systems is advantageous **Required Education & Certifications:** • Bachelor’s degree in Information Systems, Computer Science, or related field • Relevant SAP data migration or data management certifications preferred (e.g., SAP Certified Application Associate – Data Migration)

Paris, France

Hybrid

12-03-2026

Company Name

Xcede

Job Title

Senior Machine Learning Engineer

Job Description

**Job Title:** Senior Machine Learning Engineer **Role Summary:** Design, develop, and deploy production‑grade machine learning systems for the retail domain, ensuring scalability, reliability, and adherence to best practices while collaborating closely with cross‑functional teams to solve client challenges. **Expectations:** - Deliver end‑to‑end ML solutions that meet real‑world operational goals. - Own the technical quality and performance of deployed models. - Advocate for robust ML architectures and scalable tooling. - Translate complex ML concepts into actionable business insights for stakeholders. **Key Responsibilities:** - Architect and implement ML pipelines that run reliably at scale on cloud platforms. - Build and maintain scalable ML tooling, infrastructure, and CI/CD pipelines. - Collaborate with data scientists, software engineers, and product owners to define requirements and validate solutions. - Participate in technical architecture reviews, ensuring systems are extensible and maintainable. - Champion best practices for model deployment, monitoring, and governance. - Serve as a technical advisor to clients and partners, demonstrating practical applications of ML solutions. **Required Skills:** - Proficient in Python, with a solid grasp of data‑structure libraries (e.g., NumPy, Pandas, Scikit‑learn). - Strong command of the full machine learning lifecycle: data preparation, feature engineering, model selection, evaluation, and deployment. - Hands‑on experience with cloud services (primarily AWS) and infrastructure‑as‑code. - Skilled in containerizing applications (Docker) and orchestrating them (Kubernetes). - Deep understanding of machine learning fundamentals – algorithms, statistics, probability. - Excellent communication skills, able to explain technical concepts to both technical and non‑technical audiences. - Proven ability to thrive in fast‑paced, high‑ownership environments. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related technical field. ---

London, United kingdom

Hybrid

Senior

17-03-2026