A deeply technical leadership role to lead how Blue Yonder trains LLM-based agents to operate supply chain software. The role sits at the center of the Model Training Factory to develop specialized AI agents.
Responsibilities
Lead the technical strategy for reinforcement learning, post-training, and tool-using LLM agents within the AI Studio.
Build and manage a team of machine learning engineers working on agent training, RL environments, reward modeling, evaluation, data generation, and training infrastructure.
Design environments where LLM agents learn to operate Blue Yonder software through APIs, tools, workflows, simulations, and human feedback.
Develop training and evaluation systems for multi-step supply chain workflows across planning, warehouse management, transportation, commerce, and network operations.
Define what 'good' looks like for operational agents: correct tool use, constraint adherence, business outcome quality, latency, cost, robustness, escalation behavior, and human trust.
Leading AI-driven Global Supply Chain Solutions Software Product Company, providing services delivery of product implementation and related integration for Supply Chain Planning solutions.
Responsibilities
Strategy, Architecting, Design/Development and leading the technical team on projects and delivery initiatives.
Lead and mentor team of technical associates on Solution implementation, enhancement, managed services, integration, and custom projects.
Estimate the workload of implementation activities, assess business needs, and assess integration complexity/architecture.
Conduct technical analysis sessions with customers to understand functional and technical needs.
Configure and implement Blue Yonder software solutions according to client's specific requirements.
Requirements
Bachelor’s degree
Master’s degree
Nice to have: Enterprise Architecture frameworks certifications
Design and develop advanced data science and analytics solutions for IIOT platforms, enabling data-driven decision-making and supporting long-term AI/ML strategy.
Responsibilities
Design and develop advanced data science and analytics solutions
Enable data-driven decision-making through statistical analysis and predictive models
Transform large-scale industrial and telemetry data into actionable business insights
Support long-term AI/ML and analytics strategy within TPD digital initiatives
Develop scalable analytical models and performance-critical algorithms using Python
Requirements
Bachelor’s or Master’s degree in Mathematics, Data Science, Statistics, Computer Science, or related field
Nice to have: Experience with Apache Spark and Databricks
A T-shaped professional role focused on delivering data and analytical solutions on analytics and big data platforms, acting as a technical expert within an Agile/Scrum environment.
Locations (2)
Lincoln, Lincolnshire, United Kingdom
Huntingdon, Cambridgeshire, United Kingdom
Compensation
£43k - £50k, salary dependant on skills and experience
Responsibilities
Actively contribute to work estimation
Adopt and embed agile development and continuous improvement into team ways of working
Support the onboarding of new team members & coach other Data Engineers
Actively contribute to drafting and updating service policies, procedures, work instructions and guidance notes
As a BI Solution Architect/Dimensional Modeller, design robust, secure and supportable corporate data solutions
Lead system-level validation and characterization of low‑power MCU architectures, develop firmware and automation frameworks, and mentor a team of engineers.
Locations (2)
Hyderabad, Telangana, India
Singapore, Singapore
Responsibilities
Develop and execute system‑level validation plans
Develop embedded firmware (C/Assembly) to enable validation scenarios
Build automation frameworks in Python to control lab instruments
Validate and characterize analog, digital, and mixed‑signal subsystems on silicon
Debug system‑level issues and collaborate with design, firmware, and applications teams
Requirements
Nice to have: RF systems Tx/Rx chains
Nice to have: wireless SoCs BLE Wi‑Fi proprietary RF
Lead security operations and incident response across Australia, managing security tooling, cloud and infrastructure security, and stakeholder engagement.
Responsibilities
Provide primary security operations and incident response coverage across Australia
Configure, optimise, and maintain advanced security tooling
Partner closely with local and global technology teams
Design, implement, and optimise robust security controls and architectures
Evaluate complex cyber threats and translate technical investigations into risk assessments
Requirements
Tertiary qualifications in Computer Science, Information Security, or a related discipline
We are seeking a highly motivated Senior Specialist, Reporting & Data Stewardship to support the delivery of enterprise reporting, analytics, data stewardship across Colleague Services and Operations Risk & Resilience.
Responsibilities
Support the delivery of enterprise reporting, analytics, data stewardship across Colleague Services and Operations Risk & Resilience.
Act as a key partner to business stakeholders, data engineering teams, and technology partners to ensure trusted, scalable, and actionable data is available for decision-making.
Manage reporting requirements, developing dashboards and analytics solutions, driving automation opportunities, and ensuring robust data pipelines and data quality standards are maintained within the enterprise data warehouse ecosystem.
Partner with business leaders to understand strategic and operational reporting requirements.
Translate business requirements into scalable data, reporting, and dashboard solutions.
Stage PFE – Structuration indicesNewSociété Générale · Paris, France