Ai jobs

This role is ideal for an AI scientist who deeply understands quant workflows, market dynamics, and the language of quantitative finance but approaches it from a platform and engineering perspective.

You'll architect and implement AI-driven systems that enable quant teams to build, test, and deploy models efficiently and securely.

As the AI Engineer, you will play a key role in building AI products from concept to production. You'll work at the intersection of technology and business: designing, deploying, and scaling models that deliver measurable impact across different sectors.

As the Head of AI products, you will be the driving force behind all AI product initiatives, responsible for the entire lifecycle from ideation and development to successful rollout and impact measurement.

This is a critical, hands-on builder role where your direct involvement in constructing AI products will be paramount. While third parties will support aspects of the build, your expertise within technical execution is essential.

This role focuses on designing and deploying machine learning models and data science solutions to solve real-world business challenges. You'll work closely with cross-functional teams to extract insights from complex datasets and support strategic initiatives across all operations & BU's.

This role is inherently technical, requiring a deep understanding of AI methodologies, architectures, and deployment at scale.

You will bridge the gap between high-level strategic vision and hands-on technical execution, ensuring all ambitious AI initiatives are delivered effectively and align with the organisations long-term objectives.

As an experienced AI/ML Engineer, you will design, develop, and deploy both classical machine learning models and cutting-edge generative AI solutions.

You will work closely with cross-functional teams to solve complex business problems and bring AI into production at scale

You will be at the core of designing, deploying, and maintaining robust AI/ML solutions in production, with a strong focus on pricing models, demand forecasting, route optimisation, and real-time logistics decision-making.

Working closely with Data Science, Engineering, and Product teams, you'll ensure models are production-ready, scalable, and delivering measurable impact.

The Director, AI Adoption & Value Realisation, will be a critical strategic leader, bridging the gap between advanced AI development and real-world business impact.

This role requires a deep understanding of how AI technologies, particularly Generative AI and Agent AI, can solve complex business problems, enhance operational efficiency, and create new revenue streams.

In this pivotal role, you'll be instrumental in shaping innovative, data-driven digital marketing strategies to elevate brand presence, boost customer engagement, and drive lead generation across all digital channels. With a strong focus on leveraging AI tools to predict consumer behaviour and improve marketing efficiency.

This is a foundational role responsible for architecting and enabling the entire tech landscape of the business. The focus is on curating and integrating cloud native, AI native platforms across core business functions. You will lead the setup of IT managed services and corporate systems that are fast to deploy, future proof, and deeply embedded with intelligent automation.

This is a hands on role for someone who thrives in high stakes environments and wants to build secure, scalable systems that support advanced financial platforms. You'll work closely with engineering and data teams to embed security into every layer of the stack.

The Director of Digital Operations & Transformation will lead the strategic and operational execution of the organisation's digital transformation agenda. This role will drive the development of scalable, AI-powered digital solutions that enhance student recruitment, retention, and experience.

As Head of Data Science, you'll be responsible for setting the vision, strategy, and technical roadmap for all data science initiatives. You'll lead the design of models, analytics platforms, and AI-driven insights that directly influence investment decisions across diverse asset classes. This role blends leadership with hands-on delivery, requiring both strategic thinking and technical depth.

The General Manager - IT and Digitalization will shape the digitalization roadmap and foster the use of AI, innovation, and technology across both corporate IT and operational technology (OT) environments.

The ideal candidate will bring strong leadership capabilities and 20+ years of experience in large-scale IT and digital transformation, ideally within the petrochemical, energy, manufacturing and production or heavy industrial sectors.

Demonstrate advanced skills in dashboard development, data modeling, automation, and Python-based machine learning.

This role will focus on building impactful visualisations that drive financial insights, streamline business processes, and integrate cutting-edge AI technologies like Copilot to enhance reporting and analytics.