Working EnvironmentYou will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued.The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes.What You'll Be Doing- Design, build and deploy applied AI and data science solutions that deliver measurable ...
Financial Crime Business Analyst (AVP) - Business Change & TOMContract Opportunity | Financial Services | Hybrid WorkingA leading financial services organisation is seeking an experienced Business Analyst to join a high-profile Financial Crime Analytics programme. This role will focus on business change, regulatory delivery, and operational enhancement initiatives supporting AML, Fraud, and Transaction Monitoring programmes.What You'll Be DoingEngage with stakeholders to gather, analyse, and...
Working EnvironmentThe organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an ability to balance assurance, delivery pace and pragmatism. This work operates in a supportive, understanding, committed and inclusive team.You will engage with senior technical, delivery, commercial and business stakeholders, often operating in contested or ambiguous situations. The ...
Working EnvironmentYou'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively.Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science ...
Working EnvironmentThe organisation is building momentum in AI but remains relatively early in its maturity. This creates both ambiguity and opportunity.You will work closely with engineers, technical leaders, product and delivery colleagues, supporting teams as they learn, adapt and scale AI-enabled engineering practices. Success depends on judgement, empathy and clear communication as much as technical understanding.What You'll Be Doing- Provide leadership and support to engineering teams ...
Working EnvironmentData engineering work is grounded in real operational needs, often involving imperfect data, technical constraints and organisational complexity. Engineers work closely with delivery teams and stakeholders to understand problems end to end and deliver robust, production-grade solutions.Collaboration, pragmatism and persistence are valued, alongside strong engineering craft.What You'll Be Doing- Design, build and improve enterprise-scale data pipelines, platforms and services- ...
Working EnvironmentYou'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism.What You'll Be Doing- Design, deploy and operate platforms and services on Kubernetes-based environments- Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform- ...
Working EnvironmentYou will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards.You will work within security, compliance and governance constraints where quality and judgement matter as much as pace.What You'll Be DoingLead end-to-end delivery of machine learning solutions, from problem ...
What You'll Be Doing- Design, build, and operate AI‑enabled software and platform solutions- Develop and maintain API‑driven services and integrations that allow systems to work effectively with AI capabilities- Contribute to the evolution of existing applications towards modern, service‑based and cloud‑native architectures- Implement and operate integration mechanisms between software systems and AI platforms, including emerging patterns where appropriate- Apply AI tools to support engineering ...
What You'll Be Doing- Provide technical leadership across AI-enabled software and DevOps engineering teams- Set architectural direction for API-first design, system integration, and platform enablement for AI- Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures- Define and guide integration patterns between applications, platforms, and AI services- Make informed decisions on when and how emerging integration approaches (e.g. protocols ...