14 hours ago
London, United KingdomStaff+

Responsibilities

  • Lead the technical implementation and evolution of CACI’s AI Decisioning and MLOps capability.
  • Design scalable architectures, standards, frameworks, governance processes, and reusable assets for production AI.
  • Create deployment frameworks for propensity, churn, customer lifetime value, forecasting, optimisation, geospatial, and Next Best Action models.
  • Implement model monitoring, drift detection, retraining, and lifecycle management processes.
  • Integrate AI outputs and decision engines into CRM, customer data, marketing, contact centre, web, and business operating systems.
  • Deliver production AI solutions across client engagements and connect analytical outputs to measurable business value.
  • Work across consulting, data science, and engineering teams and engage senior stakeholders on technical and business outcomes.
  • Build and scale a strategic AI decisioning capability across CACI’s client base.

Requirements

  • Production-grade Python experience and considerable AWS experience.
  • Experience with SageMaker Unified Studio, MLflow, inference endpoints, model monitoring, drift detection, and ML CI/CD.
  • Experience with Docker, Kubernetes or EKS, feature stores, and infrastructure-as-code using Terraform or CloudFormation/SAM.
  • Experience with A/B testing and experimentation frameworks and awareness of data privacy, GDPR, and consent management.
  • Experience deploying and operationalising generative AI solutions using LLMs, RAG, agentic workflows, and real-time inference architectures in enterprise environments.
  • Strong understanding of AI, machine learning operations, decisioning ecosystems, data engineering, cloud platforms, and modern data architectures.
  • Experience working in multidisciplinary analytics, technology, and consulting teams and delivering commercial value through data and AI.
  • Experience engaging senior stakeholders and translating technical concepts into business outcomes.
  • Desirable experience with Databricks, Snowflake, SageMaker, Pega, customer decisioning platforms, and relevant client sectors.
  • Applicants must have the right to work in the UK.

Benefits

  • Opportunity to define and build a strategic AI decisioning and MLOps capability within a leading UK data, analytics, and insight business.
  • Opportunity to shape AI, machine learning, and decisioning delivery across clients and influence the future direction of CACI’s Consumer & Market Intelligence and Experience & Transformation groups.
  • The employer is committed to a diverse, equal-opportunity environment.
  • The role is based in the UK and requires the successful candidate to have the right to work in the UK.

Tech Stack

AWSDatabricksDockerGitHub ActionsGitLab CI/CDKubernetesMLflowPythonSnowflakeTerraform
CACI International

About CACI International

10,000+ employees

CACI International is a public government contractor that delivers enterprise IT, cybersecurity, electronic warfare, space, and intelligence solutions to U.S. defense, intelligence, and federal civilian customers. It provides systems engineering, software and data services, and mission support across C4ISR and business systems, primarily through long-term government contracts. Founded in 1962 and headquartered in Reston, Virginia, CACI trades on the NYSE under the ticker CACI.

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