MLOPs Lead

CACI Digital Experience (formerly Cyber-Duck); Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

CACI Ltd in London seeks an experienced AI Decisioning & MLOps lead to build a market-leading capability deploying machine learning and AI into client systems. You will create scalable architectures, governance, and reusable assets across consulting, data science and engineering teams.

The role focuses on productionising predictive models, AI solutions and datasets for real-world business outcomes across retail, financial services, utilities and public sectors.

Qualifications

• Production-grade Python development experience.
• Experience with AWS and ML tooling.

Responsibilities

• Lead the technical implementation and evolution of CACI's AI Decisioning and MLOps capability.
• Design scalable architectures that productionise analytical outputs into decisioning systems.
• Create standards, frameworks and governance for production AI.
• Develop reusable assets, accelerators and best practices.
• Connect analytics to business outcomes across client workflows.

Skills

Production grade Python

AWS

Sagemaker Unified Studio

MLflow

Model monitoring

CI/CD for ML

Docker

Kubernetes

Feature store

Terraform

GDPR

LLMs / RAG

Stakeholder engagement

Data engineering

Tools

Databricks

Snowflake

SageMaker

Pega

Customer decisioning platforms

Job description

Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn and employing approx. 22,000 people worldwide.

CACI Ltd is an international data and technology consultancy with £154m turnover and 1200 employees. We are passionate, progressive and unafraid of challenge; our mission is to use technology and data-driven insight to make a commercial difference.

We provide expert advice and hands-on system management to help our national and global clients get the most from technology and data. We use innovation wisely to deliver well thought-out digital solutions and software.

CACI's Consumer & Market Intelligence and Experience & Transformation groups provide data, software and consulting services to improve our clients’ sales and marketing programmes.

We help clients find, retain and grow profitable customers through our understanding of consumer characteristics and behaviour. And we help commercial property developers and retailers plan retail provision in the UK and overseas.

C&MI and E&T Groups help clients shape the vision, define the strategy and deliver a truly integrated customer experience. Our services are based on in-depth understanding of individual consumer behaviour and marketing technology which influence the way consumers buy products and services through a combination of data, technology and consultancy.

• We are seeking an experienced and commercially minded AI Decisioning & MLOps lead to build and lead a market-leading capability focused on deploying machine learning, AI and decisioning solutions into real-world business environments.
• This role will move CACI beyond traditional analytics delivery by operationalising predictive models, AI solutions and proprietary datasets within client systems. You will create scalable decisioning solutions that continuously learn, adapt and improve outcomes across customer acquisition, retention, experience, operations, risk and growth.
• Working across consulting, data science and engineering teams, you will help shape and deliver production AI solutions for clients across retail, consumer goods, financial services, utilities, property and public sector markets. Recent internal strategy and proposition development work has highlighted a growing focus on AI decisioning, operationalised analytics and always-on learning systems.

Key Responsibilities

• Lead the technical implementation and evolution of CACI's AI Decisioning and MLOps capability.
• Design and implement scalable architectures that operationalise analytical outputs into production decisioning systems.
• Create standards, frameworks and governance processes for production AI.
• Develop reusable assets, accelerators and best practices.

Build Production AI Solutions

• Advise on the framework to transform predictive models into enterprise-grade production solutions.
• Create deployment frameworks for:
• Next Best Action models
• Customer propensity models
• Churn and retentio...ns
• Customer lifetime value models
• Forecasting and optimisation models
• Geospatial and location intelligence models
• Implement model monitoring, retraining and lifecycle management processes.

Connect Analytics to Business Outcomes

• Design solutions that integrate AI into client workflows and operations.
• Advise on the framework that connects models and decision engines into:
• CRM platforms
• Customer Data Platforms
• Marketing automation platforms
• Contact centres
• Websites and digital channels
• Business operating systems
• Ensure analytical outputs drive measurable action and value.

Essential

Experience & Skills

• Production grade Python experience
• Considerable experience using AWS
• Sagemaker Unified Studio, MLflow, Inference endpoints
• Model monitoring / drift detection (e.g. SageMaker Model Monitor, Evidently, WhyLabs)
• CI/CD for ML (SageMaker Pipelines, GitHub Actions/GitLab CI, or Azure DevOps)
• Containerization & orchestration (Docker, Kubernetes/EKS)
• Feature store (SageMaker Feature Store, Databricks Feature Store, or Tecton)
• Infrastructure as Code (Terraform or CloudFormation/SAM)
• A/B testing / experimentation frameworks
• Data privacy/governance awareness (GDPR, consent management)
• Experience deploying and operationalising generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows and real-time inference architectures in enterprise environments.
• Strong understanding of AI, machine learning operations and decisioning ecosystems.
• Experience working in multidisciplinary teams across analytics, technology and consulting.
• Track record of delivering commercial value through data and AI.
• Experience engaging senior stakeholders and translating technical concepts into business outcomes.
• Strong understanding of data engineering, cloud platforms and modern data architectures.

Desirable

• Experience with technologies and platforms such as:
• Databricks
• Snowflake
• SageMaker
• Pega
• Customer decisioning platforms
• Experience within one or more of the following sectors:
• Retail
• Consumer Goods
• Financial Services
• Utilities
• Property
• Public Sector

Personal Attributes

• You’ll be successful in this role if you are:
• Commercially minded and outcome-focused
• Passionate about AI and emerging technologies
• Comfortable navigating both strategic and technical conversations
• Naturally collaborative and influential
• Curious, innovative and pragmatic
• Energised by building new capabilities and scaling teams
• Motivated by delivering measurable impact for clients

Success Measures

• Within The First 24 Months, Success Will Include
• Establishing production-grade AI deployment standards and frameworks across CACI engagements.
• Delivering multiple production AI solutions for clients.
• Increasing adoption of production AI solutions across client engagements.
• Creating reusable deployment frameworks and accelerators.
• Embedding AI-driven decisioning into client operations.
• Strengthening CACI's position as a leader in data-driven decisioning and operational AI.

Why Join Us?

• This is a rare opportunity to define and build a strategic growth capability within one of the UK's leading data, analytics and insight businesses.
• You will shape how AI, machine learning and decisioning are delivered across our client base, influence the future direction of C&MI and play a key role in transforming how organisations use data to make decisions.
• If you are excited by the opportunity to build something new, work with exceptional colleagues and help organisations realise the full potential of AI, we'd love to hear from you.

We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Successful candidates must have the right to work in the UK.