At a Glance
- Tasks: Lead the charge in deploying AI and machine learning solutions for real-world business impact.
- Company: Join a forward-thinking company at the forefront of AI decisioning and analytics.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with significant career advancement potential.
- Why this job: Be part of a team that shapes the future of AI in various industries.
- Qualifications: Experience in MLOps, AI solutions, and strong collaboration skills required.
The predicted salary is between 63000 - 77000 £ per year.
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 AI Decisioning & MLOps Strategy
- 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.
- Customer propensity models
- Churn and retention 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
- Websites and digital channels
- Business operating systems
- Ensure analytical outputs drive measurable action and value.
Experience & Skills
- Considerable experience using AWS
- Sagemaker Unified Studio, MLflow, Inference endpoints
- CI/CD for ML (Sage Maker Pipelines, Git Hub Actions/Git Lab CI, or Azure Dev Ops)
- Feature store (Sage Maker Feature Store, Databricks Feature Store, or Tecton)
- Infrastructure as Code (Terraform or Cloud Formation/SAM)
- 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.
• Experience with technologies and platforms such as
- Databricks
- Snowflake
- Sage Maker
- Pega
• Experience within one or more of the following sectors
- Retail
- Consumer Goods
- 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.
- #J-18808-Ljbffr
MLOps Lead in London employer: CACI Ltd
CACI Ltd is an exceptional employer that prioritises teamwork and collaboration, offering a hybrid work model that balances remote and in-office work to meet business needs. With a strong commitment to diversity and inclusion, CACI fosters a supportive environment where employees can thrive and grow, providing ample opportunities for professional development in the dynamic field of network infrastructure and security. The company values its people, ensuring that all employees feel empowered to contribute to a culture of innovation and excellence.
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We think you need these skills to ace MLOps Lead in London
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✨Brush Up on Your Statistics
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