AI / ML Senior Consultant
Skills
Computer ScienceSoftware DevelopmentAdoptionArtificial IntelligenceEnhanced Data Rates For GSM EvolutionEvolutionFairness Opinions
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong Python programming and hands-on experience with core ML/AI libraries such as scikit-learn TensorFlow or PyTorch
- Practical experience developing training and evaluating machine learning NLP and predictive models
- Experience deploying AI and ML solutions in the cloud particularly Microsoft Azure including Azure AI ML Azure AI Foundry and Azure OpenAI
- Working knowledge of Generative AI large language models and prompt engineering
- Understanding of MLOps practices including deployment monitoring governance retraining and lifecycle management
- Solid data engineering skills across structured and unstructured data
- Awareness of responsible AI data governance and security
- Strong communication skills for technical and non-technical audiences
- Experience in a consulting or client-facing delivery environment
Nice to have
- Client-facing
- Collaborative
- Innovative
- Analytical
- Security-aware
Day to day
- Design and deploy scalable AI and machine learning solutions for UK public sector clients across Defence Government and Security
- Build production-ready predictive analytics NLP and Generative AI services that turn complex structured and unstructured data into trusted insights
- Collaborate with engineers analysts consultants and client stakeholders to translate operational challenges into secure responsible AI solutions
- Develop reusable AI accelerators improve MLOps capabilities and contribute to proposals demonstrations proof-of-concepts and thought leadership
