Senior Consultant - AI Ops

This is a unique opportunity to join a high-impact consulting team at the forefront of cloud transformation, helping major organisations modernise their operating models and unlock greater value from AI, automation, and technology. As a Senior Consultant within AIOps, you will play a key role in shaping and delivering cloud transformation programmes across a range of sectors. You will work closely with clients and multidisciplinary teams to assess, design, and improve cloud operating models, combining advisory capability with hands-on knowledge of IT operations, observability, service management, DevOps, and emerging AI technologies. Key Responsibilities * Advise clients on cloud transformation strategy and the impact of cloud operating models on business performance * Conduct AIOps assessments and audits to identify improvement opportunities across cloud and operational environments * Monitor and evaluate the maturity and effectiveness of cloud operating model transformations, recommending adjustments where required * Support delivery of business outcomes through strategy development, service management, agile delivery, DevOps, process mapping, and organisational design * Work collaboratively across different levels of client organisations to design and implement practical transformation solutions * Contribute to business development activity, including proposals, RFPs, bids, proposition development, and client presentations * Support internal practice growth through thought leadership, whitepapers, campaigns, team initiatives, and offering development Desirable Experience * Experience applying Lean Six Sigma concepts, frameworks, and best practices, ideally in a process transformation or re-engineering environment * Experience operating as an LSS Black Belt, preferably with certification * Strong knowledge of IT operations, observability, and monitoring practices and tools * Awareness of predictive and prescriptive analytics in an IT operations context * Understanding of AI frameworks and AIOps or MLOps lifecycle concepts * Basic grounding in mathematics and statistics for data handling and AI or ML model evaluation * Familiarity with supervised learning, unsupervised learning, deep learning, and other advanced ML techniques * Knowledge of LLMOps, prompt engineering, RAG, model fine-tuning, and semantic evaluation * Awareness of AI ethics, safety, guardrails, compliance, and optimisation considerations * Experience with DevOps practices including CI/CD, automated testing, and infrastructure as code * Knowledge of major cloud platforms such as AWS, Azure, or Google Cloud, including core services across compute, storage, networking, and security If you are excited by the opportunity to work on complex transformation programmes, develop sought-after expertise in AIOps and cloud advisory, and grow your career in a collaborative consulting environment, this role offers strong exposure, continuous learning, and meaningful long-term progression.