Senior AI/ML Consultant

Who you are

• Bachelor's degree, or experience in a professional field or military
• Experience as technical specialist in design and architecture
• Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
• Experience in consulting, design and implementation of serverless distributed solutions
• Experience in software development with object oriented language
• Experience in cloud based solution (AWS or equivalent), system, network and operating system
• Experience in external or internal customer facing, complex and large scale project management
• Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
• Experience in data and machine learning engineering and cloud native technologies
• Eligibility for the UK Security Clearance
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD
• Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3
• Experience with software development life cycle (sdlc) and agile/iterative methodologies
• Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
• Experience creating and delivering written and oral communications for technical and non-technical audiences
• Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
• AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying

What the job involves

• As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers
• You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey
• 1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
• 2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
• 3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
• 4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
• 5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
• 6. Influence customer AI strategy through technical expertise and industry insights
• 7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
• 8. Provide thought leadership in internal and external engagements
• 9. Support pre-sales activities to provide technical expertise and review project scoping and risks