1 day ago
Cambridge, United Kingdom +4 moreSenior
Responsibilities
- Lead complex AI/ML engagements from strategic planning through pre-production deployment and optimization.
- Architect and implement AI/ML solutions using AWS services, particularly Amazon Bedrock and SageMaker.
- Provide technical leadership and mentorship to junior consultants and drive delivery best practices.
- Translate customer business challenges into measurable ML outcomes and delivery roadmaps.
- Lead multidisciplinary teams and coordinate stakeholders on high-impact AI solutions.
- Contribute to applied AI/ML methodologies, reusable solutions, and internal and external thought leadership.
- Support pre-sales activities, project scoping, technical reviews, and risk assessment.
Requirements
- Bachelor's degree or experience in a professional or military field.
- Experience as a technical specialist in design and architecture.
- Experience with databases such as SQL, NoSQL, Hadoop, Spark, Kafka, or Kinesis.
- Experience consulting on, designing, and implementing serverless distributed solutions.
- Experience with software development using an object-oriented language.
- Experience with cloud-based solutions, systems, networks, and operating systems using AWS or an equivalent platform.
- Experience with customer-facing complex, large-scale project management.
- Experience building highly scalable systems involving predictive models or machine learning applications.
- Experience in data engineering, machine learning engineering, and cloud-native technologies.
- Eligibility to obtain UK Security Clearance.
- Preferred: master's degree in a quantitative field or a PhD.
- Preferred: knowledge of AWS services including EC2, ELB, RDS, VPC, Route 53, and S3.
- Preferred: experience with software development life cycle, agile or iterative methodologies, senior-leadership discussions, and technical communication.
- Preferred: Python experience and hands-on work with deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet.
Benefits
- Work location is an AWS office in London, Manchester, Bristol, or Cambridge when not at a customer site.
- AWS provides mentorship, knowledge-sharing, learning experiences, and career-development resources.
- The company promotes workplace flexibility and work-life harmony.
- The role offers an inclusive culture with employee-led affinity groups and learning events.
Tech Stack
Categories
Solutions Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.