Are you ready to make a positive impact in a team where it means more? As a Senior AI Engineer, you'll be at the forefront of developing and deploying AI products that drive business and scientific insights. Your work will involve building models using both foundational and cutting-edge methods, processing structured and unstructured data, and collaborating closely with internal stakeholders to solve complex problems in drug development, manufacturing, and supply chain. This is your chance to contribute to accelerated growth and make people's lives better!

Accountabilities

• Drive the implementation of advanced modelling algorithms (e.g., classification, regression, clustering, NLP, image analysis, graph theory, generative AI) to generate actionable business insights.
• Leadership: mentor AI scientists, plan and supervise technical work, collaborate with stakeholders.
• Work within an agile framework and in cross-functional teams to align AI solutions with business goals.
• Engage internal stakeholders and external partners for the successful delivery of AI solutions.
• Continuously monitor and optimize AI models to improve accuracy and efficiency (scalable, reliable, and well-maintained).
• Document processes, models, and key learnings & contribute to building internal AI capabilities.
• Ensure AI models adhere to ethical standards, privacy regulations, and fairness guidelines.
  
  

Essential Skills/Experience

• Bachelor's in operations research, mathematics, computer science, or related quantitative field.
• Advanced expertise in Python and familiarity with database systems (e.g. SQL, NoSQL, Graph).
• Proven proficiency in at least 3 of the following domains:
• Generative AI: advanced expertise working with: LLMs/transformer models, AWS Bedrock, SageMaker, LangChain
• Computer Vision: image classification and object detection
• MLOps: putting models into production in the AWS ecosystem
• Optimization: production scheduling, planning
• Traditional ML: time series analysis, unsupervised anomaly detection, analysis of high dimensional data
• Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch
• Experience productionizing ML/ Gen AI services and working with complex datasets.
• Strong understanding of software development, algorithms, optimization, and scaling.
• Excellent communication and business analysis skills.
  
  

Desirable Skills/Experience

• Master’s or PhD in a relevant quantitative field.
• Cloud engineering experience (AWS cloud services)
• Snowflake
• Software development experience (e.g. React JS, Node JS)
  
  

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca offers an environment where you can thrive alongside a supportive network of diverse teams. With fair leadership and energised colleagues who always have each other's back, you'll experience a sense of belonging like no other. Our commitment to delivering accelerated growth pushes us to innovate continuously as we transform molecules into medicines using cutting-edge science and sustainable practices. Here, you'll find opportunities for global careers and great rewards as you contribute to making people's lives better.

Ready to take on this exciting challenge? Apply now and be part of our journey!

Date Posted

26-jun-2025

Closing Date

16-jul-2025

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.