AWS Analytics and Machine Learning Engineer

1st Floor, Centre House, Chichester Street, Belfast, County Antrim, BT1 4JR, United Kingdom, Belfast BT1 4JR, GB

Full-time

About us

We believe in the power of ingenuity to build a positive human future.

As strategies, technologies and innovation collide, we create opportunity from complexity.

Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.

An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists.

We operate globally from offices across the UK, US, Netherlands and Nordics.

PA. Bringing Ingenuity to Life.

As a team, we transform our client's businesses using a combination of strategic thinking, customer-centric service design, and agile engineering practices. We do this at internet scale - driving innovation and enriching people's lives. Our skills and talent enable PA's purpose of creating positive a human future in a technology-driven world.

As part of our Digital team, you'll work alongside colleagues from across PA - delivering transformative digital solutions to today's most complex business challenges. Our teams are trusted to deliver and given the space to be awesome. We're an inclusive community for the curious, generous, pragmatic, and committed digital practitioner.

We are seeking an AWS Analytics and Machine Learning Engineer with strong fundamentals in data science, machine learning, and AWS technologies. You will be responsible for developing and deploying advanced analytics and machine learning solutions on the AWS platform, leveraging services like SageMaker, and integrating with other AWS services and open-source tools to create innovative and efficient data-driven solutions.

As an AWS Analytics and Machine Learning Engineer, you will have:

• Strong knowledge and experience in AWS technologies, particularly in the analytics and machine learning domains such as SageMaker, EMR, Glue, Redshift, Kinesis, Lambda, and DynamoDB.
• Hands-on experience with machine learning techniques and algorithms, including supervised, unsupervised, and reinforcement learning.
• Proficient in data manipulation and analysis using Python, R, or other relevant languages.
• Implementing and deploying machine learning models using tools like TensorFlow, PyTorch, and similar.
• Familiarity with data visualization and reporting tools such as Tableau, Power BI, or custom solutions built using libraries like Matplotlib or Seaborn.
• Developing and maintaining data pipelines and ETL processes, leveraging AWS services or open-source equivalents.
• Knowledge of container technologies like Docker and container orchestration tools such as Kubernetes or AWS ECS.
• Experience in implementing logging, monitoring, and alerting solutions, e.g., CloudWatch, Elasticsearch, Logstash, and Kibana (ELK Stack).
• Familiarity with CI/CD principles, and experience working with tools like Jenkins, Git, and Terraform.
• Strong problem-solving skills and the ability to work in cross-functional Agile teams, participating in Scrum ceremonies.

As an AWS Analytics and Machine Learning Engineer, you will have:

• Designing and implementing end-to-end analytics and machine learning solutions on AWS, from data ingestion to model deployment and monitoring.
• Collaborating with other engineering teams to integrate machine learning components into production systems.
• Performing data exploration, cleaning, and pre-processing, ensuring data quality and integrity.
• Developing and optimizing machine learning models to address complex business challenges, iterating, and refining as needed.
• Communicating insights and results to stakeholders through visualizations and reports, helping to drive informed decision-making.
• Ensuring the proper application of security and compliance requirements within the solutions you develop.

Inclusion & Diversity

We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skill sets. This diversity stimulates a rich, creative environment – one in which our people develop, and our clients enjoy enduring results. We’re committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA’s goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status.

Should you need any adjustments to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.com

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