and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as … code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of … PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWSLambda, Athena More ❯
3+ years of professional experience (A technical assessment will be required) Experience with Javascript, NodeJS, Express, Mongo Ability to create clean, modern, testable, well-documented code Serverless experience with AWSlambda or Azure functions Advanced English fluency, verbal and written Professional, empathic, team player Problem solver, proactive, go-getter Why Lumenalta is an amazing place to work at More ❯
Belfast, County Antrim, Northern Ireland, United Kingdom Hybrid/Remote Options
Aspire Personnel Ltd
in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. The Data Engineer will have experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. You will join the business at a period of huge growth. JOB DESCRIPTION … While the client is keen to use the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: AWS is a significant growth area for the business with a diverse and growing capability, and we are looking for a Data Engineer with experience in AWS cloud technologies … for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve More ❯