3 of 3 Remote/Hybrid Infrastructure as Code Jobs in the City of Westminster

Data Engineering Technical Lead

Hiring Organisation
Hackajob Ltd
Location
Westminster, Greater London, UK
making across Financial Advice Services, Marketing, Operations, Risk, and other key business functions. Operating in a modern cloud-based environment leveraging Databricks, AWS, and Infrastructure as Code, the successful candidate will lead a team of data engineers while partnering closely with Product Managers, Data Analysts … time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principles Experience implementing Infrastructure as Code using tools such as Terraform or CloudFormation Experience leading technical delivery teams and mentoring data engineers ...

NSL- ML Engineer

Hiring Organisation
Hackajob Ltd
Location
Westminster, Greater London, UK
security AI team, we undertake a variety of projects covering exploratory research into AI methods and approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets. As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that … Data Scientists, Software Engineers, Product Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions. A key aspect to the role ...

Data Architect

Location
Westminster, West End, United Kingdom
growth plans. We currently have over 250 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz with plans to increase our client base further … gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk management are embedded in the solution. ...