Why This Role Stands Out
This hybrid role offers an exceptional opportunity to shape the infrastructure of a cutting-edge AI platform, fostering significant career growth and skill development in cloud-native technologies and MLOps. You'll thrive here if you're a mid-senior engineer passionate about building scalable, secure systems and collaborating with top technical talent to drive innovation. Apply to make a tangible impact on groundbreaking AI solutions!
Quick Overview
Job Description
We're partnering with an organisation delivering a cutting-edge AI platform project. This is an opportunity to join a highly technical team building the cloud infrastructure and platform capabilities that power large-scale AI and machine learning solutions.
You'll play a key role in designing, building and maintaining scalable, secure and resilient platform infrastructure, enabling engineering and data teams to deploy and operate AI workloads efficiently.
What you'll be doing:
- Building and managing cloud-native infrastructure to support AI and ML applications.
- Designing and maintaining Kubernetes environments for production workloads.
- Developing and managing Infrastructure as Code using Terraform.
- Supporting CI/CD pipelines and platform automation initiatives.
- Improving platform reliability, observability and scalability.
- Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance.
Essential experience:
- Strong commercial experience with Kubernetes.
- Hands-on experience building Infrastructure as Code using Terraform.
- Experience working with cloud platforms such as AWS, Azure or GCP.
- Experience with containerisation technologies including Docker.
- Strong understanding of CI/CD principles and DevOps best practices.
- Experience supporting highly available, scalable production environments.
Nice to have:
- Experience with Kubeflow and ML platform tooling.
- Exposure to AI, machine learning or GenAI projects.
- Experience with observability tooling such as Prometheus, Grafana or OpenTelemetry.
- Experience working within regulated or enterprise environments.
This is a fantastic opportunity to join a high-profile AI programme with significant investment and visibility, working alongside some of the brightest engineers in the industry to build the next generation of AI infrastructure.
49914MSR
INDLON
The Portfolio Group are acting on behalf of our client in recruiting for this position.
Similar jobs
- AM
Power Platform Engineer
NewAnson McCade
Birmingham, West Midlands🇬🇧£55k - £75k/yrHybridYesterdayAzureTechnology - RR
Senior Linux DevOps Engineer
NewRedTech Recruitment Ltd
City, London🇬🇧Hybrid1 hour agoTechnology - VI
Senior Site Reliability Engineer
NewVIQU IT Recruitment
Leeds, Yorkshire🇬🇧£65k - £75k/yrHybrid1 hour agoAWSCDKTechnology - MG
Senior DevOps Engineer
NewMCS Group
Belfast, Northern Ireland🇬🇧£70k/yrHybridYesterdayDockerMySQLAWS+10Technology - FR
DevOps Engineer (Blockchain)
NewFuel Recruitment
London🇬🇧On-site3 hours agoGCPSmart ContractsBlockchain+4Technology - FO
Senior Platform Engineer
Focused
London🇬🇧1 week agoDockerAgileKubernetes+1Technology