Job Description

Job Title:

Network and Cloud AI Engineer

Location:

Basingstoke

Job Type:

Full-time

Department:

AI & Infrastructure / Cloud Engineering

Reports To:

CTO / Head of AI / Infrastructure Lead

About the Role

We are looking for a Network and Cloud AI Engineer to design, deploy, and optimize our AI infrastructure across cloud and hybrid environments. This role combines strong networking fundamentals with hands-on experience in AI/ML deployment, cloud infrastructure, and data pipelines.

You will collaborate closely with data scientists, cloud architects, and DevOps engineers to deliver scalable, secure, and high-performance AI solutions.

Responsibilities

Infrastructure & Cloud

Design and manage cloud-native AI platforms (e.g., Databricks, Azure ML, SageMaker, GCP Vertex AI) Optimize network performance for real-time and distributed AI workloads Manage GPU/TPU infrastructure and scalable compute environments Deploy models using containerization technologies (Docker, Kubernetes)

Networking & Security

Configure VPCs, load balancers, firewalls, and VPNs Secure communication between edge devices, cloud, and data sources Implement IAM policies, encryption, and access controls

AI & MLOps

Support AI workflows: data prep, training, deployment, and monitoring Build and maintain ML pipelines using MLflow, Kubeflow, or CI/CD tools Monitor models for performance, drift, and cost efficiency Optimize AI models for edge, hybrid, and cloud deployment

Collaboration & Documentation

Work with data scientists and DevOps teams on model lifecycle Document infrastructure, architecture, and processes Participate in code reviews and architecture planning
Qualifications

Required

Bachelor's or Master's in Computer Science, Engineering, or related field 3-7 years of experience in cloud infrastructure, networking, or AI deployment Experience with AWS, Azure, or GCP networking and AI tools Proficiency with Docker and Kubernetes Strong understanding of networking (VPCs, routing, firewalls, etc.) Familiarity with ML tools like MLflow, SageMaker, or Azure ML Programming in Python and scripting in Bash/PowerShell

Preferred

Certifications in Databricks, AWS ML, Azure AI, or GCP ML Experience with Kafka, Pub/Sub, or other data streaming tools Knowledge of edge model optimization (e.g., ONNX, TensorRT) Experience in regulated domains (e.g., healthcare, finance, telecom)
Tools & Technologies

Cloud:

AWS, Azure, GCP

AI Platforms:

Databricks, MLflow, Kubeflow, SageMaker, Azure ML

Networking:

VPC, DNS, Load Balancers, VPN, Private Link

DevOps:

Terraform, Ansible, GitHub Actions, Jenkins

Languages:

Python, SQL, Bash
Benefits

Competitive salary with performance bonus Flexible remote work arrangements Certification and training sponsorship Health, dental, and vision insurance Learning and development budget

Note

: At this time, we are not seeking assistance from staffing or recruitment agencies.

Job Types: Full-time, Permanent

Pay: 40,000.00-45,000.00 per year

Work Location: In person

Application deadline: 11/08/2025
Reference ID: TG65042025
Expected start date: 01/10/2025