Top Tech Jobs & Startup Jobs

Join a GenAI-focused data science team after completing a free 16-week part-time training. Lead GenAI projects from ideation to production, prototype and evaluate models, collaborate with senior stakeholders, and deliver enterprise-scale AI solutions using NLP, LLMs, ML frameworks, and cloud platforms.

Join a 16-week free, part-time training to become a Functional Tester. Define test strategies, create test plans and scripts, execute manual and automated functional/system/regression tests, manage defects, and collaborate with client teams and architects to support application refactoring and legacy modernisation.

Complete a 16-week free training course to prepare for DevOps roles. Build and maintain GitOps CI/CD pipelines (GitLab CI/CD, Helm, ArgoCD), implement IaC with Terraform, containerise and migrate workloads to Kubernetes/OpenShift, ensure cloud reliability and security (AWS and other clouds), and collaborate across teams to streamline deployments and artifact management.

Complete a 16-week part-time DevOps training then support clients by building GitOps CI/CD pipelines (GitLab CI/CD, Helm, ArgoCD), implementing IaC with Terraform, containerising and migrating workloads to Kubernetes/OpenShift, ensuring AWS-aligned reliability and security, and collaborating with application and infrastructure teams to streamline deployments.

Lead product strategy and roadmap, collaborate with cross-functional teams, prioritise and manage the backlog, drive product innovation using client feedback and industry trends, facilitate agile delivery, and monitor product performance to inform continuous improvement.

Join a public-sector digital transformation as a Solutions Architect: define architectural roadmaps, produce C4/UML artefacts, ensure secure, scalable designs, evaluate technology options, mentor delivery teams, and represent architecture in governance and stakeholder forums.

Participate in a 16-week training linked to a client role to develop AI/ML and generative AI/LLM models, evaluate and document models and risks, produce analyses for business decisions, collaborate with SMEs, and demonstrate leadership and ownership while publishing patents or papers.

Develop and evaluate AI/ML and Generative AI/LLM models from POC to production, perform data science and statistical analyses to support business decisions, document and assess model risk, publish patents/papers, collaborate with SMEs, and provide technical leadership while deploying solutions with modern Agile/DevOps and cloud practices.

The role as a Mid-Level JavaScript Engineer involves designing, developing software, conducting code reviews, and improving secure solutions while collaborating with teams.