Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Technical Engineer

Belfast
7 months ago
Applications closed

Related Jobs

View all jobs

Member of Technical Staff – Machine Learning, AI Safety

Data Scientist - NESO

Head of Forward-Deployed Engineering & Data Science

Senior Data Scientist

Senior Data Scientist

Forward Deployed Data Scientist

Technical Engineer – customer facing role so need to be in Belfast office a few days a week.
Do you want to join a high-growth, dynamic tech business that is impacting real-world issues with its innovative products?
The company
This company are primarily data driven with domain expertise delivering insights to networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based services.
The Role:
Working as a Technical Customer Delivery Engineer with and as part of the internal customer development and delivery team, help enhance the success of our customer deployments and product utilisation. You will do this in both a proactive and reactive mode, where internally we work to enhance and address any potential problems and also to respond to customer queries or issues as they are raised.
This is a technical role, requiring good teamwork and communication skills working across internal development and delivery teams, customer account management, and our customers. You will need to be able to articulate status in terms of delivery of support to customers, and also what is required from other teams to help you make your role successful.
The work is mainly helping customers successfully utilise the product in guiding them to grow their supported network elements, make changes/updates/enhancements to existing configurations, and helping fix/address issues when they occur.
Responsibilities:
AWS Infrastructure Management:

  • Design, implement, and manage AWS cloud infrastructure.
  • Optimise AWS resources to ensure cost-effective and scalable solutions.
  • Monitor and maintain AWS services including EC2, S3, RDS, Lambda, and more.
    Deployment and Release Management:
  • Develop and maintain automated deployment scripts.
  • Ensure smooth and efficient deployment processes.
  • Troubleshoot and resolve deployment issues in a timely manner.
    Containerisation:
  • Implement and manage container orchestration platforms such as Kubernetes, Docker EBS.
  • Ensure containerized applications are secure, scalable, and efficiently managed.
    CI/CD Pipeline Management:
  • Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitLab, Bitbucket
  • Ensure efficient and reliable build, test, and deployment processes.
  • Collaborate with development teams to improve CI/CD practices.
    Monitoring and Performance Optimisation:
  • Implement monitoring tools and practices to ensure the reliability and performance of infrastructure and applications.
  • Identify and resolve performance bottlenecks and system failures.
    Collaboration and Support:
  • Work closely with development, QA to support their infrastructure and deployment needs.
  • Provide technical guidance and support to team members and stakeholders.
    Testing Automation:
  • Develop and implement automated testing frameworks .
  • Work with development teams to integrate automated tests into the CI/CD pipeline.
  • Ensure high test coverage and reliable test results.
    Essential Criteria:
  • Degree level education in a relevant discipline or equivalent experience
  • Ideally 4 years development/delivery experience and 12 months experience in a DevOps role or a developer role involving significant DevOps responsibilities
  • Experienced in at least one of the main cloud technologies – AWS, Azure, RedHat, GCP, IBM Cloud
  • Strong working knowledge of Linux
  • Experience of building and implementing CI/CD pipelines including working with repos, build automation tools, build orchestration and environment automation. e.g. Jenkins, GitHub, GitLab, CloudFormation, Others
  • Experience in implementing tools for logging, monitoring and alerting. e.g. Prometheus, Splunk, CloudWatch, Nagios
  • Experience in creating and automating virtual machines in public and private clouds
  • An understanding or experience of high availability, business continuity and disaster recovery solutions in the cloud
    Benefits:
    Great salary
    Private medical and dental insurance
    24 days annual leave
    Additional day off for birthday
    Enhanced maternity / paternity package
    Hybrid working
    Free parking at office
    Share Options

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.