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

Apply Now

Technical Engineer

Belfast
6 months ago
Applications closed

Related Jobs

View all jobs

Technical Data Engineer - Technical Writer

Technical Data Engineer - AMM

Technical Data Engineer

Technical Data Engineer - Technical Writer

Technical Data Engineer - AMM

Technical Data Engineer - AMM

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.