Engineering Manager

Belfast
3 weeks ago
Create job alert

Engineering Manager

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.

The Role:

Working primarily within the engineering organisation, across all delivery teams, the focus of this role is to take on ownership and responsibility for planning, delivery and execution of the technical delivery function. This will require a detailed understanding of the products, features, interactions, utilisation, configurations, customer deployments, services, architecture and roadmap determinations. In addition to execution, it will involve planning for new deployments and the introduction of new product services.

Key Responsibilities:

  • Lead and mentor the Technical delivery teams.

  • Assess delivery capabilities based on engineering delivery needs.

  • Create and execute plans for delivery based on capacity.

  • Communicate delivery and capability status.

  • Assess and measure productivity and utilisation.

  • Assess and feedback on individual performance reviews for reports.

  • Understand the capabilities and services of the product across multiple customers.

  • Work with customers, engineering and business teams to help determine prioritisation for planning and execution of delivery.

  • Understand the deployment, sites and sensors under management across customers.

  • Appreciate the organisation structure and help identify needs/changes for delivery.

  • Engage with Senior Management, HR and direct reports to develop and agree resourcing options and requirements.

  • Support architectural planning and s/w engineering delivery requirements.

  • Contribute to and produce estimations for timeframes and costs in delivery.

  • Advocate for additional tooling or processes with a view to optimisation and improvement.

    Essential Criteria:

  • Degree level education in a relevant discipline or equivalent experience.

  • 10+ years of experience in a delivery execution role.

  • 2+ years in an Engineering Management role.

  • Experienced in at least one of the main cloud technologies – AWS, Azure, RedHat, GCP, IBM Cloud.

  • Clarity in communication.

  • Can-do, problem-solving mindset.

  • Curious and willing to onward develop and learn in ML/AI area.

    Benefits:

    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

Related Jobs

View all jobs

Engineering Manager

Engineering Manager

Software Engineering Manager

Data Engineering Manager

▷ Urgent Search! Security Engineering Manager, AWSSecurity

Senior Engineering Manager - Wellbeing

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.

UK Visa & Work Permits Explained: Your Essential Guide for International AI Talent

The United Kingdom has long been a hub of innovation, drawing some of the world’s brightest minds to its shores. In recent years, the country’s thriving technology ecosystem has been propelled by advances in Artificial Intelligence (AI), Machine Learning (ML), Robotics, Data Science, and related fields. From deep-tech start-ups in Silicon Roundabout to established global powerhouses, the UK remains at the forefront of AI research and development. Yet, for international AI professionals hoping to contribute to the UK’s tech growth, one of the most challenging hurdles can be understanding the visa and work permit landscape. The UK immigration system has its unique nuances, and it can be overwhelming to decide which route is best suited for your career aspirations. This comprehensive guide will help you navigate the main visa and work permit options for AI professionals, provide insight into the eligibility criteria, and offer practical tips on securing your dream role in the British AI sector.

Top UK AI Research Labs & Institutes: Best Places for AI Jobs

In recent years, the United Kingdom has emerged as one of the leading global hubs for artificial intelligence (AI) innovation. With a strong academic tradition, active technology communities, and robust government support, the UK has seen the rise of numerous world-class AI research labs and institutes. Many of these organisations not only drive significant academic breakthroughs but also foster powerful industry collaborations, creating thriving ecosystems where talent, investment, and creativity converge. If you are keen on pursuing an AI career—be it in academia or industry—understanding where these AI powerhouses are located, what they specialise in, and how they collaborate can help you map a clear route to success. In this blog post, written specifically for ArtificialIntelligenceJobs.co.uk, we delve into the top UK AI research labs and institutes, outline the career paths available, and highlight how you can be at the heart of Britain’s AI innovation.