Delivery Manager - Green Tech (AI)

Enso Recruitment
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Senior AI Delivery Manager — Azure & MLOps Lead

Senior Data Scientist

Technical Program Manager - Machine Learning - New York

Technical Program Manager - Machine Learning - New York

Product Manager (Artificial Intelligence) - Ipswich, Norwich, Cambridge, Chelmsford

Technical Program Manager - Machine Learning - New York

Enso Recruitment are delighted to be partnered with one of Northern Ireland’s most successful AI & Green Tech based businesses who are currently going through a rapid period of growth, to recruit for the role ofDelivery Manager.


AsDelivery Manager, you will take ownership for the planning and delivery of product features and customer enhancements across the entire engineering department. You will consider the business needs, technical requirements, required team inputs, planning and delivery in a client facing environment.


Reporting to the Head of Product Development and Delivery, theDelivery Managerwill have a mix of Product Management, Project Management & Programme Management, and have exposure in planning for options & prioritisation of customer delivery.


The Role:

  • Collaborate with the Head of Product Development, Delivery, and CTO to strategize and plan delivery initiatives.
  • Evaluate organizational structures and delivery capabilities to ensure alignment with goals.
  • Gain a comprehensive understanding of the product’s capabilities and services across various customers.
  • Develop a strong understanding of the domain and the practical applications of the product.
  • Contribute to roadmap planning by prioritizing features based on internal objectives and market demands.
  • Partner with customers, engineering teams, and business units to establish prioritization for delivery planning and execution.
  • Monitor deployment processes, sites, and sensor management across the customer base.
  • Identify and recommend delivery options considering feature requirements and available resources.
  • Support architectural planning and software engineering needs to facilitate delivery.
  • Take ownership of delivery planning and ensure accountability for execution.
  • Provide time and cost estimations for project planning and execution.
  • Maintain and oversee high-level plans for feature and customer delivery, ensuring progress is tracked and reported.
  • Assist in all phases of engineering service delivery, from initial ideation to technical architecture development.
  • Seek opportunities to improve delivery efficiency and optimize processes.
  • Advocate for the adoption of tools or processes to enhance delivery performance and productivity.


The Person


ESSENTIAL CRITERIA:

  • Bachelor’s degree in a relevant field or equivalent professional experience.
  • Over 10 years of experience in software, product, or engineering delivery roles.
  • Proficiency with at least one major cloud platform, such as AWS, Azure, Red Hat, Google Cloud (GCP), or IBM Cloud.
  • Excellent communication skills with the ability to convey ideas clearly and effectively.
  • A proactive, problem-solving approach with a positive "can-do" attitude.
  • A curious mindset, with a commitment to ongoing learning and development, particularly in the areas of machine learning (ML) and artificial intelligence (AI).


DESIRABLE CRITERIA:

  • Experience of AWS services and utilisation
  • Experience of Agile Scrum, Lean or Kanban using JIRA, or similar agile tracking tools
  • Experience in delivery of S/W products


The Package

  • Competitive Salary
  • Private Medical and Dental
  • 24 days + Stat Holidays
  • 5% Matched Pension
  • Share Options
  • Hybrid Working


To be considered for this or similar opportunities, please reach out to Enso Recruitment today!

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.