Software Delivery Manager

Aqovia
London
1 year ago
Applications closed

Related Jobs

View all jobs

On Senior Lead - Machine Learning Software Engineer

Lead Software Engineer (Machine Learning)

Machine Learning Engineering Manager, Gen AI

AI Engineer / Machine Learning Engineer

Senior Data Scientist

Faculty Fellowship Programme - Data Science - May 2026

Aqovia is an international Artificial Intelligence (AI) and digital solutions specialist, combining innovative and cutting-edge technologies to provide bespoke, mission critical, and transformational solutions.

Join Us -If you are passionate about technology and looking for a company that values your contributions and supports your career aspirations, we invite you to explore opportunities with us. Together, we can shape the future of tech solutions and create a workplace where everyone thrives.

Why Aqovia?

Since 2008, Aqovia has been at the forefront of technology innovation, serving clients in telecommunications, media, and technology. We specialise in architecture, design, and software development for transformative projects. Join a team that values innovation, expertise, and commitment to excellence.

Embark on a journey with Aqovia, where your management skills and client engagement expertise will be crucial in shaping the future of technology solutions.

Job Description

Are you a seasoned Software Delivery Manager with a passion for consultancy and a knack for leading successful projects? Aqovia is seeking a talented individual like you to step into the role of Delivery Manager.. This hybrid / London-based opportunity is ideal for professionals adept at managing software development life cycles, client relationships, and contributing to the company's growth through consultative sales.

Your Role:Bridging Technical Expertise and Client Engagement

Aqovia is an equal opportunity employer, valuing diversity and inclusivity.

In this role, you will:

  • Guide Technical Teams: Steer a proficient software development team, ensuring alignment with client expectations in quality, cost, and timeliness. Lead them through Agile-based software development programs. 
  • Master Client Relationships: Foster and maintain strong client relationships, balancing client needs with internal resources. Utilising your Agile expertise to manage these relationships effectively. 
  • Strategic Growth and Risk Management: Expand Aqovia's presence through strategic sales and client engagement. You'll play a key role in risk identification and management, aligning with revenue and account objectives.

Key Accountabilities:

  • Oversee multiple Account / project deliveries, focusing on efficiency and scalability. Ensure Agile Best Practices: Uphold and continually improve Agile practices across all projects and teams.
  • Comprehensive Reporting: Execute transparent and effective communication, detailed customer and internal reporting aligned to DORA metrics, providing insights into project status, risks, areas for improvement and opportunities.
  • Professional communication skills are essential. Candidates must possess excellent English communication skills, both written and verbal, to effectively manage business interactions and maintain a professional tone in all commercial correspondence.
  • Nurture, grow and manage the performance of technical teams consisting of full stack developers, Dev Ops Engineers, Technical analysts and UX/UI Engineers.
  • Client Experience Management: Oversee the client experience, delivering high satisfaction and engagement.
  • Profitability Oversight: Manage the profitability of the accounts under your stewardship, ensuring financial success and growth.

The ideal client will have:

  • Demonstrable and extensive knowledge and experience in managing software development lifecycles within an Agile framework.
  • Proven track record in leading software development teams, and project delivery management.
  • Expertise in tools like JIRA,, and Azure and strong policy management skills, particularly in DevSecOps.
  • Experience in resource allocation and adherence to organisational policies.

Equal Opportunity Employer

At Aqovia, we believe in the strength of diversity. We strive to reflect the varied markets we serve and foster an inclusive culture where everyone feels welcome, valued, and empowered to be their authentic selves. As an equal opportunity employer, we are committed to embracing all forms of diversity across our organisation.


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.