Engineering Manager

viso.ai
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

On Machine Learning Engineering Manager

Machine Learning Engineering Manager, Gen AI

Machine Learning Manager

Machine Learning Engineer (Manager)

Lead Data Scientist

Lead Data Scientist

We are looking for anEngineering Manager to provide handson technical leadership whilemanaging a diverse team of engineers. You will lead the developmentand scaling of our platform systems and processes to meet thegrowing demand for computer visionapplications.

Thisrole is ideal for a lead engineer or technical lead who has managedteams overseen technical delivery and is ready to take the nextstep in their career. You will bring a strong technical backgroundin software engineering infrastructure or DevOps with the abilityto lead by example and guide a highperformanceteam.

Youwill have exposure to some or all of the followingareas:
Web application development
Cloud Platforms (AWS AzureGoogle Cloud)
CI/CD Pipelines
MachineLearning / Deep Learning
Computer Vision
Linux / Embedded OS(Yocto)

Location

Thisrole will be remote based in Belfast (UK).
Applicantsmust be legally authorized to work in the UnitedKingdom.


Responsibilities

Inthis role youll:

  • Reportdirectly to the CTO providing both technical leadership andmanagement for the engineeringteam.
  • Fosteran environment of continuous growth by providing feedback coachingand mentorship to help each team member reach theirpotential.
  • Playa critical role in design and implementation decisions tacklingcomplex challenges that drive platformscalability.
  • Overseebackend development (Node.js) with GraphQL APIs and frontenddevelopment (React) integrated with AWS cloud infrastructure andCI/CDpipelines.
  • Ensurehighquality software development adhering to architectureprinciples coding standards QA and projectspecifications.
  • Managesprint planning to ensure timely delivery of projects andmilestones.
  • Identifyand address technical debt and inefficiencies proposing andimplementingimprovements.
  • Leadthe adoption of automated testing continuous integration anddeployment processes to enhance development efficiency andquality.
  • Driveteam expansion through recruitment career development and buildingprofessional developmentpathways.
  • Shapeonboarding and mentorship programs to set engineers up for successenabling s development and career growthopportunities.

RequiredQualifications
  • Provenexperience leading and managing development teams in SaaS or AIpreferably in successful earlystage startupenvironments.
  • Indepthknowledge of the software development lifecycle including designdevelopment deployment andscaling.
  • Knowledgeof machine learning deep learning or computer vision technologiesand how they integrate into realworldapplications.
  • Strongbackground in designing and implementing Node.js applications andGraphQLAPIs.
  • Experiencewith frontend frameworks such asReact.
  • Solidunderstanding of Linux and embedded systems (e.g.Yocto).
  • Familiaritywith cloud platforms (AWS Azure GCP) and the ability to architectscalable cloudapplications.
  • Expertisein CI/CD pipelines and automated testingframeworks.
  • Apion for team development career progression and fostering aninclusive and positive engineeringculture.
  • Strongacademic background ideally in Computer Science Engineering orrelatedfield.

WhatWeOffer

Ourproduct Viso Suite is the only endtoend infrastructure for computervision. It empowers enterprises to implement AI vision solutionssignificantly faster and more effectively than everbefore.

viso.aiis backed by the most successful investors who previously backedFacebook Slack Atlian DropBox UiPath Celonis Segment and many more.There are many benefits to working at viso.ai including in additionto competitive pay being part of a small and agile fastgrowingcompany.
  • Opportunityto work in a fastpaced innovativeenvironment.
  • Competitivecompensationpackage.
  • PrivateMedical Insurance (including optical anddental)
  • Flexibleworking hours and remote workoptions.
  • Professionaldevelopment and career growthopportunities.
Joinus in driving growth and shaping one of the most exciting AIindustries.

We look forward to hearing fromyou!







We are seeking an Engineering Manager to provide hands-onleadership and manage a diverse engineering team. Ideal for a leadengineer or technical lead ready to step into a management role,you ll bring expertise in software engineering, infrastructure, orDevOps, and the ability to lead by example. Areas of expertise: Webapplication development Cloud platforms (AWS, Azure, GCP) CI/CDpipelines Machine learning/deep learning Computer visionLinux/Embedded OS(Yocto)

Education

Weare seeking an Engineering Manager to provide hands-on leadershipand manage a diverse engineering team. Ideal for a lead engineer ortechnical lead ready to step into a management role, you ll bringexpertise in software engineering, infrastructure, or DevOps, andthe ability to lead by example. Areas of expertise: Web applicationdevelopment Cloud platforms (AWS, Azure, GCP) CI/CD pipelinesMachine learning/deep learning Computer vision Linux/Embedded OS(Yocto)

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.