Technical Practice Lead

itelligent-i
Wolverhampton
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - AI Practice Team

Senior Data Scientist - AI Practice Team

Data Lead - Artificial Intelligence & Automation (12 Month Fixed-Term Contract)

Senior/Lead Data Scientist

Lead Machine Learning Engineer, Gen AI

Senior Data Scientist

Venn Group is excited to partner with itelligent-i to recruit the post of Technical Practice Lead. itelligent-i are seeking a highly competent technical innovator and leader who will enable their continued growth and success in delivering Data and Analytics, and Artificial Intelligence tools based on the Microsoft Azure Data Services platforms.



All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.

itelligent-i are an end-to-end Data Platform and Analytics specialist and a strategic business partner for councils, providing information, insight, and intelligence to empower better decision-making. Their expertise covers a range of services from Adults and Health to Transport and Highways, guiding resource allocation and offering informed insights for various council departments.


The Technical Practice Lead will be responsible for leading technical projects and resource, driving innovation, providing technical guidance and expertise, and collaborating with cross-functional teams to deliver successful outcomes.


With numerous data platforms, analytical and business application deployments, the Technical Practice Lead must be willing to be hands on in all areas: delivery and implementation of the itelligent-i Data & Analytics Platform, conduct technical platform reviews, manage and resolve support issues, and develop technical training products.


A key focus of the role will be to evolve the data engineering project approach (engagement, delivery, handover and support) and underlying technology of itelligent-i’s offering.


This is a full-time hybrid role based in Staffordshire, with a requirement for travelling to customer sites and some home based working.


Employment type:Permanent

Salary:£90k per annum + business performance bonus

Office Location:Eccleshall, Staffordshire


Hiring Process:

  • Introductory Teams meeting with Venn Group, to discuss your experience and the role
  • 1st Stage: 1-on-1 with the CEO
  • 2nd Stage: Technical Test: implementation of tool in a test environment
  • 3rd Stage: Q&A with CEO and colleagues


Qualifications

  • Experience in leading technical projects, driving innovation, and providing technical guidance
  • Experience of software development SDLC in agile deployments
  • Expertise in data platforms and solutions
  • Strong communication and leadership skills
  • Ability to work collaboratively in a cross-functional team environment


To be considered for this position and for further information on this and other roles please apply and reach out to the Venn Group Local Government division in our London office.

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.