Parking Enforcement Officer

TMP LB Hackney
London
2 years ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Manufacturing Engineering Data Scientist

Machine Learning Engineer

Computer Vision and Artificial Intelligence Engineer

Computer Vision and Artificial Intelligence Engineer

Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw

Region: London

Job Number: HCAA01693

DBS Required: No

Agreement Type: Permanent

Work Pattern: Full Time

Contracted Hours: 36

Grade: SO1

SCP Range: £35,223 - £36,417

 

Hackney is one of Britain’s most exciting and fastest-changing boroughs. We have changed the reputation, not just of the Council, but of Hackney itself. The challenges that have arisen over the last few years have intensified the need for action and we are determined to rebuild Hackney for, and with, our diverse communities.

Hackney Parking Services are often leading the way in the parking industry with the main focus on best practices and performance. Hackney Council has managed to be the number one borough in Penalty Charge Notice (PCN) appeals for two years running. Hackney was one of the first Councils in the country to implement School Streets and Ultra Low Emission Zones - all of which are enforced by the parking enforcement team.

Recently, the Council has brought in-house the parking enforcement operations after over two decades of the service being outsourced. An amazing opportunity has arisen to recruit into brand new positions that will be pivotal in creation, delivery and implementation of the newly insourced parking enforcement service.

In this challenging and rewarding role, you will have the necessary communication and networking skills to work directly with residents and key partnering services. Your “can do” ethos, unparalleled organisational skills, problem solving abilities and exceptional skills in dealing with conflict will empower you to manage a varied caseload, and collaborate with others to address support needs and achieve positive outcomes. You will have demonstrable experience of working in an agile context and the ability to work routinely from different locations across Hackney, outdoors in all weather, to best meet the needs of the communities that we serve.

Day to day you will undertake detailed investigations: visiting sites, inspecting vehicles, gathering evidence and preparing statements and attending court. You will also support the service in tackling all types of nuisance vehicles and make referrals for the relevant departments of any other linked anti-social behaviour. As this role will require regular attendance to Court it is desirable that the successful candidate has a working knowledge of nuisance vehicle legislation and other relevant law, however, training on the job will be provided.

We need someone with experience or knowledge and understanding of dealing with anti-social behaviour or nuisance vehicles, early intervention and the necessary tools and powers, preferably within a public sector background. To thrive in this role, you will be required to work in partnership with the Met Police and other enforcement agencies. You should be a confident communicator, able to handle sensitive issues and be ready to deal with aggressive people.

As you will be required to work on multiple cases at once you must be able to prioritise your own workload, identify and mitigate risk and ensure performance targets are met. Experience of using electronic case management systems and a variety of other software is advantageous.

This post will require an SIA Door Supervisor certification.

You will be required to successfully pass security vetting through DBS checks level to be considered for this post

There is no better place to work in London than Hackney; we have great pride in our borough, our communities, and our services. Hackney is one of London’s most vibrant and diverse boroughs. It’s one of the most sought after areas to live in London with good schools, parks and local amenities, as well as great transport links and vibrant and diverse communities.

If you want to work in a place where you can represent our values so we achieve the best for our residents, please click on the apply button below.

The recruitment process is anonymous. Therefore, we do not accept supporting statements or CVs.

When applying, there will be a number of questions relating to the post on the application form. It is essential that you complete the application questions, responding to each using examples of your skills, knowledge and experience.

We will not accept applications where Artificial Intelligence (AI) has been used to assist with completing the competency questions or any part of the application form.

This application process replaces a supporting statement.

We are also working towards our vision, which is to be a place for everyone; where residents and staff can be proud; a place that celebrates diversity and where everyone can feel valued, included and involved. In order to achieve this, we look for people who are: Proud; Ambitious; Pioneering; Open; Proactive; Inclusive.

Hackney Council works to eradicate discrimination on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, gender, and sexual orientation. We also recognise that people can be disadvantaged by their social and economic circumstances, so we will also work to eliminate discrimination and disadvantage caused by social class. We also welcome those interested in flexible working. We particularly welcome applications from disabled people, as this group is currently under represented in our workforce.

The Council has a dedicated employment support service (Hackney Works), which offers Hackney residents guidance in relation to applying for jobs. If you are thinking about applying for a job, please contact the Hackney Works team to find out what support is available:

 

Closing date for applications: 19 November 2023 22.59


Additional information:Frequency:Per yearRemote Job:Fully in-personEmployment type:Full-time

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.