NLPG/LLPG CUSTODIAN

Deekay Technical Recruitment
Brentwood, United Kingdom
2 weeks ago
Applications closed
Posted
18 Apr 2026 (2 weeks ago)

Good Evening

We are recruiting for Brentwood BC for a NLPG/LLPG Custodian,working in a Hybrid Manner,1-2 days per week

DURATION 3 MONTHS PLUS

LOCATION CM15 8AY

RATE £200-£225 PER DAY INSIDE IR35

JOB SPEC BELOW

NLPG/LLPG CUSTODIAN

Job description/additional information for the role:

Ensure that the gazetteer is maintained to the national standards BS7666:2006 and that data entry is following the Data Entry Conventions DEC-NLPG v3.2 Dec 2011 & GeoPlace

Maintain the entry of new and amended data into the LLPG/LSG, sending daily updates to the hub

Resolve data discrepancies issued by the national hub on a monthly schedule 4. Process candidate data from the hub

Maintain addressing and property intelligence into the LLPG for inclusion into the national hub

Resolve internal discrepancies with property descriptions and addressing

Resolve and include any update information from the VOA through monthly comparison information from the hub

Send update addressing data to the Electoral Register on a daily basis under the CORE directive from the MOJ

Liaise with outside agencies when addressing information is required for corporate projects Working Hours - 5 days a week (37 hrs) 8.30am – 5.00pm – Mon-Thur 8.30 – 4.30pm - Fri Working Pattern - Full time

Hybrid (1-2 days in the office per week if possible - open to discussion)

If interested in this post please send your latest cv

Many Thanks

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.