Interim Head of Contracts and Commercial

London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Minerva - Contract - SC Clearance

Procurement Data Analyst (Contracts)

Contract Principal Data Analyst - Hybrid - Reading

Data Engineer - Contract - 9+ Months

Are you a Contracts and Procurement pro?

If that sounds like something you want to jump at, please read on:

HEAD OF CONTRACTS & COMMERCIAL

  • You will be working with a Council in London that needs someone to lead the Contracts and Commercial function to support the delivery of the organisation's investment, repairs and compliance programmes investing in existing homes to a value of circa £50m – £60m per annum.

  • You will be working for a London Council for a rate of £600 – £650 per day (Inside IR35) - This is a minimum 6 month contract that will be extended if everyone is happy.

  • They are looking for someone to start in late September or in October.

    HEAD OF CONTRACTS & COMMERCIAL ROLE:

  • Managing a team of 4 - x 2 Commercial & Procurement Managers, an Apprentice Quantity Surveyor and a Senior Data Analyst.

  • You'll be working strategically to create a procurement strategy and commercial management framework

  • Leading both internal and external teams on developing Capital Works, Compliance Works and services contracts - from feasibility study to commencement of construction.

  • Including scoping and appraising potential schemes, development of feasibility studies/business cases through to procurement of delivery partners and private sector development partners, liaison with internal and external stakeholders and reporting to Project and Programme Boards, Members and senior management.

  • Attending relevant boards on progress and performance of all service area contracts

    Budget Management

  • Managing an annual budget of approx. £50M (Capital Investment budget to Housing stock)

  • Revenue budget for Housing stock of 12M

  • Grant funding on specific schemes (e.g. energy grants)

  • Staff budget

    HEAD OF CONTRACTS & COMMERCIAL ESSENTIALS:

  • Extensive contract and procurement experience

  • Clear understanding of performance management and data analysis

  • Leadership experience

  • Experience of managing change in a complex organisation. Recognise and actively contribute to the stewardship of the culture of the organisation

    HOW DO I APPLY?:

    If this is of interest to you, or you know someone who might be a good fit - click apply and enter your details with your updated CV.

    We would like to attract talent from all corners of the Property world for this role. Our commitment is to an equitable recruitment process so feel free to apply in any way that suits you, via WhatsApp, video message, CV, the more creative the better

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 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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.