Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Technical Director (Digital Twins)

RSK Group
7 months ago
Applications closed

Related Jobs

View all jobs

England Women's Recruitment Data Analyst - 2 Year FTC

England Women's Recruitment Data Analyst - 2 Year FTC

England Women's Recruitment Data Analyst - 2 Year FTC

Senior Director, AI and Machine Learning– Evinova

Director Data Engineering

Global Director of Software and Data Engineering, Enterprise Data Office

Technical Director (Digital Twins) 

Location: UK - Site / Office / Home working 

Contract Type: Permanent

BinniesanRSK Groupcompany is looking for aTechnical Director(Digital Twins) to join our Digital Products and Services team within our Asset Management Department. 

As a Consulting Director (Digital Twins), you will be the technical authority on Digital Twins within Binnies. 

Primarily working in the water industry, you’ll be the trusted advisor clients turn to for shaping digital twin strategies and detailed designs for major infrastructure projects, including water treatment plants, reservoirs, and wastewater works. Known for your calm confidence and ability to ask the right questions, you’ll inspire trust and build lasting relationships, ensuring clients return to you for their most critical digital twin projects.

Reporting directly to the Director of Digital Products & Services (DPS), you will lead the Digital Services arm, focused on delivering high-impact Digital Twin consultancy projects. Collaborating with the Digital Products arm—who are pioneering AI innovations like Scientific Machine Learning in the water industry for the first time—you’ll help clients realise their Digital Twin ambitions, with a desire to be seen as a recognised industry authority on the subject.

Initially, your focus will be delivering existing Digital Twin consultancy projects as Project Director in the UK and potentially Singapore. Over time, you’ll expand this work by growing existing relationships and identifying new opportunities, potentially by leveraging your own network. Combining deep expertise with a credible, composed presence, you’ll guide clients through transformative digital twin initiatives that redefine infrastructure management and deliver maximum client satisfaction.

This senior role requires proven experience in the Digital Twin space within asset-intensive industries. While knowledge of the water industry is advantageous, your digital twin expertise and ability to build lasting client trust are the key skills we are looking for. As you deliver this work and help the Director of DPS to achieve ambitious growth targets, you’ll have the opportunity to build and lead a team of consultants, cementing Binnies’ leadership in Digital Twin and AI solutions.

Key Duties and Responsibilities

In this role, here are some of the activities you could expect to be involved in over the coming years:

  • Facilitating Workshops:Leading ‘Problem Identification’ and ‘User Needs’ workshops for clients embarking on their digital twin journey, such as those developing a new reservoir.
  • Design Integration:Collaborating with client teams building new wastewater treatment works to ensure their designs incorporate Digital Twin requirements.
  • Strategic Updates:Reviewing and updating clients’ existing Digital Twin strategies to reflect the latest industry trends, technological advancements, and internal client initiatives.
  • Detailed Design Development:Taking initial Digital Twin concepts for a wastewater treatment plant and advancing them through Detailed Design.
  • Technology Horizon Scanning:Conducting market scans to identify, assess, and validate Digital Twin solutions already available.
  • Vendor Procurement:Assisting international water companies with vendor assessment, selection, and procurement of Digital Twin solutions.

Key Relationships

The Consulting Director (Digital Twins) will support the Director of Digital Products & Services in executing the new Digital strategy. This will require you working alongside the Technical Director (Digital) who oversees the Digital Products arm of the team.

Required Competences

  • Proven expertise in Digital Twin technologies within asset-intensive industries.
  • Strong ability to lead workshops on problem identification and user needs.
  • Effective collaboration skills with client teams and internal technical groups.
  • High Emotional Intelligence (EQ) to build trust and maintain long-term client relationships.
  • Strong strategic thinking and capability to update and refine client Digital Twin strategies.
  • Proficiency in detailed design development and integration of Digital Twin requirements into infrastructure projects.
  • Exceptional communication skills, both written and verbal, for clear articulation of technical concepts.
  • Problem-solving mindset with the ability to think creatively about solutions.
  • Resilience and curiosity to adapt and drive continuous improvement.

Essential Requirements 

Education and Training - 

  • Extensive domain expertise and experience in the Digital Twin space is valued over specific degrees and qualifications.
  • Proven experience in the Digital Twin space within asset-intensive industries.

- Skills

  • Excellent written and verbal communication skills
  • Proven Problem-solving capabilities 

- Personal Attributes 

  • Self-motivated & self-starter who initiates projects
  • Resilient & curious nature
  • Attention to detail
  • Good EQ
  • Domain expert
  • Good work ethic & cadence of delivery
  • Can grow as the team grows
  • Takes ownership
  • Puts their hands up and admits when they don’t know
  • Is always thinking ‘is there a better way of doing that?’

Desirable Requirements 

  • Water industry experience preferred but not essential.
  • Broad awareness of water and wastewater challenges.

Why join us

Would you like to work in a business where you feel empowered to grow?  Where there is no place for criticism or discrimination?  A place where people are mindful and respectful? If so, then Binnies is the place for you.

We have a strong ‘ENGAGED’ culture that runs through everything we do. Evolved over 100 years, we have a culture of caring, where our employee’s wellbeing and work-life balance are priorities, in fact we have industry leading flexible and hybrid working arrangements. We pride ourselves on providing an inclusive working environment, where a diverse workforce is supported to grow and develop.
The successful applicant will go from being great alone to truly amazing with Binnies.



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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.