Senior AI Solutions Lead - Sustainability & Infrastructure

Senior AI Solutions Lead - Sustainability & Infrastructure

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI-driven projects tackling sustainability challenges in tech, media, and telecom sectors.
  • Company: Join Deloitte's innovative AI for Sustainability team making a real-world impact.
  • Benefits: Flexible hybrid working, comprehensive onboarding, and tailored development pathways.
  • Other info: Collaborative environment with opportunities for mentorship and career advancement.
  • Why this job: Shape the future of AI while promoting sustainable growth and resilience.
  • Qualifications: Masters or PhD in relevant fields with extensive AI/ML experience.

The predicted salary is between 80000 - 100000 £ per year.

Connect to your Industry

Deloitte's AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data offering area and is purpose built to help our clients lead and win through the transition to a low carbon, digitally enabled, prosperous, equitable and resilient economy. We take work across four core domains:

  • Energy Transition
  • Resilient Infrastructure
  • Sustainable and Resilient Supply Chains & Products
  • Digital and AI-enabled Reporting, Compliance, and Decision-Making

We work across all industry verticals. We bring deep technical and transformation expertise and point it at sustainability related problems. Working within our business allows you to empower clients with cutting edge technology assets and alliances including AI and Data foundations, Geospatial Analytics and Digital Twin Modelling, Sustainability infused ERP, Supply Chain Traceability and AI enabled reporting and performance management.

Connect to your opportunity

We are seeking a Senior AI Engineer who is passionate about tackling some of the most dynamic and exciting challenges within the Technology, Media, and Telecoms (TMT) sectors. If you have a proven track record in developing and deploying AI-driven solutions, and you are ready to lead high-impact projects at the intersections of technology, data, energy, sustainability and infrastructure we encourage you to apply. We offer comprehensive onboarding, ongoing mentoring, and a tailored development pathway to support your continued growth.

You will solve our clients' most challenging business problems by applying Generative AI, Agentic AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions. You will also play a key role in architecting responsible, efficient and sustainable AI solutions leveraging, developing and employing frameworks to back up these design principles in your solutions.

In this role, you may be expected to:

  • Engage directly with senior client stakeholders across TMT clients to shape, define, and deliver transformative AI and Generative AI strategies aligned with business goals.
  • Lead the design, development, and implementation of advanced AI pipelines, encompassing data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale.
  • Oversee the development and operationalisation of state-of-the-art AI models, including large language models (LLMs), diffusion models, and other generative techniques, ensuring scalability, efficiency, and robustness.
  • Stay at the forefront of AI research, including in relation to model efficiency and sustainability, actively evaluating emerging technologies and integrating relevant advancements into client solutions and internal frameworks.
  • Mentor and guide cross-functional teams, promoting knowledge sharing, reusable assets, and best practices to drive delivery excellence and sustainable growth in the TMT landscape.

Connect to your skills and professional experience

EDUCATION & EXPERIENCE

  • Masters, PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline preferred.
  • Outstanding candidates with strong quantitative, computer science, or engineering backgrounds in a related field will also be considered.
  • Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions, including experience managing technical teams and stakeholder relationships.
  • Proven experience working directly within the Technology, Media, or Telecoms sectors.
  • Domain expertise in applying AI and Generative AI within industry.
  • Demonstrated track record of thought leadership in AI/ML, evidenced by patents, publications, or open-source contributions.
  • Relevant industry certifications (AWS/Google/Azure/IBM ML or equivalent Certifications) and deep understanding of technical courses highly desirable.

TECHNICAL PROFICIENCY

  • Demonstrated success leading the end-to-end development and deployment of complex, production-grade AI/ML and Generative AI solutions; evidence of real-world impact highly desirable.
  • Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries strongly preferred.
  • Background in Traditional ML/AI.
  • Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases, and generative architectures; related security practices and evaluation procedures.
  • Hands-on experience designing and implementing evaluation frameworks, security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.
  • Experience across one or more major cloud platforms (AWS, Azure, GCP) with Generative AI services.
  • Grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.
  • Proficiency with data processing and storage technologies (e.g., SQL, Spark).
  • Strong stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.

SUSTAINABLE BUSINESS

Passion and curiosity to tackle some of industry and society's most significant challenges. Passion to deliver sustainable and resilient growth. Knowledge or experience in solving energy, infrastructure, supply chain or sustainability problems a plus.

Our hybrid working policy

You’ll be based in London with hybrid working. At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing.

Senior AI Solutions Lead - Sustainability & Infrastructure employer: Hm Revenue & Customs (Hmrc)

Deloitte is an exceptional employer, offering a dynamic work culture that prioritises innovation and sustainability within the Technology, Media, and Telecoms sectors. With a strong commitment to employee growth through comprehensive onboarding, ongoing mentoring, and tailored development pathways, you will have the opportunity to lead impactful AI projects while enjoying the flexibility of a hybrid working policy in London. Join us to be part of a team that empowers clients with cutting-edge technology and fosters a collaborative environment for meaningful contributions to a low carbon economy.

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Contact Details:

Hm Revenue & Customs (Hmrc) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Solutions Lead - Sustainability & Infrastructure

Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend events, webinars, or even local meetups related to AI and sustainability. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those that align with sustainability. This could be anything from GitHub repositories to case studies. When you apply through our website, include links to your work to stand out!

Tip Number 3

Prepare for interviews by diving deep into the company’s values and recent projects. Be ready to discuss how your experience aligns with their mission in sustainability and AI. We want to see your passion and how you can contribute to their goals!

Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way. Mention something specific from your conversation to remind them of your fit for the role. And remember, applying through our website gives you a direct line to opportunities!

We think you need these skills to ace Senior AI Solutions Lead - Sustainability & Infrastructure

AI/ML Solution Development
Generative AI
Python
PyTorch
TensorFlow
Large Language Models (LLMs)
Prompt Engineering

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Solutions Lead. Highlight your experience in AI and sustainability, and don’t forget to showcase any relevant projects or achievements that align with the job description.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and sustainability. Share specific examples of how you've tackled similar challenges in the past and how you can bring value to our team.

Showcase Your Technical Skills:Since this role requires deep technical expertise, make sure to list your proficiency in Python, AI frameworks, and any relevant certifications. We want to see your hands-on experience with AI/ML solutions clearly laid out.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!

How to prepare for a job interview at Hm Revenue & Customs (Hmrc)

Know Your AI Stuff

Make sure you brush up on the latest trends in AI, especially around Generative AI and ML techniques. Be ready to discuss your experience with specific frameworks like PyTorch or TensorFlow, and how you've applied them in real-world scenarios.

Showcase Your Leadership Skills

Since this role involves mentoring and guiding teams, prepare examples of how you've led projects or teams in the past. Highlight your ability to manage stakeholder relationships and drive delivery excellence in complex environments.

Understand Sustainability Challenges

Familiarise yourself with current sustainability issues within the Technology, Media, and Telecoms sectors. Be prepared to discuss how AI can address these challenges and share any relevant experiences you've had in this area.

Prepare for Technical Questions

Expect in-depth technical questions about AI model development, deployment, and evaluation. Brush up on your knowledge of LLMs, prompt engineering, and MLOps principles, as well as security best practices for AI systems.