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 fine-tuning, deploying and evaluating large-scale production systems.
- 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 Manager - AI Solutions Engineer, TMT, AI for Sustainability & Infrastructure, AI & Data 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 tackle some of the most pressing challenges in the industry and contribute to a low carbon, digitally enabled economy.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - AI Solutions Engineer, TMT, AI for Sustainability & Infrastructure, AI & Data
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Deloitte. A friendly chat can open doors and give you insider info on what they're looking for.
✨Tip Number 2
Prepare for interviews by diving deep into AI and sustainability topics. Be ready to discuss how your skills can tackle real-world challenges in the TMT sectors. Show them you're not just a techie, but a problem solver!
✨Tip Number 3
Practice your pitch! You want to clearly communicate your experience and how it aligns with their mission. Keep it concise and impactful—think of it as your personal brand statement.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and making a difference in sustainability.
We think you need these skills to ace Senior Manager - AI Solutions Engineer, TMT, AI for Sustainability & Infrastructure, AI & Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Manager - AI Solutions Engineer. Highlight your experience in AI and sustainability, and don’t forget to mention any relevant projects that showcase your skills in the TMT sectors.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI for Sustainability and how your background makes you the perfect fit for this role. Be genuine and let your personality come through!
Showcase Your Achievements:When detailing your experience, focus on specific achievements rather than just responsibilities. Use metrics where possible to demonstrate the impact of your work, especially in developing and deploying AI solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
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 in relation to sustainability and infrastructure. Be ready to discuss your experience with generative AI and machine learning frameworks like TensorFlow or PyTorch, as well as any projects you've led that showcase your expertise.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead teams and manage stakeholder relationships. Prepare examples of how you've successfully guided cross-functional teams in the past, and be ready to discuss your approach to mentoring others in the field.
✨Understand the Business Context
Familiarise yourself with Deloitte's focus on sustainability and the TMT sectors. Think about how your technical skills can align with their business goals and be prepared to share insights on how AI can drive transformation in these areas.
✨Ask Thoughtful Questions
Interviews are a two-way street! Prepare some insightful questions about Deloitte's AI strategies and how they tackle challenges in sustainability. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.