Job description
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 client’s 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.
- Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions, including experience managing technical teams and stakeholder relationships within the Technology, Media, or Telecoms sectors.
- 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 (e.g., Andrew Ng’s Coursera Courses, Andrei Karpathy’s Tutorials) 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 (LangChain, LangGraph or related open-source toolkits 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 (eg 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 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. Please check with your recruiter for the specific working requirements that may apply for your role.
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