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- Tasks: Lead the development of innovative AI solutions and shape the future of smart energy.
- Company: Join a forward-thinking organisation dedicated to transforming the energy sector sustainably.
- Benefits: Enjoy competitive salary, generous holiday, health benefits, and a supportive work environment.
- Why this job: Make a real impact on the future of energy while advancing your AI engineering skills.
- Qualifications: Experience with AI platforms, Python, SQL, and strong stakeholder engagement skills.
- Other info: Remote work with excellent career growth opportunities in a dynamic field.
The predicted salary is between 60000 - 70000 £ per year.
All potential applicants are encouraged to scroll through and read the complete job description before applying.
Location: Remote
Salary: £60-70k + Bonus + Benefits
Job Type: Permanent
Sponsorship: Not Available
Choosing to work here means choosing to make a difference. The organisation is changing how businesses and consumers use energy for the better helping to achieve a greener, more sustainable, and more affordable energy system for everyone. Through a range of innovative energy solutions, it is delivering the future of smart energy and working closely with private and public sector partners to play a critical role in transforming and decarbonising the UK economy by 2050.
What's the role?
Step into a role where strategy meets engineering excellence. As a Lead AI Engineer, you will be the driving force behind turning bold business opportunities into production-ready AI solutions. You will shape intelligent agents, craft next-generation conversational experiences using modern AI tooling, and architect a semantic layer that ensures models deliver accurate, trusted insights every time. If you're ready to take ownership of an organisation's AI future and build the systems that make it real this role offers a genuine platform to do so.
Key Responsibilities:
- AI Solution Development & Agent Building
- Design, build, and deploy low-code and pro-code AI agents to automate business workflows (e.g. HR queries, IT support, operational data retrieval)
- Develop custom Retrieval-Augmented Generation (RAG) solutions to enable large language models to reason over proprietary documents and data
- Integrate AI agents with enterprise systems (e.g. CRM, collaboration tools, operational platforms) via APIs and automation connectors
- Own the creation and maintenance of AI semantic workspaces, translating complex database schemas into business-friendly models
- Define and govern standard metrics, dimensions, and synonyms to ensure AI systems "speak the language of the business"
- Continuously monitor AI answer quality, using human feedback to refine semantic models and improve accuracy over time
- Partner with business stakeholders across finance, operations, and commercial teams to translate high-level use cases into technical requirements
- Rapidly prototype AI solutions to demonstrate value and accelerate adoption
- Act as a technical evangelist, enabling non-technical users to interact effectively with AI tools and insights
- Implement monitoring frameworks to track cost, latency, and quality of AI outputs
- Ensure AI solutions comply with organisational data governance and security standards, including preventing data leakage via LLMs
- Manage the full lifecycle of AI models and agents from development through production and retirement
What We're Looking For?
- Strong hands-on experience with modern cloud data and AI platforms, including AI agent tooling, analytics platforms, and semantic layers
- Strong stakeholder engagement experience with the skill-set of being able to translate complex requirements to the board and senior team members
- Proven ability to design analytics-ready data models and metrics layers
- Practical experience with large language models LLM's, prompt engineering, and RAG architectures
- Proficiency in Python (data manipulation, API interaction) and SQL data modelling
- Experience working with REST APIs and integrating multiple business systems
- Ability to clearly explain complex AI concepts to non-technical stakeholders and translate feedback into production-quality solutions
What's in it for you?
- 25 personal holiday days per year (plus 8 public holidays), increasing to 30 days after 5 years of service (with buy/sell options)
- Enhanced maternity, paternity, and adoption leave
- 24/7 free and confidential employee assistance service
- Health benefits plan offering cashback on everyday healthcare (optical, dental, physio), discounted gym memberships, and free 24/7 online GP access
- Life insurance (4× annual salary)
- Pension matching scheme (up to 5% of salary)
Lead AI Engineer employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with current employees at the company. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by practising common questions and scenarios related to AI engineering. Think about how you can explain complex concepts in simple terms – it’s all about making that connection with your audience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Read the Job Description Thoroughly: Before you dive into your application, take a good look at the job description. It’s packed with info about what we’re looking for and can help you tailor your application to show us you’re the perfect fit!
Showcase Your Skills: When writing your application, make sure to highlight your hands-on experience with AI platforms and your ability to engage with stakeholders. We want to see how your skills align with our needs, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your experience and how it relates to the role. We appreciate clarity, especially when it comes to complex AI concepts!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us without any hiccups. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at 83zero Ltd
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning. Be ready to discuss your hands-on experience with cloud data platforms, AI agent tooling, and large language models. This role is all about turning bold ideas into reality, so show them you know your stuff!
✨Speak Their Language
Since you'll be translating complex requirements for stakeholders, practice explaining technical concepts in simple terms. Use examples from your past experiences to demonstrate how you've successfully communicated with non-technical teams. This will show that you can bridge the gap between tech and business.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about times when you developed AI solutions or integrated systems. Highlight your ability to prototype quickly and demonstrate value, as this is key for the Lead AI Engineer position.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI strategy, their current projects, and how they measure success. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
