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- Tasks: Join us to design and deploy cutting-edge AI and automation tools in the gas industry.
- Company: Be part of a pivotal organisation transforming the UK gas market with innovative data services.
- Benefits: Enjoy hybrid working, a salary up to £45,000, and perks like 28 days' holiday and private medical insurance.
- Why this job: Make a real impact with AI while collaborating in a dynamic, inclusive team focused on innovation.
- Qualifications: A degree in Computer Science or equivalent experience in AI/ML solutions is essential.
- Other info: We embrace neurodiversity and offer adjustments during the interview process for all candidates.
The predicted salary is between 32400 - 54000 £ per year.
Do you want to join a high-impact transformation programme and shape the future of AI at the heart of the UK gas industry. Are you passionate about automation and machine learning? This one\’s for you.
About the company
This organisation plays a critical role in the UK gas market, acting as the Central Data Service Provider and overseeing the delivery of essential data services. While operating in a regulated environment, the team embraces a start-up mindset, using data and automation to solve complex industry challenges.
What you\’ll be doing
This is a hands-on engineering role with strategic potential. You\’ll work on cutting-edge AI/ML solutions and help the business realise tangible, data-driven outcomes. You\’ll:
- Design, build and deploy AI and automation tools across the business
- Partner with architecture teams to embed AI in core services
- Develop data mining techniques for structured and unstructured data
- Drive innovation and identify emerging use cases for AI/ML
- Translate technical concepts for stakeholders across varying levels of digital maturity
- Champion ethical AI practices and ensure responsible development
You\’ll also play a key role in major transformation projects, shaping the way AI supports operations across the energy landscape.
What we\’re looking for
We\’d love to see:
- A degree in Computer Science, AI, Machine Learning, or equivalent practical experience
- Experience developing and deploying AI/ML solutions
- Familiarity with AWS, Azure or GCP
- Understanding of APIs, data pipelines, and automation tools
- Awareness of AI governance and ethical frameworks
But above all, we want someone curious, collaborative, and keen to shape how AI is embedded into a future-focused organisation.
What\’s in it for you?
Alongside a salary of up to £45,000 and a discretionary 10% bonus and hybrid working, you\’ll benefit from:
- Pension contribution up to 12%
- 28 days\’ holiday + bank holidays + the ability to buy more
- Private medical insurance for you and your family (Bupa)
- Income protection & life assurance
- Health cashback plan (Medicash) + 24/7 virtual GP and wellbeing support
- Electric vehicle salary sacrifice scheme
- Enhanced family-friendly policies
- Annual professional membership paid for
- Ongoing training, development and clear career pathways
- A collaborative, inclusive team with a strong innovation mindset
What\’s next?
If you\’re looking to make a real difference with AI, working on large-scale projects with long-term impact, we\’d love to hear from you.
We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age.
We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters. #J-18808-Ljbffr
AI and Automation Engineer employer: Big Red Recruitment
Contact Detail:
Big Red Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI and Automation Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and automation, especially within the energy sector. This will not only help you understand the challenges the company faces but also allow you to discuss relevant solutions during your interview.
✨Tip Number 2
Network with professionals in the AI and automation field, particularly those who have experience in the gas industry. Attend industry events or webinars to make connections that could provide insights or even referrals for the role.
✨Tip Number 3
Prepare to discuss specific AI/ML projects you've worked on, focusing on the impact they had on the business. Be ready to explain your thought process and how you approached problem-solving in those scenarios.
✨Tip Number 4
Showcase your understanding of ethical AI practices by being prepared to discuss how you would ensure responsible development in your projects. This is crucial for a role that involves shaping AI's future in a regulated environment.
We think you need these skills to ace AI and Automation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and automation. Focus on specific projects where you've developed or deployed AI/ML solutions, and mention any familiarity with AWS, Azure, or GCP.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and automation. Discuss how your skills align with the company's goals and mention your understanding of ethical AI practices, as this is crucial for the role.
Showcase Your Technical Skills: Be specific about your technical skills related to data mining techniques, APIs, and automation tools. Provide examples of how you've used these skills in previous roles to drive innovation.
Demonstrate Curiosity and Collaboration: In your application, highlight instances where you've worked collaboratively on projects. Show your curiosity by mentioning any emerging AI/ML use cases you are excited about and how you can contribute to the company's transformation programme.
How to prepare for a job interview at Big Red Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI and machine learning solutions. Bring examples of projects you've worked on, particularly those involving AWS, Azure, or GCP, and be ready to explain the technical details in a way that non-technical stakeholders can understand.
✨Demonstrate Your Curiosity
This role values curiosity and innovation. During the interview, express your enthusiasm for exploring new technologies and methodologies in AI. Share any recent trends or emerging use cases you've researched and how they could apply to the gas industry.
✨Emphasise Collaboration
Highlight your ability to work collaboratively with different teams, especially architecture and data teams. Provide examples of how you've successfully partnered with others to embed AI into existing services or solve complex problems.
✨Discuss Ethical AI Practices
Given the importance of ethical AI in this role, be prepared to discuss your understanding of AI governance and ethical frameworks. Share your thoughts on responsible AI development and how you would champion these practices within the organisation.
