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- Tasks: Shape high-value AI use cases and deliver hands-on projects with cutting-edge technology.
- Company: Join a forward-thinking company leading the AI revolution.
- Benefits: Competitive pay, potential for contract extensions, and a dynamic work environment.
- Why this job: Be at the forefront of AI innovation and make a real impact in the industry.
- Qualifications: Experience with LLMs, data readiness, and regulated delivery is essential.
- Other info: Contract roles based in Leeds or Bradford with excellent growth opportunities.
The predicted salary is between 45000 - 75000 £ per year.
We are building out an AI Foundry capability and have four senior contract hires landing:
- AI Design Analyst: shaping high value AI and Copilot use cases, mapping workflows, prompts and human in the loop models, embedding responsible AI and ISO42001 from design.
- AI Product Lead: owning the roadmap, value hypothesis, MVP definition and commercial case across Data and AI initiatives.
- AI Test Lead: defining AI specific test strategy across LLMs, prompt behaviour, guardrails, bias, traceability and risk controls in regulated environments.
- AI Specialist: hands on delivery across Azure AI, Copilot, Power Platform, prompt engineering and orchestration.
These are contract roles, 3 to 6 months initially with extensions likely, based out of Leeds or Bradford. Strong exposure to LLMs, data readiness, feasibility assessment and regulated delivery is key.
AI Engineer in Leeds employer: Gazelle Global Consulting Ltd
Contact Detail:
Gazelle Global Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, especially those involving LLMs and prompt engineering. We want to see your hands-on experience, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and responsible AI practices. We recommend practising common interview questions and scenarios specific to AI roles to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs, data readiness, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our AI Foundry capability. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects: If you've worked on any projects related to AI, especially in regulated environments, make sure to mention them. We’re keen to see your hands-on experience with Azure AI, Copilot, and prompt engineering.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Gazelle Global Consulting Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially LLMs and Azure AI. Be ready to discuss specific projects you've worked on that relate to AI design, product management, or testing strategies.
✨Understand the Role
Familiarise yourself with the responsibilities of the AI Engineer position. Think about how your skills align with the tasks mentioned in the job description, like mapping workflows or defining test strategies, and be prepared to share relevant examples.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled challenges in previous roles, particularly in regulated environments. Highlight your experience with risk controls and bias mitigation, as these are crucial for the role.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI initiatives and their approach to responsible AI. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.