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- Tasks: Design and develop AI-enabled applications and scalable ML solutions in a GCP environment.
- Company: Join a leading consumer-focused organisation investing heavily in AI and Machine Learning.
- Benefits: Competitive salary, bonus potential, flexible remote work, and excellent career progression.
- Other info: Mentorship opportunities and a dynamic environment for growth in AI capabilities.
- Why this job: Shape the future of AI while working on innovative projects with cutting-edge technology.
- Qualifications: Strong software engineering background with experience in AI and Machine Learning.
The predicted salary is between 75000 - 80000 £ per year.
£75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region
Must be Eligible to work in the UK - Cannot Provide Sponsorship
We're currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we're looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement.
Key Responsibilities:
- Design and develop AI-enabled Applications & Services
- Build scalable AI & Machine Learning solutions within a GCP environment
- Support the technical direction of AI Engineering initiatives
- Mentor and support other AI Engineers within the wider team
- Collaborate closely with Digital Products, AI & business stakeholders
- Support the development of AI Agents and intelligent automation capabilities
- Drive Engineering best practice across cloud-native AI delivery
- Contribute toward architecture, experimentation and proof-of-concept initiatives
Required Experience:
- Strong Software Engineering background (Python preferred)
- Commercial AI / Machine Learning Engineering experience
- Hands-on Google Cloud Platform (GCP) experience
- Experience deploying ML / AI solutions into production environments
- Understanding of modern AI frameworks & LLM ecosystems
- Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable
- Strong stakeholder engagement and communication capability
- Previous mentoring or technical leadership experience advantageous
Desirable Technologies:
- GCP / Vertex AI
- Gemini
- Python
- AI Agents / ADK
- Machine Learning Frameworks
- APIs & Microservices
- Docker / Kubernetes
- CI/CD pipelines
- LLM Orchestration Frameworks
Additional Information:
- Bonus potential up to c.15%
- Opportunity to join a growing AI capability within a large-scale Enterprise environment
- Excellent long-term progression potential as the AI function expands
Senior AI Engineer - GCP / Machine Learning / AI Agents employer: Mackenzie Jones
Contact Detail:
Mackenzie Jones Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - GCP / Machine Learning / AI Agents
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Machine Learning space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving GCP and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with AI Agents and stakeholder engagement. Practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Senior AI Engineer - GCP / Machine Learning / AI Agents
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and Machine Learning, especially with GCP. We want to see how your software engineering background has evolved into AI engineering, so don’t hold back on those relevant projects!
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 team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Technical Skills: When detailing your experience, be specific about the technologies you've worked with, like Python, Docker, or Kubernetes. We’re keen to know how you’ve applied these skills in real-world scenarios, especially in deploying ML solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our growing AI capability. Don’t miss out!
How to prepare for a job interview at Mackenzie Jones
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially GCP, Python, and AI frameworks. Brush up on your hands-on experience with deploying ML solutions and be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Stakeholder Skills
Since this role involves a lot of collaboration, prepare examples that highlight your communication and stakeholder engagement abilities. Think about times when you’ve successfully worked with different teams or mentored others, as these experiences will resonate well.
✨Prepare for Technical Questions
Expect technical questions that dive deep into AI and Machine Learning concepts. Be ready to explain your thought process behind designing scalable AI solutions and how you approach problem-solving in a cloud environment. Practising coding challenges can also help!
✨Demonstrate Your Passion for AI
Let your enthusiasm for AI and Machine Learning shine through. Discuss any personal projects, ongoing learning, or industry trends that excite you. This not only shows your commitment but also helps you connect with the interviewers on a personal level.