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- Tasks: Design and develop AI applications, build scalable solutions, and mentor fellow engineers.
- 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: Opportunity for significant growth as the AI function expands within a large-scale enterprise.
- Why this job: Shape the future of AI while working with cutting-edge technologies in a dynamic environment.
- Qualifications: Strong software engineering background with experience in AI and GCP.
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 are currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we are 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
- 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
- GCP / Vertex AI
- Gemini
- Python
- AI Agents / ADK
- Machine Learning Frameworks
- APIs & Microservices
- Docker / Kubernetes
- CI/CD pipelines
- LLM Orchestration Frameworks
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 in London employer: Mackenzie Jones IT
Contact Detail:
Mackenzie Jones IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - GCP / Machine Learning / AI Agents in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Machine Learning space. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving GCP and Machine Learning. 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 both technical and soft skills. Be ready to discuss your experience with AI frameworks and stakeholder engagement. Practice common interview questions and think about how you can demonstrate your leadership and mentoring abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Senior AI Engineer - GCP / Machine Learning / AI Agents in London
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 shaped your journey into AI, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your skills align with our needs. We love seeing genuine enthusiasm for AI and collaboration, so let that passion come through.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying ML solutions or developing AI applications, we want to know what you've done and how it relates to the role. Real-world examples can really make your application stand out.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Mackenzie Jones IT
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially GCP and Python. Brush up on your knowledge of AI frameworks and ML solutions, as you might be asked to discuss your hands-on experience with these tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and developed AI-enabled applications or services. Think about challenges you faced and how you overcame them, as this will demonstrate your ability to deliver scalable solutions.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, be ready to talk about your experience collaborating with different teams. Highlight any instances where you’ve successfully communicated complex technical concepts to non-technical stakeholders.
✨Mentorship Matters
If you have mentoring experience, don’t shy away from discussing it! Talk about how you’ve supported other engineers and contributed to their growth. This shows that you’re not just a tech whiz but also a team player who values collaboration.