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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 to grow within a dynamic enterprise environment.
- Why this job: Be at the forefront of AI innovation and make a real impact in a growing field.
- Qualifications: Strong software engineering background with experience in AI and GCP.
£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
- 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 Fairfield 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 Fairfield
✨Network Like a Pro
Get out there and connect with folks in the AI and Machine Learning space! Attend meetups, webinars, or even just chat with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving GCP and AI solutions. This will give potential employers a taste of your hands-on experience and problem-solving skills.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and GCP knowledge. Practice common AI and Machine Learning questions, and be ready to discuss your past projects in detail. Confidence is key, so don’t forget to showcase your passion for AI!
✨Apply Through Us!
We’ve got your back! Make sure to apply through our website for the best chance at landing that Senior AI Engineer role. We’re all about connecting talented individuals like you with amazing opportunities in the AI field.
We think you need these skills to ace Senior AI Engineer - GCP / Machine Learning / AI Agents in Fairfield
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 candidates who can connect their skills to our mission, so be specific!
Showcase Your Technical Skills: When applying, make sure to mention your hands-on experience with Python and any AI frameworks you've worked with. We’re keen on seeing how you’ve deployed ML solutions in production, so give us the details!
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 this exciting opportunity. Plus, it’s super easy!
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 projects where you've designed and developed AI-enabled applications. Be ready to explain your thought process and how you tackled challenges, particularly in a production environment.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, think of examples where you’ve successfully collaborated with different teams. Highlight your communication skills and how you’ve managed expectations or gathered requirements from non-technical stakeholders.
✨Mentorship Matters
If you have mentoring experience, be sure to mention it! Talk about how you’ve supported other engineers and contributed to their growth. This shows you’re not just a tech whiz but also a team player who values knowledge sharing.