At a Glance
- Tasks: Design and implement cutting-edge AI solutions for diverse customer needs.
- Company: Established Managed Service Provider with a focus on innovative AI capabilities.
- Benefits: Salary up to £85,000, hybrid working, and career progression opportunities.
- Other info: Immediate start available; work with the latest AI technologies.
- Why this job: Join a dynamic team and shape the future of AI in a growing environment.
- Qualifications: Experience in AI development, cloud platforms, and strong problem-solving skills.
The predicted salary is between 65250 - 79750 £ per year.
Location: Woking, Surrey
Salary: Up to 85,000 depending on experience
The Opportunity
We’re working with an established and growing Managed Service Provider that is looking to bring an experienced AI Engineer into the business to help shape and deliver its AI capabilities. This is an exciting opportunity for someone who understands not just AI development, but how to implement practical AI solutions within a managed service environment and deliver genuine value to customers. You’ll work closely with technical and commercial teams to identify opportunities for AI adoption, design and implement solutions, and help customers make effective use of emerging technologies.
Key Responsibilities
- Design, develop and implement AI solutions for customers and internal business requirements
- Identify opportunities where AI, automation and machine learning can improve business processes
- Integrate AI technologies into existing IT environments and managed service solutions
- Work with Microsoft and cloud-based AI technologies, APIs and automation platforms
- Develop and deploy AI-powered tools, workflows and applications
- Support the implementation of Generative AI and Large Language Model (LLM) solutions
- Work with customers to understand their requirements and translate them into practical AI solutions
- Ensure AI implementations are secure, scalable and aligned with business objectives
- Troubleshoot and optimise AI solutions once deployed
- Keep up to date with emerging AI technologies and identify opportunities to introduce them into the wider service offering
- Provide technical guidance and knowledge sharing to colleagues across the business
About You
We’re looking for an experienced AI professional who is comfortable working in a customer-facing Managed Service Provider environment. Ideally, you’ll have:
- Proven experience working as an AI Engineer, AI Consultant, Machine Learning Engineer or similar
- Practical experience implementing AI solutions within an MSP or managed service environment
- Strong understanding of Generative AI, LLMs and AI automation
- Experience working with cloud platforms, APIs and AI services
- Knowledge of Microsoft technologies and the wider Microsoft ecosystem
- Experience integrating AI into existing systems and business processes
- Strong understanding of security, data protection and responsible AI implementation
- Excellent problem-solving and communication skills
- The ability to explain complex AI concepts to both technical and non-technical audiences
- A commercially minded approach, with an understanding of how AI can solve real-world customer problems
Desirable Experience
Experience with some of the following would be advantageous:
- Microsoft Azure / Azure AI
- Microsoft Copilot / Copilot Studio
- Azure OpenAI
- OpenAI APIs
- Python
- PowerShell
- Power Automate
- Machine Learning
- RAG (Retrieval-Augmented Generation)
- AI agents and automation
- API integrations
- Microsoft 365
- Cybersecurity and AI governance
What's on Offer?
- Salary up to 85,000
- Hybrid working available for the right candidate
- Opportunity to play a key role in developing an MSP's AI offering
- Work across a variety of customer environments and projects
- Significant autonomy and ownership
- Opportunity to work with some of the latest AI technologies
- Career progression as the AI function continues to grow
The client is looking to fill this opportunity immediately, so please apply ASAP or feel free to drop me an email with any questions.
AI Engineer in Guildford employer: SER
Join a dynamic and growing company that values its employees and invests in their development. As a Project Commissioning Engineer, you'll enjoy a supportive work culture with opportunities for career progression, competitive salary, and generous travel allowances. With exposure to high-profile national projects and a commitment to ongoing training, this role offers a rewarding path for those looking to advance in the Fire & Security industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Guildford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SER or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to SER.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like SER.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like SER that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer in Guildford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SER.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SER and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SER
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SER uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
