At a Glance
- Tasks: Lead the AI lifecycle from experimentation to deployment and optimisation.
- Company: Join a forward-thinking company with strong investment in AI technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by shaping AI products that matter.
- Qualifications: Expertise in Python, data engineering, and production-level AI applications.
The predicted salary is between 63000 - 77000 £ per year.
What you'll be doing
You'll work across the full AI lifecycle from experimentation and data engineering through to deployment, monitoring and optimisation.
- Build and deploy production-grade AI applications using
- LLMs, RAG and modern AI architectures
- Develop agentic workflows, vector search, embeddings and semantic search
- Build scalable data pipelines using
- Databricks, Python, Py Spark and SQL
- Develop evaluation and benchmarking frameworks to measure AI performance
- Take AI solutions from
- POC → production
- Implement monitoring, observability and quality controls
- Establish best practices across
- MLOps, CI/CD, model versioning and reproducibility
- Work directly with product, engineering and business stakeholders
- Influence architecture and the wider AI roadmap
- Mentor engineers and help raise technical standards across the team
- What they're looking for
Essential
- Strong commercial experience as a
- Senior AI Engineer, ML Engineer or AI-focused Data Engineer
- Expert-level
- Python
- Strong data engineering + SQL skills
- Production experience with
- Databricks
- Hands-on experience building
- LLM-powered applications
- Strong understanding of
- RAG, vector databases, embeddings and semantic search
- Experience taking AI systems into production and improving them post-deployment
- Experience with
- Azure , ideally Azure Open AI and related AI services
- Strong software engineering fundamentals - testing, Git, CI/CD and scalable system design
- Experience leading projects and working directly with senior stakeholders
Why this role?
This isn't a role where you'll spend 12 months building another AI demo that nobody uses.
The foundations are already there data, infrastructure, investment and executive backing.
You'll have the opportunity to take ownership of genuinely important AI products, influence architecture and help shape how AI is embedded across an entire professional services business.
Senior AI Engineer in Guildford employer: Albert Bow
Join a dynamic and innovative technology company that thrives on delivering impactful solutions in the financial services and RegTech sectors. With a strong focus on employee development, we offer extensive growth opportunities, a collaborative work culture, and the flexibility of remote/hybrid working arrangements. Our commitment to excellence ensures that you will be part of a team that values your contributions and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Albert Bow 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 Albert Bow.
✨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 Albert Bow.
✨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 Albert Bow 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 Senior 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 Albert Bow.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Albert Bow 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 Albert Bow
✨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 Albert Bow 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.
