At a Glance
- Tasks: Design and develop AI solutions that transform business processes and enhance productivity.
- Company: Join a forward-thinking organisation leading in AI and digital transformation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Be at the forefront of AI innovation and make a real-world impact.
- Qualifications: Strong Python skills and experience in AI or automation applications.
The predicted salary is between 70000 - 100000 £ per year.
Job Overview
Role: AI Automation Engineer Location: London or Birmingham - Hybrid Working Salary: £70,000 - £100,000 Type: Permanent
Build AI solutions that drive real‑world change.
I am partnering with a large, forward‑thinking organisation investing heavily in Artificial Intelligence, automation, and digital transformation.
As part of a growing technology team, you'll play a key role in designing and building intelligent solutions that streamline operations, enhance productivity, and solve complex business challenges.
This is an opportunity to work on cutting‑edge AI initiatives that are rapidly moving from concept to production, delivering measurable impact across the organisation.
This role offers the chance to work on enterprise‑scale AI projects, collaborate with talented technical professionals, and build solutions that are used by thousands of colleagues.
Opportunity
I'm looking for an experienced AI Automation Engineer to help develop and deploy intelligent automation capabilities across a broad range of business processes.
You'll combine software engineering principles with AI technologies to build scalable, secure, and maintainable solutions.
Working closely with technical specialists and business stakeholders, you'll help shape how AI is adopted and embedded across the organisation.
Key Responsibilities
- Design, develop, and deploy AI‑powered agents and automated workflows.
- Build Python‑based applications, services, and automation solutions.
- Create integrations between AI platforms and enterprise systems.
- Develop scalable APIs, reusable services, and automation frameworks.
- Build and maintain workflows using modern AI and automation technologies.
- Support cloud‑based deployments and application lifecycle management.
- Contribute to CI/CD pipelines, testing frameworks, and engineering best practices.
- Monitor, optimise, and enhance production solutions.
- Collaborate with stakeholders to translate requirements into technical solutions.
- Participate in architecture discussions, technical reviews, and continuous improvement initiatives.
About You
You will bring
- Strong Python development experience.
- Experience developing production‑grade software solutions.
- Experience building AI, LLM, automation, or agent‑based applications.
- Knowledge of AI orchestration, workflow automation, and modern integration patterns.
- Experience working with APIs and enterprise system integrations.
- Cloud platform experience, ideally within Azure or similar environments.
- Understanding of containerisation and modern deployment practices.
- Experience working with CI/CD pipelines and agile delivery methodologies.
- Strong problem‑solving and analytical skills.
- Excellent communication and stakeholder engagement abilities.
- A proactive mindset with a passion for learning and continuous improvement.
- #J-18808-Ljbffr
AI Automation Engineer in Birmingham employer: Digital Waffle
Digital Waffle is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the energy sector. Employees benefit from ongoing professional development opportunities, competitive compensation, and a commitment to sustainability, making it a rewarding place to contribute to the UK's critical infrastructure. Join us to be part of a team that values your expertise and empowers you to make a meaningful impact on the future of energy security.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer in Birmingham
✨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 Digital Waffle 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 Digital Waffle.
✨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 Digital Waffle.
✨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 Digital Waffle 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 Automation Engineer in Birmingham
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 Digital Waffle.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Digital Waffle 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 Digital Waffle
✨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 Digital Waffle 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.
