At a Glance
- Tasks: Design and build scalable AI systems and data pipelines in a collaborative environment.
- Company: Join a leading global organisation focused on innovative AI solutions.
- Benefits: Competitive salary, hybrid work, and excellent benefits package.
- Other info: Opportunity for career progression in a dynamic AI function.
- Why this job: Make a global impact with cutting-edge AI and mentor the next generation of engineers.
- Qualifications: 5+ years in AI, strong Python skills, and experience with cloud-native solutions.
The predicted salary is between 65000 - 75000 £ per year.
Location: London (Hybrid - 1 day per week in the office)
Salary: £65,000 - £75,000 + Excellent Benefits
Job Type: Permanent
Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position.
The Opportunity
An exciting opportunity has arisen for an experienced Senior AI Engineer to join a growing AI and Data Science function within a leading global organisation. This team is responsible for developing innovative AI, Machine Learning and Natural Language Processing (NLP) solutions that power intelligent products used by customers around the world. Working within a collaborative, cross-functional engineering environment, you'll play a key role in designing scalable AI platforms, productionising machine learning models and building cloud-native services that deliver real business value. This is an excellent opportunity for someone who enjoys solving complex technical challenges while mentoring others and influencing engineering best practices.
The Role
Reporting to the AI Engineering Manager, you'll take ownership of the architecture, design and delivery of complex AI services and data pipelines. Working closely with Data Scientists and Software Engineers, you'll help transform research and machine learning models into reliable, scalable production systems. You'll have the autonomy to make key technical decisions while helping define engineering standards across the wider team.
Key Responsibilities
- Design, build and maintain scalable AI data pipelines and processing workflows.
- Develop cloud-native backend systems and scalable microservices.
- Partner closely with Data Scientists to productionise Machine Learning, NLP and Generative AI models.
- Build and optimise RESTful APIs for AI model serving.
- Monitor system reliability, model performance and observability across production environments.
- Drive best practices across CI/CD, automated testing, Infrastructure as Code and MLOps.
- Improve system integration and interoperability across enterprise platforms.
- Support internal and external consumers of AI services and APIs.
- Translate evolving business requirements into scalable engineering solutions.
- Mentor junior engineers and provide technical leadership within the team.
- Contribute to architectural decisions and influence engineering standards.
Skills & Experience
We're looking for someone with a strong software engineering background and commercial experience building AI-powered systems. You'll ideally have:
- Degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline.
- 5+ years' commercial experience in Backend Engineering, Data Engineering or Machine Learning Engineering.
- Expert-level Python development skills.
- Commercial experience with Machine Learning, NLP or AI platforms.
- Experience productionising machine learning models at scale.
- Strong experience designing RESTful APIs and microservices using frameworks such as FastAPI, Flask or Django.
- Experience working with SQL and relational databases, including performance optimisation.
- Experience designing cloud-native solutions within AWS and/or Azure.
- Strong understanding of distributed systems and scalable architectures.
- Experience with Docker, Kubernetes and containerised deployments.
- Knowledge of CI/CD pipelines, automated testing and Infrastructure as Code.
- Excellent communication and stakeholder management skills.
- A passion for mentoring and developing other engineers.
Technology Stack
- Python
- SQL
- FastAPI
- PyTorch
- Docker
- Kubernetes
- AWS
- Azure
- Git
- CI/CD
- Knowledge Graphs
- Large Language Models (LLMs)
- Amazon Bedrock
- Azure AI Foundry
- Machine Learning
- Natural Language Processing (NLP)
What's on Offer
- Salary of £65,000 - £75,000
- Hybrid working - 1 day per week in the London office
- Permanent opportunity
- Work on cutting-edge AI, Machine Learning and NLP projects
- Collaborative engineering culture with opportunities for technical leadership
- Career progression within a growing AI function
- Modern cloud-native technology stack
- Excellent benefits package
If you're passionate about building production-grade AI systems and want to work on innovative Machine Learning and NLP solutions that have a global impact, we'd love to hear from you.
Senior AI Engineer - Perm - London employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - Perm - London
✨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 All The Top Bananas 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 All The Top Bananas.
✨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 All The Top Bananas.
✨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 All The Top Bananas 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 - Perm - London
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 All The Top Bananas.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at All The Top Bananas 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 All The Top Bananas
✨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 All The Top Bananas 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.
