At a Glance
- Tasks: Design and build scalable AI data pipelines and cloud-native backend systems.
- Company: Join a leading global organisation in innovative AI and Data Science.
- Benefits: Enjoy a competitive salary, excellent benefits, and hybrid work flexibility.
- Other info: Collaborative culture with great career progression and technical leadership opportunities.
- Why this job: Make an impact with cutting-edge AI technologies and mentor future engineers.
- Qualifications: 5+ years in AI, strong Python skills, and experience with cloud solutions.
The predicted salary is between 65000 - 75000 £ per year.
Requirements
- Degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline.
- 5+ years of 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 Fast API, 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.
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.
Technologies
- AI
- AWS
- Azure
- Backend
- CI/CD
- Cloud
- Django
- Docker
- Fast API
- Flask
- Support
- Kubernetes
- Machine Learning
- MLOps
- Model Serving
- Python
- SQL
- microservices
- Git
- Py Torch
More
We are a leading global organisation with a growing AI and Data Science function, developing innovative AI, Machine Learning and Natural Language Processing solutions that power intelligent products used by customers around the world.
This is a permanent Senior AI Engineer opportunity based in London on a hybrid basis, with one day per week in the office.
We offer a salary of £65,000 - £75,000, an excellent benefits package, a modern cloud-native technology stack, and the opportunity to work in a collaborative engineering culture with career progression and technical leadership opportunities.
- last updated 36 week of 2026
- #J-18808-Ljbffr
Senior AI Engineer - London employer: Infused Solutions Ltd
Join a pioneering technology company in London that is at the forefront of AI innovation, offering a dynamic hybrid work environment and a competitive salary package. With a strong emphasis on employee growth, you will have the opportunity to lead cutting-edge projects while collaborating with a high-calibre engineering team. Enjoy excellent benefits, including equity options and generous annual leave, all while contributing to products that are shaping the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - 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 Infused Solutions Ltd 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 Infused Solutions Ltd.
✨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 Infused Solutions Ltd.
✨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 Infused Solutions Ltd 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 - 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 Infused Solutions Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Infused Solutions Ltd 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 Infused Solutions Ltd
✨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 Infused Solutions Ltd 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.
