At a Glance
- Tasks: Design and implement AI systems that enhance digital products and workflows.
- Company: Join Aventum Group, a leader in innovative AI solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and career growth opportunities.
- Other info: Be part of a supportive environment committed to diversity and inclusion.
- Why this job: Make a real impact by turning advanced AI models into scalable systems.
- Qualifications: Experience in AI model development and collaboration with engineering teams.
The predicted salary is between 65000 - 75000 £ per year.
As an AI Engineer, you will design, implement, and productionise behavioural learning systems that integrate directly into our digital products and workflows. Your focus will be on turning advanced behavioural, sequential, and causal AI models into reliable, scalable, and maintainable production systems that power Digital Twins, agentic decision engines, and intelligent automation across our digital suite. This role bridges model development and real‑world implementation. You will work hands‑on with software engineers, ML engineers, and product teams to ensure behavioural intelligence is embedded end‑to‑end from data pipelines and inference services through to live product decisioning and monitoring.
Key Responsibilities
- Design, implement, and deploy AI models that predict, optimise, or automate decision‑making within production digital workflows.
- Translate behavioural and sequential modelling approaches (e.g. sequence prediction, intent modelling, imitation learning) into robust, production‑ready systems.
- Build and maintain end‑to‑end AI pipelines, including data ingestion, feature engineering, model training, inference, and monitoring.
- Apply causal inference techniques to evaluate the real‑world impact of AI‑driven decisions and support data‑informed product changes.
- Integrate AI services into existing platforms via APIs, microservices, and event‑driven architectures in close collaboration with engineering teams.
- Partner with product and platform teams to ensure AI outputs are actionable, explainable, and aligned with business workflows.
- Support Digital Twin and agentic systems by implementing behavioural dynamics, state modelling, and decision‑process representations.
- Validate deployed models using offline replay, A/B testing, shadow deployments, and simulation frameworks.
- Ensure solutions meet production standards for scalability, reliability, security, and observability.
- Contribute to engineering best practices around testing, versioning, CI/CD, and model lifecycle management.
AI Engineer in London employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in 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 Allscreens Nationwide 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 Allscreens Nationwide 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 Allscreens Nationwide 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 Allscreens Nationwide 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 AI Engineer in 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 Allscreens Nationwide 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 Allscreens Nationwide 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 Allscreens Nationwide 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 Allscreens Nationwide 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.
