At a Glance
- Tasks: Integrate AI/ML models into enterprise systems and support innovative AI projects.
- Company: Global leader in consulting and technology services focused on digital transformation.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Work remotely with occasional visits to client sites in London and Hampshire.
- Why this job: Join a dedicated AI team and make a real impact on cutting-edge technology.
- Qualifications: Experience in AWS cloud environments and AI/ML integration is essential.
The predicted salary is between 60000 - 80000 € per year.
We are working with a client who is a global leader in consulting, technology services, and digital transformation, committed to delivering positive change through technology and human collaboration. They are supporting a major critical national infrastructure transformation programme which is establishing a new dedicated AI team. The programme aims to accelerate the adoption of advanced AI capabilities, including: Agentic AI frameworks, Large Language Models (LLMs), and AI-driven enhancements to existing enterprise systems.
These three new contracts will play a key part in integrating AI into production environments, ensuring safe, scalable, and governed deployment across the Software Delivery Life Cycle. The successful candidate will support the integration of AI/ML models into enterprise systems, working closely with architects, engineers, and data teams. This programme is focused on:
- Scaling AI capability across a complex enterprise landscape.
- Transitioning from proof-of-concept to production AI systems.
- Embedding AI into existing SDLC and operational workflows.
- Establishing governance for safe and controlled AI adoption.
You will support architects and lead engineers in integrating AI/ML models (including LLMs and agentic components) into enterprise systems. Prepare and manage model inputs/outputs, validation processes, and interaction patterns. Collaborate with data engineers to ensure data pipelines meet model requirements (quality, lineage, reliability). Execute structured model testing, performance evaluation, and safety/bias checks. Support prompt governance, including documentation of Prompt structures, Versioning, Constraints and evaluation criteria. Assist in managing AI-related risks, including Hallucination handling, Error recovery, High-risk decision boundaries.
To be considered for these contracts you must be able to demonstrate strong experience in AWS cloud environments with a background in application development within cloud migration programmes. You should have exposure to AI/ML integration within enterprise systems. Experience implementing ML monitoring frameworks (drift detection, model health, quality metrics). Exposure to DevOps integration of model artefacts into deployment pipelines. Ability to document model lifecycle, dependencies, and SDLC traceability. Understanding of AI governance and operational controls. Ability to translate AI outputs and constraints clearly to business stakeholders.
Please be clear that only candidates that meet the above criteria with the right to work, and that have been resident in the UK for the last 5 years or longer will be considered. No sponsorship is available. This role will allow for remote working here in the UK, but you must be able to attend key client sites in London and the Hampshire area when needed.
AWS AI Application Developer x3 in London employer: Hays Technology
As a global leader in consulting and technology services, this company offers an exceptional work environment that fosters innovation and collaboration. Employees benefit from a strong focus on professional development, with opportunities to engage in cutting-edge AI projects that are transforming national infrastructure. With a flexible remote working policy and the chance to work alongside industry experts in London and Hampshire, this role promises a rewarding career path in a dynamic and supportive culture.
StudySmarter Expert Advice🤫
We think this is how you could land AWS AI Application Developer x3 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with AI and AWS. Attend meetups or webinars, and don’t be shy about asking for informational interviews – you never know where a chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI/ML integration and AWS application development. This can really set you apart from the crowd and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to AI governance, model lifecycle management, and AWS environments. Practising your responses will help you feel more confident and ready to impress.
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace AWS AI Application Developer x3 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with AWS cloud environments and AI/ML integration. We want to see how your skills align with the job description, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background in application development fits into our client's vision. Keep it engaging and personal – we love to see your personality!
Showcase Your Achievements:When detailing your experience, focus on specific achievements related to AI/ML integration and cloud migration. We’re interested in metrics and outcomes, so if you’ve improved model performance or streamlined processes, let us know!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Hays Technology
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML integration, especially in AWS environments. Be ready to discuss specific projects where you've implemented AI models or worked with LLMs. This shows you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Collaboration Skills
Since this role involves working closely with architects, engineers, and data teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where teamwork led to successful project outcomes, especially in cloud migration or AI integration.
✨Demonstrate Your Problem-Solving Abilities
Expect questions about handling challenges like model drift or error recovery. Prepare to discuss specific instances where you've tackled these issues, detailing your thought process and the steps you took to ensure safe and effective AI deployment.
✨Understand Governance and Compliance
Familiarise yourself with AI governance and operational controls. Be ready to explain how you've documented model lifecycles and ensured compliance in previous roles. This will show that you understand the importance of safety and accountability in AI applications.
