At a Glance
- Tasks: Build AI applications and automation solutions while integrating cutting-edge technologies.
- Company: Major UK financial services organisation investing in AI and digital capabilities.
- Benefits: £600 per day, outside IR35, flexible contract with potential for growth.
- Other info: Collaborative environment with opportunities to work on innovative projects.
- Why this job: Join a forward-thinking team and shape the future of AI in finance.
- Qualifications: Experience in AI engineering, Python, and cloud technologies required.
£600 per day | Outside IR35 | 6 Month Contract
We're supporting a major UK financial services organisation that is investing heavily in AI, automation and next-generation digital capabilities. They are looking for an experienced AI Platform Engineer to help accelerate the adoption of enterprise AI solutions, build reusable capabilities, and deliver production-ready AI and automation services across the business.
This is a hands-on engineering role where you'll work closely with business stakeholders, architects, security teams and technology partners to transform AI opportunities into scalable solutions while maintaining strong governance and operational standards.
The Role
You will:
- Build and enhance AI-powered applications and automation solutions.
- Integrate and operationalise Large Language Models including GPT, Claude and Gemini.
- Develop AI agents, workflow automation and Retrieval-Augmented Generation (RAG) solutions.
- Design and develop integrations using REST APIs, GraphQL, OAuth 2.0 and JWT authentication.
- Build and support Azure-hosted workloads and Kubernetes-based services.
- Develop Python services and integrations.
- Implement Infrastructure as Code using Terraform.
- Establish and maintain CI/CD pipelines and GitHub Actions workflows.
- Embed security controls and governance into the development lifecycle.
- Help define engineer...
AI Platform Engineer employer: Hays
Join a well-established infrastructure contractor that prioritises employee growth and collaboration in a forward-thinking environment. With a strong pipeline of projects in the utilities sector, this role offers not only competitive pay but also the flexibility of remote work and the potential for long-term job security. You'll be part of a dedicated team where your expertise will directly contribute to significant water infrastructure programmes, ensuring a meaningful and rewarding career path.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace AI Platform Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hays, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Hays, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Hays’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hays
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Hays.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Hays.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Hays.
