At a Glance
- Tasks: Prototype AI agents and automations for real users in a fast-paced environment.
- Company: Join a leading global financial technology firm with an innovative culture.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and opportunities for professional growth.
- Other info: Fast-moving team with high autonomy and excellent career advancement potential.
- Why this job: Make a real impact by building cutting-edge AI solutions that drive efficiency.
- Qualifications: Experience in AI solutions and strong problem-solving skills are essential.
The predicted salary is between 80100 - 97900 £ per year.
AI Innovation Specialist 6-MONTH CONTRACT | LONDON, HYBRID
A build-first role inside a two-person innovation team sitting within a large, global financial technology business.
You'll prototype AI agents and automations that go straight in front of real users in Commercial and Operations teams, then hand proven pilots to delivery teams to scale.
High autonomy, light-touch direction, fast pace.
What you'll do
Build agents and automations across Microsoft, AWS, Salesforce and Snowflake.
Prototype LLM use cases on AWS Bedrock and other platforms, writing and refining prompts, agent instructions and evaluation criteria.
Run structured pilots with real users, measuring baseline, result and delta, and reporting outcomes transparently.
Iterate fast on feedback and flag early when something isn't working.
Query and prepare data for pilots, integrating prototypes with downstream platforms.
Produce build guides, prompt documentation and integration requirements.
Train frontline users on new tools through simple guides and short sessions.
Scout automation platforms and agent frameworks outside the core stack, benchmarking capability, cost and integration effort against the incumbent.
What you'll bring
Demonstrated experience building AI-enabled solutions, prototypes, agents or automations, not just AI-aware, hands-on.
Ability to rapidly prototype, test and iterate on modern AI platforms.
Solid understanding of LLM strengths, limitations and risks.
Comfortable gathering requirements, demonstrating solutions and acting on feedback quickly.
Basic commercial awareness (revenue, cost, risk) and can explain results to non-technical audiences.
Structured, analytical problem solver who translates ambiguous challenges into practical AI and automation opportunities.
Independent, resourceful and comfortable with limited direction in a fast-moving environment.
Background in a technology company, consulting firm or similarly high-pace environment preferred.
Nice to have
Salesforce ecosystem, AI agent frameworks, AI coding tools, data platforms or the AWS ecosystem.
ML fundamentals, understands features in, predictions out, and can support model-adjacent pilots such as churn.
Experience training or supporting non-technical users on new tools.
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AI Innovation Specialist (Automation Engineer) in Slough employer: Xcede
Join a leading broadcasting client as a Security Architect and be part of a dynamic team driving significant cyber transformation. With a hybrid working model that promotes work-life balance, you will have the opportunity to collaborate with talented professionals while enjoying a supportive culture that prioritises employee growth and development. This role not only offers competitive compensation but also the chance to make a meaningful impact in a forward-thinking organisation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Innovation Specialist (Automation Engineer) in Slough
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Xcede before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Xcede.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Xcede.
We think you need these skills to ace AI Innovation Specialist (Automation Engineer) in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Xcede, 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 Xcede, 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 Xcede’s attention and show the tangible impact of your work.
How to prepare for a job interview at Xcede
✨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 Xcede.
✨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 Xcede.
✨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 Xcede.
