At a Glance
- Tasks: Lead AI initiatives from discovery to deployment, enhancing decision-making and customer outcomes.
- Company: Established UK financial services firm expanding its AI capabilities.
- Benefits: Strong pension, generous holiday, flexible working, and wellbeing perks.
- Other info: Opportunity for career growth and technical mentorship within a dynamic team.
- Why this job: Make a real impact with AI in a supportive, innovative environment.
- Qualifications: Experience in AI solutions, strong Python skills, and cloud platform familiarity.
The predicted salary is between 48000 - 72000 £ per year.
2 days per month in the Reigate, Surrey office
About the Company
We are partnering with a well-established UK financial services organisation that is significantly expanding its applied AI capability. With multiple live AI solutions already supporting frontline teams, the business is investing in the next wave of intelligent tools that improve decision-making, streamline processes, and enhance customer outcomes. You will join a growing AI function operating within a modern cloud ecosystem. This is an opportunity to work on meaningful, business-critical initiatives where AI is already delivering value and has strong executive backing for further scale.
What You’ll Be Doing
- Lead the delivery of AI initiatives from early discovery through to deployment and impact measurement
- Work with operational and business stakeholders to identify high-value opportunities for generative AI and advanced analytics
- Build, test, and deploy AI services within a cloud-native environment, ensuring solutions are scalable and secure
- Collaborate closely with engineers, DevOps specialists, data teams, and security functions to embed AI into production systems
- Contribute to shaping the broader AI roadmap and prioritisation of use cases
- Provide technical mentorship to engineers within the team and help raise standards across AI delivery
- Balance rapid experimentation with long‑term maintainability and platform robustness
What They’re Looking For
- Demonstrated experience delivering AI or machine learning solutions into live commercial environments
- Proven ability to take models from concept through to production with measurable business value
- Strong Python skills and familiarity with modern ML and GenAI tooling
- Experience working within cloud platforms, ideally AWS, including deployment and infrastructure considerations
- Confidence communicating with stakeholders at different levels of the organisation
- Ability to work independently, refine problem statements, and deliver high-quality outcomes within agreed timelines
- A pragmatic mindset with the ability to prioritise effectively while contributing to long‑term capability building
What’s On Offer
- Strong pension and insurance benefits
- Generous holiday allowance with options to buy and sell days
- Flexible working arrangements to support life commitments
- Additional wellbeing, health, and financial perks
If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Senior AI Engineer in Reigate employer: Xcede
Join a forward-thinking financial services organisation in Reigate, Surrey, where your expertise as a Senior AI Engineer will directly contribute to impactful AI initiatives that enhance decision-making and customer outcomes. With a strong commitment to employee growth, flexible working arrangements, and a supportive work culture, this company offers a unique opportunity to be at the forefront of AI innovation while enjoying generous benefits and a collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in Reigate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to deliver measurable business value. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with modern ML and GenAI tools. Practice coding challenges and be ready to discuss your thought process and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to exciting AI initiatives.
We think you need these skills to ace Senior AI Engineer in Reigate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior AI Engineer. Highlight your experience with AI and machine learning solutions, especially in live commercial environments. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of AI initiatives you've led or contributed to. Detail the impact these projects had on decision-making or process improvement. This helps us understand your hands-on experience and the value you can bring to our team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see why you're a great fit for the role.
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 get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Xcede
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those that delivered measurable business value. This will show that you can take models from concept to production, which is key for this role.
✨Showcase Your Python Skills
Since strong Python skills are a must, be prepared to talk about your experience with Python in detail. You might even want to bring examples of code or projects you've completed using Python and modern ML tools. This will demonstrate your technical prowess and familiarity with the necessary tooling.
✨Communicate Like a Pro
You’ll need to communicate effectively with stakeholders at various levels. Practice explaining complex AI concepts in simple terms. This will help you convey your ideas clearly and show that you can bridge the gap between technical and non-technical teams.
✨Be Ready to Collaborate
Collaboration is key in this role, so think of examples where you've worked closely with engineers, DevOps specialists, or data teams. Highlight how you contributed to embedding AI into production systems and how you balanced rapid experimentation with long-term maintainability.
