—
Senior AI Engineer 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 • Annual bonus scheme • 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).
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| Model Deployment | llm_hard |
100%
|
| Large Language Models (LLMs) | llm_hard |
80%
|
| MLOps | llm_hard |
80%
|
| AWS (SageMaker, EC2, S3) | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Stakeholder Communication | llm_soft |
100%
|
| Mentoring | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Working Independently | llm_soft |
100%
|
| Problem-Solving | llm_soft |
80%
|
| Adaptability | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| AI developer in London, UK | gb | duplicate | 5152 | 2026-03-28 10:08 |
| AI engineer in London, UK | gb | duplicate | 11491 | 2026-03-28 10:08 |
| machine learning engineer in London, UK | gb | duplicate | 9358 | 2026-03-28 10:08 |
| Senior AI Engineer | extracted | 3993 | 2026-03-22 02:29 | |
| Senior AI Engineer | classified | 648 | 2026-03-21 21:01 | |
| junior deep learning engineer in London | gb | duplicate | 8628 | 2026-03-21 17:11 |
| junior deep learning engineer in United Kingdom | gb | duplicate | 13733 | 2026-03-21 17:11 |
| junior AI developer in London | gb | duplicate | 7475 | 2026-03-21 17:07 |
| junior AI developer in United Kingdom | gb | duplicate | 9585 | 2026-03-21 17:07 |
| junior AI engineer in London | gb | duplicate | 14347 | 2026-03-21 17:04 |
| junior AI engineer in United Kingdom | gb | duplicate | 21364 | 2026-03-21 17:04 |
| junior ML engineer in London | gb | duplicate | 10686 | 2026-03-21 17:01 |
| junior ML engineer in United Kingdom | gb | duplicate | 22049 | 2026-03-21 17:00 |
| junior machine learning engineer in London | gb | duplicate | 9822 | 2026-03-21 16:57 |
| junior machine learning engineer in United Kingdom | gb | processed | 9050 | 2026-03-21 16:57 |
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"job_description": "Senior AI Engineer\n\n2 days per month in the Reigate, Surrey office\n\nAbout the Company\n\nWe 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.\n\nYou 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.\n\nWhat You’ll Be Doing\n• Lead the delivery of AI initiatives from early discovery through to deployment and impact measurement\n• Work with operational and business stakeholders to identify high-value opportunities for generative AI and advanced analytics\n• Build, test, and deploy AI services within a cloud-native environment, ensuring solutions are scalable and secure\n• Collaborate closely with engineers, DevOps specialists, data teams, and security functions to embed AI into production systems\n• Contribute to shaping the broader AI roadmap and prioritisation of use cases\n• Provide technical mentorship to engineers within the team and help raise standards across AI delivery\n• Balance rapid experimentation with long-term maintainability and platform robustness\n\nWhat They’re Looking For\n• Demonstrated experience delivering AI or machine learning solutions into live commercial environments\n• Proven ability to take models from concept through to production with measurable business value\n• Strong Python skills and familiarity with modern ML and GenAI tooling\n• Experience working within cloud platforms, ideally AWS, including deployment and infrastructure considerations\n• Confidence communicating with stakeholders at different levels of the organisation\n• Ability to work independently, refine problem statements, and deliver high-quality outcomes within agreed timelines\n• A pragmatic mindset with the ability to prioritise effectively while contributing to long-term capability building\n\nWhat’s On Offer\n• Annual bonus scheme\n• Strong pension and insurance benefits\n• Generous holiday allowance with options to buy and sell days\n• Flexible working arrangements to support life commitments\n• Additional wellbeing, health, and financial perks\n\nIf 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).",
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