AI Evangelist - Inside IR35 - Hybrid

City of London

3 months ago

Applications closed

Related Jobs

View all jobs

AI Engineer

AI Software Engineer- Start up

AI Engineer- Insurance Experience- 6 month contract

AI Research Analyst (R&D)

AI Data Trainer (Mechanical Eng) — Remote Contract

AI Digital Twin Engineer - Mechanical Systems Optimisation

AI Evangelist - Inside IR35 - Hybrid

Role Overview

The Senior AI Evangelist plays a pivotal hands-on role in shaping and driving the responsible adoption of Artificial Intelligence across the organization. This position bridges the gap between cutting-edge AI technologies and real-world financial business needs, influencing both strategy and execution. The role requires deep technical expertise, exceptional communication skills, and a passion for translating AI innovation into meaningful business impact across investment banking, trading, insurance, and broader financial ecosystems.

Key Responsibilities - Evangelism & Strategy

Solution Innovation: Build and demonstrate AI-powered solutions tailored to financial applications, including use cases in investment banking, trading, and insurance.

AI Storytelling: Translate complex AI concepts into clear, actionable business value for both technical and non-technical stakeholders, including executive leadership.

Education & Enablement: Lead workshops, seminars, and training sessions to improve AI literacy and upskill teams across banking, investment, or insurance environments.

Executive Advisory: Provide advisory-level guidance to CxOs, Heads of Engineering, and Heads of Architecture on AI strategy, enterprise architecture, and emerging technology trends.

Industry Influence: Represent the organization at conferences, webinars, and industry forums to position the firm as a leader in responsible AI adoption in finance.

Regulatory Alignment: Collaborate with compliance, risk, and IT teams to ensure AI solutions adhere to stringent financial-sector regulatory, ethical, and governance standards.

AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML).

Key Technical & Design Responsibilities

Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems and generative code workflows using LLMs, automation agents, and code generation tools within secure production environments.

Technical Leadership: Oversee solution design, implementation, and code reviews-particularly for code created or augmented by AI-to ensure security, scalability, and maintainability across Python and other languages.

AI Reliability & Governance: Develop and maintain rigorous testing/validation frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks.

Cross-Functional Collaboration: Work closely with DevOps, Security, Product, and Business teams to drive rapid, safe integration of agentic and generative AI features into enterprise systems.

Essential Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related field.

Experience with high-level programming languages such as C++, Java, or C#.

Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development.

Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows.

To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed).

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 10, 2026

Careers

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Edge Computing Job Applications (UK Guide)

In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line. This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.

Jan 23, 2026

Education

The Skills Gap in Edge Computing Jobs: What Universities Aren’t Teaching

Edge computing is rapidly moving from niche concept to critical infrastructure. As organisations deploy connected devices, sensors, autonomous systems and real-time analytics, processing data closer to where it is generated has become essential. From smart cities and manufacturing to healthcare, transport, defence and telecommunications, edge computing underpins systems where latency, reliability and resilience matter. Demand for edge computing skills across the UK is rising steadily — yet employers consistently report difficulty finding candidates who are genuinely job-ready. Despite growing interest and academic coverage, universities are not fully preparing graduates for real edge computing jobs. This article explores the edge computing skills gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build sustainable careers in edge computing.