AI/ML Engineer

• 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., Role: AI Evangelist (Hands-On) A senior technical and advocacy role focused on bridging advanced AI technologies with practical business needs in a financial organisation. The position combines hands-on development with stakeholder education and strategic influence. Core..., Job Description Data Engineer - AI Solutions 12-Month contract - Inside IR35 - up to £630 per day Heathrow based - hybrid working - 3 days a week on site - possible international travel in the later stages of the project Role Purpose The Data Engineer will design,..., Job Title: Information Security - (Data & AI team) Duration: Duration 4 months Contract Location: Hybrid - With infrequent site visit Daily Rate: Inside IR35 Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have..., Job Description Java & Spark Engineer 12 month contract Hybrid - London (3 days per week in the office) INSIDE IR35 AM Analytics offers a scalable, ML-ready platform for rapid portfolio model development and deployment. It combines data governance, Big Data, and..., Senior Data Engineer (Machine Learning) Term: 6 Months Pay: £800 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to..., Job Description UX Transformation Director Contract Initial 6-12 months Hybrid London Inside IR35 Start January 2026 We're supporting a major UK enterprise organisation undergoing a significant transformation of its colleague-facing digital experience. They're looking...

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., * 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.

Job Description Data Analyst - SQL - Tableau - Python - Customer Success - London - Hybrid - 9 Month Initial Contract - Hybrid Working - 3 Days per week in the office - Location - London - Day Rate - Up to £300 per day Inside IR35 This role is critical in addressing...