1,500 Artificial Intelligence jobs in the United Kingdom

About the Company

EC Markets is a leading investment and trading services provider, offering clients access to global financial markets through innovative technology and a commitment to regulatory excellence. We specialise in delivering trading solutions across a diverse range of asset classes, including equities, forex, commodities, and derivatives, with a strong focus on transparency, integrity, and client success.

With a client-first approach, we are dedicated to creating a secure and supportive trading environment that meets the highest regulatory standards. Our culture is built on collaboration, accountability, and continuous improvement, ensuring that both our clients and employees benefit from our forward-thinking approach to financial services.

About the Role

We are looking for a talented and enthusiastic AI Developer (Python) to join a growing team of experienced technologists and finance professionals and build a best-in-class trading/investment platform, with opportunities for technical ownership from day one. Please note that this role is office-based (Finsbury Square, Monday to Friday).

Responsibilities

• Build and maintain services that support AI agent interaction.
• Implement APIs, contracts, and metadata aligned with the Model Context Protocol.
• Develop internal tooling that supports AI-native workflows.
• Establish best practices for prompt engineering, model fine-tuning, and evaluation.
• Stay current with developments in AI/ML and apply relevant research to product needs.
• Participate in design reviews, code reviews, and incident response.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent.

Required Skills

• Software development experience with proven expertise in at least one programming language (Python / Java / Typescript) with experience building APIs and integrating backend systems.
• Solid Machine Learning fundamentals.
• Model Context Protocol for managing context and tool interfaces for agents.
• LLM integration patterns, including prompt orchestration and tool calling.
• Retrieval-Augmented Generation (RAG) for dynamic context injection.
• Understanding of user-centric design for AI interfaces and intelligent automation.
• Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.).

Preferred Skills

• Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration.
• Self-motivated with a strong growth mindset.

Pay range and compensation package

• Competitive salary and performance-based bonus.
• Opportunities for professional growth and career advancement.
• Contribution pension scheme.
• A collaborative and innovative work environment.

Role Purpose & Projects

This is a hybrid role where you'd be required in the Glasgow office 2 days per week. 1 day per week may be considered for candidates in outlying areas.

This team is responsible for designing and delivering AI-enabled software solutions that enhance workflows and improve efficiency across the business. Projects include:

• Building AI applications and internal tooling
• Automating workflows and documentation (e.g. technical content, training manuals)
• Integrating AI agents into applications
• Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google)
• Tools and solutions for Sales, Marketing, and Engineering functions

This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation .

Skills & Experience

Essential:

• 5–6 years’ experience as a software engineer in an enterprise setting
• Strong C# / .NET development background
• Experience with Azure (hosting, deploying, Azure Functions)
• Experience building CI/CD pipelines
• Frontend experience with React

Preferred:

• Exposure to tools like GitHub Copilot
• Knowledge of AI orchestration frameworks (Semantic Kernel, LangChain, LangGraph )
• Experience integrating LLMs (OpenAI, Perplexity, Google APIs)
• Demonstrated personal AI projects or a strong motivation to upskill in AI

Candidate Profile

• Strong software engineer with proven experience building enterprise-grade applications
• Hands-on AI experience or keen interest in applying AI in real-world settings
• Comfortable working in a small, fast-moving team building tools from scratch
• Enterprise mindset: security, scalability, and quality at the core of delivery

Compensation & Level

• Multiple levels available, with a preference for senior-level hires
• Competitive salary + bonus + benefits
• Visa sponsorship available

Senior AI Software Engineer

London

£90,000-£130,000

I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making.

Role Responsibilities

As a Senior AI Applied Engineer, you will:

• Build & Deploy AI-Driven Software Solutions
• You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation.
• Own Project-Based Work Across Diverse Domains
• You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients.
• Ensure Scalable and Reliable Deployment
• Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale.
• Act as a Strong Team Contributor and Communicator
• While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities.
• Leverage Generative AI Expertise
• Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery.

Who We're Looking For

Essential Qualifications & Experience

• Strong software engineering background with deep experience deploying scalable systems
• At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency
• Comfortable with project-based, delivery-focused work, even if no prior consultancy experience
• Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders
• Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team

Ready to Apply?

If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.