198 Artificial Intelligence jobs in London

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.

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.

Job Title: AI Researcher

Location: Cambridge or London, UK

This is a permanent position with candidates required to do hybrid working in either Cambridge or London.

Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models

Responsibilities:

Develop and refine RLHF algorithms for large language and generative models.

Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment.

Train, fine-tune, and evaluate LLMs and diffusion models at scale.

Design experiments to align generative outputs with human and organisational preferences.

Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines.

Publish findings in top-tier AI conferences and contribute to open-source frameworks.

Key Requirements:

PhD in Computer Science, Machine Learning, or related field.

Publications at NeurIPS, ICML, ICLR, ACL, or related venues.

Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF).

Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs).

Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow).

Proficiency in Python and standard ML libraries.

Solid foundations in probability, optimisation, and statistics.

Experience working with large-scale distributed training on GPUs/TPUs.

If this sounds of interest, please reach out to

Contract AI Engineer – Azure AI Agents | Inside IR35 | Hybrid (UK-based)

Join one of the UK’s leading Investment management firms' cutting-edge AI transformation project. They're building a Greenfield AI agent platform to revolutionise how investors interact with customer data.

What You’ll Do

• Build and deploy modular AI agents using Python and containerisation tools.
• Leverage RAG, embeddings, and OCR to synthesise customer data.
• Collaborate with data engineers, DevOps, and integration specialists.
• Deliver APIs for seamless integration into Microsoft 365 and Dynamics 365 environments.
• Contribute to a high-impact roadmap with full business support.

What You’ll Bring

• Proven experience shipping production AI solutions.
• Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.).
• Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic).
• Experience with Azure integration services is a bonus.
• Passion for AI and automation - financial services background not required.

Why Join?

• Greenfield opportunity in a highly supportive environment.
• Exposure to cutting-edge AI tooling and real-world customer data.
• Flexible team, open to mid-level engineers with strong delivery experience.
• Initial 6-month contract with potential for extension.