Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Artificial Intelligence Engineer

EC Markets
London
3 weeks ago
Create job alert

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.

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.