Senior AI/LLM Engineer

Courtfield
1 week ago
Create job alert

AI / LLM Engineer
Permanent | Up to £140,000 + benefits
London | 5 days on-site
 
A fast-moving, rapidly growing commodity trading firm, and a leading market-maker in energy derivatives, is continuing to scale and is looking for an AI / LLM Engineer to help design and deploy advanced AI-driven solutions across the business. This role is suited to an engineer who enjoys working close to the business, building production-grade AI systems, and operating in a high-performance financial services environment.
 
Overview
As an AI / LLM Engineer, you will be responsible for building, deploying, and optimising AI and large language model solutions that support trading, risk, operations, and decision-making workflows. You will work closely with engineers, traders, and senior stakeholders to translate real business problems into scalable AI systems.
 
This is a hands-on engineering role, with a strong focus on production deployment, cloud infrastructure, and real-world model usage rather than pure research.
 
Role Responsibilities

Design, build, and deploy AI and LLM-based solutions into production environments
Work with large language models, prompt engineering, orchestration, and evaluation
Integrate AI solutions into existing trading, analytics, and operational platforms
Build scalable pipelines and services across multi-cloud environments (AWS, GCP, Azure)
Collaborate closely with engineering, data, and business teams to deliver real commercial impact
Develop and integrate intelligent AI agents / agentic workflows that act autonomously to solve key problems across the firm
Ensure reliability, performance, and security of AI systems in a regulated financial environment
Continuously improve model performance, cost efficiency, and scalability 
Essential Skills & Experience

Proven experience as an AI Engineer, Machine Learning Engineer, or LLM-focused Engineer
Hands-on experience building and deploying LLM-powered applications
Strong multi-cloud experience across AWS, GCP, and/or Azure
Background in financial services, ideally within trading, capital markets, commodity trading, or large enterprise banking
Strong software engineering skills with a focus on production systems
Comfortable working in fast-paced, high-pressure environments
Ideally looking for practical experience building or deploying intelligent AI agents / agentic systems that automate workflows in production - whether custom‑built or via frameworks like AI‑Gentic and similar platforms 
Package

Salary around £140,000, dependent on experience
Competitive benefits package
Onsite (5x week in London)

Related Jobs

View all jobs

AI/ML Engineer

Senior Software Engineer

Senior RF Data Scientist / Research Engineer

Senior RF Data Scientist / Research Engineer

Senior Mobile Developer

Founding 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.

Neurodiversity in Robotics Careers: Turning Different Thinking into a Superpower

Robotics is where software, hardware & the physical world collide. From warehouse automation & surgical robots to drones, cobots & autonomous vehicles, robots must sense, think & act reliably in messy real environments. To build that kind of technology, you need people who think differently. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too chaotic” for engineering. In reality, many traits that made school or traditional offices hard are exactly what robotics teams need: intense focus on complex systems, pattern-spotting in sensor data, creative problem-solving when hardware misbehaves. This guide is written for neurodivergent job seekers exploring robotics careers in the UK. We’ll cover: What neurodiversity means in a robotics context How ADHD, autism & dyslexia strengths map to key robotics roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in robotics – & how to turn “different thinking” into a professional superpower.

Robotics Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the UK robotics jobs market is in a strange but interesting place. On one hand, UK manufacturers, logistics firms and warehouses must automate to stay competitive, tackle labour shortages and meet productivity and net-zero targets. On the other hand, the UK still lags badly behind peers in robot adoption, with relatively low robot density in factories compared with other advanced economies – which is both a challenge and a massive opportunity. The National Robotarium +1 Add in AI, computer vision and edge computing, and you get a robotics landscape that is: More selective in hiring. More focused on real operational outcomes. More integrated with software, data and safety standards. Whether you are a robotics job seeker planning your next move, or a recruiter building automation and robotics teams, this guide explores the key robotics hiring trends for 2026.

Robotics Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK robotics hiring has shifted from toolbox checklists to capability‑driven evaluation that emphasises deployed systems, safety, reliability and total cost of ownership. Employers want proof you can ship and sustain robots in production—industrial arms & cobots, AMRs/AGVs, field robots, surgical/med‑tech, warehouse automation, inspection & maintenance. This guide explains what’s changed, what to expect in interviews and how to prepare—especially for robotics software engineers (ROS/ROS 2), perception/vision engineers, controls & motion planners, mechatronics & embedded, safety & compliance, test/V&V, DevOps/SRE for fleets, and robotics product managers. Who this is for: Robotics software/perception/controls engineers, mechatronics & embedded, simulation & test, DevOps/SRE for robotics fleets, HRI/UX, safety/compliance, field/commissioning engineers, and product/technical programme managers in the UK.