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

Apply Now

Artificial Intelligence Engineer

Harnham
City of London
1 week ago
Create job alert

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.

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.