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

Apply Now

Artificial Intelligence Engineer

Intellect Group
City of London
2 days ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

AI Engineer

Location: London (Hybrid)

Salary: Up to 70,000 + Bonus + Benefits

Start Date: ASAP

About the Opportunity

We are seeking a talented and motivated AI Engineer to join a fast-growing, forward-thinking team operating at the cutting edge of artificial intelligence, large language models (LLMs), and cloud-native applications .

This is an exciting opportunity for an engineer with solid experience in AI development, software engineering, or machine learning systems to work on projects that deliver real business impact across the banking and finance sector .

Youll collaborate with an international team of AI engineers, data scientists, and software developers to design, build, and deploy scalable AI-driven products that automate data workflows, enhance analytics, and improve decision-making capabilities.

What Youll Be Doing

  • Designing, developing, and deploying AI and LLM-based solutions in production environments
  • Building and maintaining retrieval-augmented generation (RAG) pipelines and integrating LLM APIs (e.g. GPT, Claude, Gemini)
  • Developing and optimising APIs, embeddings, and backend services for AI systems
  • Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript
  • Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications
  • Participating in code reviews , technical discussions, and internal R&D projects
  • Collaborating with engineers, product teams, and business stakeholders to deliver robust, production-ready solutions
  • Contributing to the evolution of internal frameworks and best practices for AI deployment

What Were Looking For

  • 13 years of experience in AI engineering, data engineering, or software development
  • Demonstrable experience delivering AI, LLM, or data-driven applications
  • Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript
  • Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate)
  • Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD)
  • Excellent problem-solving skills and a proactive, collaborative mindset
  • Full right to work in the UK (visa sponsorship not available)

Nice to Have

  • Experience with prompt engineering , fine-tuning , or AI agents
  • Understanding of retrieval-augmented generation (RAG) systems and semantic search
  • Exposure to enterprise AI security , multimodal AI , or reinforcement learning (RLHF)

Benefits

Competitive Salary: Up to 70,000 + annual performance bonus

Hybrid Working: Flexible blend of office and remote work

Career Development: Continuous learning, technical mentorship, and clear progression opportunities

Modern Tech Stack: Work with state-of-the-art AI, LLM, and cloud technologies

Collaborative Culture: Join an innovative, global engineering and data science team

Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives

How to Apply

If youre passionate about applying your AI and engineering expertise to deliver cutting-edge solutions that make a real impact, wed love to hear from you. Please send us your CV, and a member of our team will be in touch to discuss next steps.

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.