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

Apply Now

Senior Artificial Intelligence Engineer...

MBN Solutions
London
2 days ago
Create job alert

Senior AI Engineer – Startup (AI Consultancy) - London (Hybrid) Upto £130k +shares

We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is under a year old and currently sitting at 50 people, generating revenue with a range of AI projects including fact extraction, conversational AI, Co-pilots, knowledge graphs, spanning across a variety of clients such as Investments, Insurance, F&B and CPG.

The founders have proven experience in building a consultancy from scratch and exiting, having previously built a Data Science consultancy and successfully sold to a ‘big 4’ , they are on course to replicate their success here.

This has fuelled rapid growth in the team and we are looking for Senior AI Engineers of different experience levels to join us in building the business by developing end2end LLM products for our clients.

What we’re looking for:

We’re looking for people that have experience building production ready AI solutions, to design, build and deploy AI solutions in collaboration with our clients. You’ll be applying some of the SOTA research in AI to develop applications. As such we would expect you to have:

  • Effective communication skills
  • Background in foundational Computer Vision/NLP
  • Strong Software Engineering skills (3 years+)
  • Developed LLM architecture and deployed LLM applications
  • Uptodate with current trends in AI
  • Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc

    The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-3 days a week, so we would need someone that is flexible.

    This is a fantastic opportunity to work on a broad range of problems, applying SOTA AI solutions, in a high growth business, set for success and you will be rewarded with:

  • Base salary of upto £130k
  • Meaningful EMI shares (our proven history speaks for itself)
  • 25 Days holiday
  • Statutory pension contribution
  • Private medical

    Please note: you must be eligible to work in the UK to be considered for this position.

    Interested?

    If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:

  • Email me at
  • Call me on

Related Jobs

View all jobs

Senior 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.