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

Apply Now

Developer

Allen Recruitment Consulting
London
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Machine Learning/Artificial Intelligence Developer

Data Scientist / Model Developer - Commercial Lending

Data Scientist / Model Developer - Commercial Lending

Senior AI/ML and Data Science Developer

Senior AI/ML and Data Science Developer

Location: London, Greater London, United Kingdom Type: Temporary Job #25513

Are you passionate about cutting-edge technology and AI? We have an exciting opportunity for a talented Full Stack Developer to join our team and help shape the future of AI-backed concierge software!

Key Information:

Location: Anywhere in the UK Remote, with occasional trips to London required Sponsorship: Not available Role type: Permanent after 3 months trial period Salary: 35K pounds per annum

Main Activities:

Front-end Development:Design and implement a front-end for our AI-backed concierge software using Python and JavaScript.

Back-end Development:Design and implement a robust back-end utilizing Python and cloud-based services like Azure or AWS.

API Integration:Seamlessly integrate useful APIs, including ChatGPT, to enhance our software’s capabilities.

Testing & Trialing:Conduct thorough testing and trialing of the software with our user base to ensure top-notch performance.

Travel Opportunities:Collaborate with the wider engineering team and attend meetings with the management team in Dubai every few months.

Prerequisite Skills:

Educational Background:Bachelor’s degree in Computer Science (2.1 or above), specializing in AI, software development, or machine learning.

Technical Expertise:Strong knowledge of full stack development is vital.

Additional Information:

Remote Work:Enjoy the flexibility of working from home for the majority of your tasks.

Interview Process:All applicants will undergo two short remote video interviews with our management team to assess team integration suitability.

Application Process:If interested, please send your CV. We promise to respond within seven days.

How to Apply:

Interested in this role? Send your cover letter and CV to our team. We look forward to welcoming a new member to our innovative and dynamic team!

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.