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

Apply Now

Higher - AI recruitment | Lead Engineer

Higher - AI recruitment
London
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Data & Machine Learning Architect

Data Science and AI Engineer (KTP Associate)

Data Scientist

Head of Data Science

Head of Data Science Technology (Product, Engineering, Design) · London ·

Senior Machine Learning Researcher - Handwriting

We've partnered with an innovative early-stage startup who have built an AI powered fit operating system, the first solution of its kind to reduce returns by fixing fit pre & post production. Using machine learning and data their technology improves the way every item of clothing is cut to reduce waste save cost.


With recent funding and an ever-expanding roster of new clients to onboard, this company looks to increase its engineering capabilities and theLead Engineerwill take the helm of this growing team.


PRIMARY RESPONSIBILITIES:

This company are on a mission to revolutionize fit insights in the fashion industry. They are looking for an experienced and entrepreneurialLead Engineerto not only take charge of the development of their systems but also spearhead the growing engineering function.


THE PRODUCT:

The product is advanced analytics using AI and machine learning with a low code front end. In the next 12 months, they will be building a shopify app that automates website updates based on manufacturing data.


THE TECH STACK:OpenAI, Docker, AWS Fargate, Airbyte, Python, Scikit-learn, AWS S3, AWS RDS, DuckDB, PostgreSQL


RESPONSIBILITIES INCLUDE:

  • Leading the development of their growing systems
  • Growing and leading a team
  • Building and maintaining reliable data pipelines
  • Collaborating with other areas of the business
  • Optimizing performance
  • Implementing Best Practices
  • Shaping the Architecture


WHAT THEY’RE LOOKING FOR:

  • A motivated self-starter
  • Start-up or side hustle experience and an entrepreneurial mindset
  • A minimum of 5 years of experience in back-end development, with some experience in a leadership role
  • Up to date with cutting edge AI
  • Proficiency in Python, preferably experience with the other elements of their tech stack
  • Strong understanding of database technologies such as PostgreSQL, MySQL, or MongoDB
  • Experience building and consuming RESTful APIs
  • Familiarity with cloud platforms (AWS is ideal) and a strong grasp of CI/CD practices
  • Problem-solving mindset
  • Team Player
  • Excellent communication skills
  • Passion for learning


BONUS POINTS FOR:Experience in the retail sector


COMPENSATION/BENEFITS:

  • Competitive salary range up to £100k
  • Generous equity as one of the first 10 employees
  • 28 days holiday
  • Pension matching up to 5%
  • Flexible working as standard

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.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.