AI / Machine Learning Specialist

Higher - AI recruitment
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Technology Specialist - AI

Machine Learning Engineer (Forward Deployed)

Senior Data Engineer (Python/PySpark & SQL)

Machine Learning Engineer

Senior Data Engineer

Senior Machine Learning Engineer

We are working with , a London-based start-up using agentic AI to automate and disrupt the $210BN supply chain and freight forwarding industry.
We're helping them hire a Founding AI Engineer .

Their investors have backed AI leaders like Synthesia, Genie AI, Superlinked, Plain, Signal AI, Dust.Founded in early 2025 by supply chain and AI experts, they are looking for ambitious, mission-driven builders to join them in creating the next generation of automation technology from the ground up and redefine the global supply chain.

As Nexcade's Founding AI Engineer, you will play a foundational role in shaping the product and company, as you build and refine AI-driven agents for workflow automation and decision-making in supply chain operations. Your work will focus on integrating, orchestrating, and optimising AI systems to interact dynamically with real-world business processes.

This is a full-time position working in the Kennington, London office 4+ days per week.

Develop & optimise AI-driven agents for real-time automation
Work closely with founders, product engineers, and customers to understand pain points and design AI workflows that create real-world value
Integrate AI models into operational workflows
Monitor & improve AI performance with feedback loops and observability tools
Collaborate with Data Engineers to ensure AI has accurate, real-time data
Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., Experience in AI-driven automation & orchestration in production environments
Proven ability to optimise AI agents for reliability and efficiency
Familiarity with data pipelines & integrations
Interest in AI process automation & workflow design

Seek every opportunity for growth. Compensation and Benefits
~ 30 days annual leave
~ Pension through Penfold
~ Employee health insurance
~ Monthly gym & health allowance
~ Cycle to work scheme
~ Enhanced parental leave
~ The satisfaction of building a world-class AI-powered product with a great team

Introductory chat with one of the founders (45 mins - remote)
#

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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.