AI Engineer (Python, LLMs)

numi
London
1 month ago
Applications closed

Related Jobs

View all jobs

AI Engineer

AI Engineer

AI Engineer / Data Scientist

AI Engineer - Jan 25

AI Engineer

AI Engineer - Senior to Mid

šŸš€AI Engineer –London (Hybrid) - Up to Ā£70,000 per annum - 3+ years in AI/ML development, Python & LLM expertise šŸ’¼


Are you ready to push the boundaries of AI? numi are proud to have partnered with a early-stage startup on a mission to revolutionise enterprise AI.


You'll play a pivotal role in advancing large language models (LLMs), developing foundational models, optimising performance, and handling complex datasets.


All while working alongside a top-tier founding team with expertise from leading global companies.


šŸ”§ What You’ll Do:


As an AI Engineer, you'll drive the development of next-generation LLMs. You’ll pre-train and fine-tune foundation models, manage large-scale datasets, and lead experiments to enhance model efficiency and scalability.


  • Full-Stack Development:Lead the design, development, and maintenance of both front-end and back-end technologies to ensure a feature-rich and user-friendly platform.
  • UX design:Develop and maintain responsive, user-friendly web interfaces using modern front-end technologies and frameworks.
  • Database Management:Design, implement, and optimise database schemas and queries to ensure efficient data storage and retrieval.
  • Collaboration:Partner with leading researchers, data scientists, and engineers to push the boundaries of AI.


šŸŽÆ Who are you?


  • Experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Proficiency in full-stack development usingJavaScriptandNext.JS
  • Strong experience with frontend development usingReactandTailwind CSS
  • Skilled in managing large databases likePostgreSQL
  • Experience with container orchestration tools such asDockerand Kubernetes
  • Hands-on with LLM libraries such asLangChain,LangGraph,LlamaIndexorOllama.



But....Most importantly, you’re passionate about AI innovation and solving complex challenges šŸ¤–


šŸŽ‰ Why this role?

This is your chance to work on revolutionary AI technology that will shape the future of enterprise-grade LLMs. Enjoy a competitive salary, stock options, and the chance to thrive in a collaborative, innovative culture.


Apply below - interviews are getting underway ASAP 😊

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around ā€œfoundation models,ā€ many professionals asked, ā€œDo I need to learn PyTorch to work in machine learning?ā€ The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs inĀ 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, AugustĀ 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in FebruaryĀ 2025—bringing generative AI co‑pilots and large‑scale GraphĀ NeuralĀ Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job inĀ 2025.