National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI Engineer

London
1 week ago
Create job alert

Role: Applied AI & Software Engineer

Location: London or Remote (UK-based)

Contract Type: Outside IR35

Duration: 6 months (with likely extensions)

Start Date: ASAP

Overview

We're supporting a pioneering AI company developing state-of-the-art open-weight foundation models. As part of their rapid growth, they're looking for an Applied AI Engineer to support technical engagements with clients - building real-world GenAI solutions and ensuring successful deployments across enterprise use cases.

This is a hands-on contract role at the cutting edge of applied AI, suited to someone who can bridge engineering, architecture, and client engagement.

What You'll Be Doing

Build and deliver scalable, AI-powered applications in collaboration with customers.
Integrate LLMs into client platforms across backend and frontend layers.
Guide customers through architecture, design, deployment, and optimisation.
Work closely with research, product, and engineering teams to feed back real-world insights.
Create reusable patterns, templates, and tooling to streamline delivery across clients.

Key Skills Required

4+ years' software or data engineering experience, with strong Python and TypeScript skills.
Hands-on with modern frontend frameworks (React, Next.js, or Vue.js) and backend tools (Node.js).
Experience building or deploying LLM/GenAI-based applications.
Able to work across pre-sales and post-sales phases, including client-facing delivery.
Strong grasp of architecture, APIs, CI/CD, and cloud-native engineering.

Nice to Have

Previous work in customer-facing roles (e.g. Sales Engineer, Solutions Architect, Forward-Deployed Engineer).
Knowledge of model serving, vector databases, or RAG pipelines.
Open-source contributions or experience working with open-weight models.

The Offer

💼 Outside IR35
📍 Remote or London-based (offices available across Europe/Asia)
🕐 6-month contract, likely to extend
💸 Day rate: Competitive - depending on experience
🚀 Work with one of the most exciting names in open AI

If you're an experienced engineer who thrives at the interface of AI and product delivery, and you're looking for your next high-impact outside IR35 contract - let's talk

Related Jobs

View all jobs

AI Engineer

AI Engineer

AI Engineer / Consultant

AI Engineering Researcher

AI Engineer - Data Science

AI Engineer - Data Science

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.