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

Nominate & Attend

Machine Learning Engineer (Visual Specialist)

OhChat
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Bioimage Data & Agentic Systems

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Generative AI

About Oh


Oh is on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem of revolutionary AI infrastructure and products. Our platform, OhChat, features digital twins of real-world personalities and original AI characters, enabling users to interact with lifelike AI-generated characters through text, voice, and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities.


We’re looking for a Machine Learning Engineer with deep expertise to own, optimise, and scale our AI models, ensuring cutting-edge performance and user engagement.


The Role


We are seeking a Machine Learning Engineer with a focus on back-end Python engineering visual asset generation to join our team. The ideal candidate will have hands-on experience in working with deep learning models for image and video generation, leveraging technologies such as SDXL, Flux, and WAN 2.1. You should be familiar with popular machine learning frameworks like PyTorch, Diffusers, Transformers, and Docker. As a member of our team, you'll work closely with researchers, engineers, and creatives to develop and deploy solutions that generate high-quality visual content, as well as playing a key part in building the back-end of our platform.


What You’ll Do


Model Development & Optimisation:Fine-tune and optimise open-source and proprietary generative models (e.g., Flux, Wan 2.1).

Inference Optimisation & Scaling:Deploy and optimise models optimised for low latency and cost-effective inference onGPU-based infrastructure.

Custom Model Training:Train models with domain-specific datasets, improve response quality, reduce hallucinations, and enhance alignment with user intent.

Back-end engineering:Write clean, scalable Python code to expand and improve our back-end

Security & Compliance:Ensure AI models meet GDPR and ethical AI guidelines for content generation.

*Important note: As a part of this role you will be responsible for managing and maintaining large multimedia datasets of NSFW/adult content.


What We’re Looking For


🚀 3+ years of experience in machine learning engineering with a focus on GenAI

🚀 Strong expertise in Stable Diffusion, Flux, and similar architectures

🚀 Experience fine-tuning and optimising visual models

🚀 Hands-on experience with PyTorch, JAX, or TensorFlow

🚀 Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT)

🚀 Experience deploying ML models using Kubernetes and/or Docker

🚀 Strong experience with Python and software engineering best practices

🚀 Experience integrating visual models into real-world applications with performance constraints


Bonus if you have:

➕ Experience working in multimodal AI (text, voice, image, or video models)

➕ Experience working as a full-stack engineer (especially back-end and DevOps-focused)

➕ Background in AI-driven gaming, adult content, or interactive digital experiences

➕ Interest in crypto, Web3, or NFT-based AI models


Why Join Us?


🌍 Remote-first

💰 Competitive salary

🚀 Work on cutting-edge models powering next-gen AI interactions

🎯 Ownership & autonomy in shaping our AI strategy

🛠 Hands-on role in a company that ships fast and iterates rapidly

💡 Experiment with state-of-the-art AI models & inference techniques


This is a unique opportunity to lead the AI development of one of the most exciting AI companies in the companionship space. If you're passionate about building, optimising, and scaling AI-driven characters, we’d love to hear from you.

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning 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 type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning 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 developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning 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 ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.