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AI Engineer (Computer Vision)
Location:
Fully Remote - Open to candidates worldwide
Salary:
£125,000–£160,000 DOE Equity Benefits
Sector:
AI / Computer Vision
Type:
Full-time, Permanent
Japan based company
A fast-scaling, venture-backed SaaS company is building an innovative AI platform aimed at revolutionising a multi-trillion-dollar global industry. With backing from leading venture capital firms in Japan and the US, the business has recently exited stealth mode and is entering a significant phase of product expansion and commercial growth.
We are now seeking an experienced
AI Engineer specialising in Computer Vision
to join a high-calibre engineering team. This is a unique opportunity to work on cutting-edge models, take ownership of end-to-end development, and contribute to the design of intelligent, scalable systems powering real-world innovation.
Ideal Candidate Profile:
3+ years of experience in
software development and machine learning engineering
in a fast-paced, technical environment.
Proven experience deploying AI models in production (not just research) across real-world use cases.
Advanced proficiency in
Python
and deep learning frameworks such as
PyTorch
,
TensorFlow
, or
Keras
.
Strong expertise in
computer vision
,
generative models
, and
large-scale ML pipelines
.
Familiarity with
LLMs
,
diffusion models
, fine-tuning, and techniques like
LoRA
.
Experience curating and utilising
synthetic data
for training and evaluation.
Infrastructure knowledge including
AWS
,
Kubernetes
, and
Terraform/OpenTofu
.
Strong problem-solving skills, with the ability to work independently and collaboratively within cross-functional teams.
Why Join:
Be part of a
high-growth, international team
transforming a globally significant industry through AI.
Work on
cutting-edge CV and generative AI technologies
in a highly autonomous and creative environment.
Enjoy the agility of a startup with the support of top-tier investors and a strong technical foundation.
Competitive salary, equity options, and long-term career growth opportunities.
Key Responsibilities:
Design, build, and optimise production-level AI models using
CNNs
,
Transformers
, and
generative techniques
(e.g., diffusion models, GANs).
Develop and deploy
real-time and batch computer vision pipelines
to support use cases such as object detection, document analysis, and synthetic data generation.
Experiment with, fine-tune, and operationalise
open-source models
(e.g., LLaMA, Mistral, Stable Diffusion).
Collaborate with cross-functional product and engineering teams to integrate AI solutions into core platform features.
Drive innovation by staying abreast of the latest trends in
machine learning, LLMs, and generative AI
.
Ensure responsible AI practices, including transparency, fairness, and scalability in production environments.
Optimise models for performance, cost, and deployment efficiency on modern compute infrastructure (GPU/CPU).
If you're excited to contribute to a visionary platform at the intersection of
AI, infrastructure, and global innovation
, we’d love to hear from you.
To apply, please submit your CV and a brief note outlining your interest and relevant experience.
Reference: WILL126504/MB
INDIT
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