Ai/ml engineer Work, Jobs in Radlett, Hrt (with Salaries)

ML Engineer
VEED.IO —London
- £76,000 - £119,400 a year
- Machine learning
- School
- Annual leave
AI/ML Engineer
Aivra Health —London
- £27,827.24 - £35,825.62 a year
- Azure
- Computer Science
- Master's degree
Quick apply
Machine Learning Engineer
Xantura —London
- £50,000 - £70,000 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Quick apply
10d
Research Engineer, Machine Learning (RL Velocity)
Anthropic —London
- £370,000 - £630,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- Communication skills
- Flexible schedule
AI/ML Engineer, London
Air Apps —London
- £60,000 - £76,000 a year
- Full-time
- Data analysis skills
- In-person
- AI
- Life insurance
AI Engineer
Shawbrook —London
- Full-time
- Master's degree
- Machine learning
- Agile
- Employee assistance programme
- Employee discount
Product Engineer
Semaloop —London
- £110,000 - £130,000 a year
- Full-time
- Machine learning
- AI
Quick apply
11d
AI Engineer
Xelix —London
- £65,000 - £75,000 a year
- Monday to Friday
- Hybrid work
- Master's degree
- Machine learning
- AI
- Annual leave
- Employee discount
Quick apply
AI/ML & Prompt Engineer LLM, RAG & Voice Agent
QuantumLoopAI —London
- Full-time
- Azure
- Master's degree
- Machine learning
Quick apply
AI Engineer
VEED.IO —London
- £76,000 - £119,400 a year
- Machine learning
- AI
- School
- Annual leave
Machine Learning Systems Engineer
Minerva Defence —London
- Full-time
- Hybrid work
- Machine learning
- Python
Quick apply
Software Engineering Intern
Pear VC —London
- Full-time
- AI
Staff Software Engineer, AI Reliability Engineering
Anthropic —London
- £325,000 - £390,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- AI
- Flexible schedule
Junior Software Engineer - AI
Sirkka Networks Limited —North West London
- £28,000 - £35,000 a year
- Software troubleshooting
- Engineering
- No experience needed
- Health & wellbeing programme
- Employee discount
Quick apply
1d
Engineering Manager
Runware —London
- Full-time
- Remote
- Master's degree
- Team management
- Leadership
- Annual leave
- Work from home
Quick apply
AI Research Engineer
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Machine learning
Engineering Manager, Connectivity - London
Anthropic —London
- £255,000 - £325,000 a year
- Hybrid work
- Bachelor's degree
- APIs
- AI
- Flexible schedule
Machine Learning Engineer
BeyondMath —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
AI NLP Engineer
Xantura —London
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme
Quick apply
AI Engineer
Zero100 —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Life insurance
Quick apply

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ML Engineer

VEED.IO
London

Apply Now

Job details

£76,000 - £119,400 a year

Benefits

Unlimited paid holidays
Annual leave

Qualifications

Torch
PyTorch
Machine learning
Machine learning modelling
Multidisciplinary collaboration
A/B testing

Full job description

About the company

At VEED , we're a generative AI company building the AI video creation platform made for social. It's where millions of marketers imagine and generate branded videos, in minutes.

We're powered by frontier models and VEED Fabric, our own image-to-video model. Our APIs also run AI video inside leading creative products.

We're a fast-moving team, backed by Sequoia, doing $50M ARR. Come help us make AI videos worth posting.

Where And How We Work

We’re a distributed team with hubs in London, Barcelona, and Amsterdam. Our ML team is mainly in London, so we’re open to candidates already based there, willing to relocate, or working remotely within 4–5 hours of London time (GMT).

About the team

You’ll be joining a team of experienced ML engineers and researchers (ex-Spiritme, ex-Pipio) working on scaling our generative video models. The team’s goal is to turn breakthroughs in research into fast, reliable, and accessible systems that power VEED’s future.

About the role

We’ve just released Fabric — a DiT-based speech-to-video model that turns spoken words into coherent, human-centric video. We’re now building the next version and a suite of video generation & editing models focused on controllability, quality, and speed.

You will work across the full model lifecycle for Fabric 2 and related models — from exploring new research and approaches to training and fine-tuning models. Your work will turn ideas from research into features creators use every day.

What you'll do

Training and fine-tuning models to create best-in-class generation and editing people-centric video models
Running experiments to boost visual quality, lip sync, and controllability
Defining clear metrics and evaluation loops and using them to guide decisions
Work closely with infra and performance engs and collaborate with the product team

Our Stack

Model/Training: PyTorch, diffusion/DiT, diffusers, transformers, torch.compile, torch.distributed, torchrun, Accelerate, PEFT/LoRA.
Data: Python, Hugging Face datasets, WebDataset-style storage, ffmpeg, large-scale curation & filtering.
Serving: Optimised PyTorch/TensorRT runtimes in GPU-backed Python services; experiment tracking, A/B testing, eval pipelines.
Hardware: Access to latest-gen NVIDIA GPUs H100 and B200 for training and inference.

About you

Experience training diffusion or transformer models for video, vision, or audio with results in production or papers
You care about shipping useful ML, not just benchmarks. You enjoy owning problems and collaborating across teams.
Strong data and experimentation skills and confidence designing practical metrics
Comfortable writing clean Python and reviewing research with a pragmatic eye
Clear communicator who can explain trade offs and make sound decisions
Motivated by impact and by making generative video better, faster, and more accessible

What we offer

Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most - whether that be to offset the cost of office furniture, childcare, gym membership, etc.
Unlimited paid holidays: We value that you get more time with your family and friends.
Home office set-up: We have an IT Equipment program to make sure your home office is adequately setup with IT equipment including a laptop, monitors, headsets/earbuds, keyboards and more!
Mental health benefit : We’ve partnered with Spill to provide all our employees with confidential mental health support.

This role is open at IC3 or IC4 level depending on experience. The salary range across both levels is £ 76,000 - £ 119,400 gross per year. The level and offer are determined by the scope of the role and your experience and skills assessed during the process. We do not ask about current or previous salary at any stage.

We think what matters is people. After all, a company is just a group of people. We don’t care about where you’re from, what school you went to or where you worked before. If you’ve done exceptional work, we want to hear from you. Join us on our mission to make creative storytelling with video simple and accessible for everyone.

Country Hiring Guidelines: At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We are currently hiring in 3 core hubs: London, Amsterdam and Barcelona and 2 additional hubs for sales and support roles only (USA for sales and the Philippines for support). Please refer to the individual job posts for more details.

By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

Apply Now

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ai/ml engineer jobs in radlett, hrt

ML Engineer

AI/ML Engineer

Machine Learning Engineer

Research Engineer, Machine Learning (RL Velocity)

AI/ML Engineer, London

AI Engineer

Product Engineer

AI Engineer

AI/ML & Prompt Engineer LLM, RAG & Voice Agent

AI Engineer

Machine Learning Systems Engineer

Software Engineering Intern

Staff Software Engineer, AI Reliability Engineering

Junior Software Engineer - AI

Engineering Manager

AI Research Engineer

Engineering Manager, Connectivity - London

Machine Learning Engineer

AI NLP Engineer

AI Engineer

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