Audio visual engineer Work, Jobs in Fobbing, Ess (with Salaries)

Multimodal ML Engineer
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- £120,000 - £250,000 a year
- Full-time
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- Relocation assistance
- Annual leave
Member of Technical Staff - IT Engineering
Reflection —London
- Full-time
- Linux
- Annual leave
ASPIRE GSC-Onsite IT Support Engineer
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- Full-time
- Azure
- Customer service
- Windows
- Employee assistance programme
- Employee discount
Quick apply
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M.C. Dean, Inc —London
- Weekend availability
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Amazon UK Services Ltd. —London
- Full-time
- Computer Science
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HeliosX —London
- Call to connect
- Remote
- Customer service
- Computer literacy
- English
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Moonbug Entertainment —London
- Full-time
- Project management
- Communication skills
Quick apply
Staff Research Engineer - Multimodal Generative Modelling
Synthesia —London
- Full-time
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MPS Field Engineer
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- £36,000 - £39,000 a year
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3d
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ONNEC Group —London
- Full-time
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VEED.IO —London
- £76,000 - £119,400 a year
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Amazon UK Services Ltd. —London
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- Full-time
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- Full-time
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Multimodal ML Engineer

White Circle
London

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Job details

Full-time
£120,000 - £250,000 a year

Benefits

Relocation assistance
Annual leave

Qualifications

Signal processing
PyTorch
Deep learning
APIs

Full job description

TLDR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform that operates at 100M+ API calls/month.

About us

White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
We process over 100M+ API calls every month
We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

You will

Train and fine-tune large-scale multimodal models (vision-language, audio, speech) from scratch and from pretrained checkpoints
Extend models across modalities: image understanding, video temporal modeling, long-context processing, and streaming audio
Design and run experiments: architecture changes, data mixes, training recipes
Build and maintain multimodal data pipelines — from raw images, video, and audio recordings to training-ready datasets, including synthetic data generation
Train and optimize MoE architectures for efficient multimodal inference
Build alignment pipelines: SFT, DPO, GRPO, reward modeling — across modalities, not just text
Optimize models for production: quantization, distillation, batching, streaming and low-latency serving
Deploy models end-to-end: from research checkpoint to production serving
Define evaluation metrics and benchmarks that actually matter for the product: visual QA, spatial reasoning, video comprehension, speech and audio understanding

You’ll fit right in if you

3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic)
Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar)
Deep experience with multimodal architectures — you understand how vision/audio encoders, projectors, and LLMs fit together (LLaVA, Qwen-VL, InternVL, Audio Flamingo, Omni Qwen, Audio Qwen, Whisper, HuBERT, Conformer, or similar)
Hands-on with RLHF/alignment for multimodal: GRPO, DPO, reward modeling — not just for text
Experience with video and/or audio sequence modeling: temporal modeling, long-context processing, efficient attention, streaming inference
Track record of shipping models to production: you've hit latency targets and optimized inference, not just reported benchmark scores
Comfortable with large-scale multimodal dataset curation: image-text pairs, video-instruction data, audio preprocessing, augmentation, synthetic data generation
Familiar with MoE architectures and their tradeoffs for multimodal workloads
Strong engineering fundamentals: clean code, version control, testing, documentation

A big plus:

Understanding of audio signal processing fundamentals (spectrograms, mel features, noise reduction)

Why White Circle

Paid time off in line with your local regulations, no matter where you work from
Work from Paris (hybrid) with a relocation package available, or work from London (note: we are unable to provide relocation support for London-based roles)
Comprehensive medical insurance for our France-based team (please note that we are in the process of setting up our UK office and therefore cannot offer medical insurance for London-based roles yet)
All the hardware, tools, and services you need
Covered subscriptions for AI agents and IDEs
Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez

How we hire

Introductory call with HR (25 min)
Take-home test task
Technical interview with Head of Applied Research (60 min)
Final conversation with our CEO (45 min)

Compensation Range: $120K - $250K

Apply Now

Refine Your Search

audio visual engineer jobs in fobbing, ess

Multimodal ML Engineer

Member of Technical Staff - IT Engineering

ASPIRE GSC-Onsite IT Support Engineer

System Administrator 1 - UK

Venue & Studio Deployments System Engineer, Event Productions

Out of Hours, Remote GP - Telehealth

Post-Production Operations Coordinator

Staff Research Engineer - Multimodal Generative Modelling

MPS Field Engineer

Unified Communication Engineer

AV Events Engineer

ML Engineer

Design Engineer/Project Manager for ICT Structured Cabling, Cabling Infrastructure Technology

Data Scientist II, Alexa for Shopping Science UK, Alexa for Shopping Science UK

Electronics Technician 3 - UK

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