AI Engineer

Professional Technical Ltd; City Of London; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading tech company is looking for an AI Engineer to manage AI models from dataset strategy to deployment. Responsibilities include designing and optimizing models for threat detection and creating robust pipelines. The ideal candidate should have strong Python and PyTorch skills, with experience in Audio/Video AI and MLOps principles. This full-time role offers a competitive London salary and potential share options.

Benefits

Competitive salary

Share options

Career-defining opportunity

Qualifications

• Proven Python skills and strong experience with PyTorch.
• Hands-on with HuggingFace Transformers and SpeechBrain.
• Comfortable with GCP, containers, and GPUs.

Responsibilities

• Design and optimize AI models for various data types.
• Create and manage real-time inference pipelines.
• Collaborate on streaming systems and observability.

Skills

Python proficiency

Strong PyTorch experience

Hands-on experience with Audio/Video AI

Knowledge of MLOps principles

Experience with GCP

Tools

HuggingFace Transformers

SpeechBrain

Docker

Job description

Overview

AI Engineer. Own our AI models end-to-end: dataset strategy, training/fine-tuning, evaluation, optimization, and deployment to real hardware in the field. Turn messy real-world streams into robust, low-latency inference pipelines.

What you'll do

• Design, train, and fine-tune text/audio/vision models (e.g., DistilRoBERTa, wav2vec2, YOLO) for threat and aggression detection.
• Build reproducible training pipelines (HF/ PyTorch/ SpeechBrain), incl. PEFT/LoRA, adapters, and transfer learning.
• Optimize for real-time: quantization, pruning, ONNX/TensorRT, mixed precision, batching, caching.
• Ship models to edge & cloud with CI/CD, versioning, and rollback; instrument latency and accuracy SLAs.
• Create data pipelines: collection, labeling, augmentation/synthesis, dataset versioning (DVC).
• Collaborate with backend/infra on streaming (RTMP/TCP), Pub/Sub, autoscaling, and observability.

Must haves

• Python wizardry and strong PyTorch.
• Hands-on experience with Audio/Video AI - HuggingFace Transformers, SpeechBrain or torchaudio, one detection/pose stack (YOLO, MediaPipe).
• Production MLOps: experiment tracking, model registries, CI/CD, model monitoring.
• Comfortable with GCP, containers, and GPUs.
• Located in London or ready to relocate.

Nice to have

• Real-time inference experience
• Streaming systems, low-latency audio (VAD/Whisper/wav2vec2), and CV pipelines.
• Security/privacy by design (PII handling, encryption, GDPR).
• Experience tuning multi-objective metrics (precision/recall trade-offs for safety-critical apps).

The deal

• Full-time
• London-based (or ready to relocate)
• One-month probation to confirm you have what it takes
• Career-defining opportunity
• Competitive London salary + share options