You will own the end-to-end lifecycle of AI models, from dataset strategy and fine-tuning to hardware deployment. By building robust, low-latency inference pipelines, you will transform real-world data streams into actionable insights for threat detection. This role bridges the gap between sophisticated machine learning research and high-performance edge computing.
Back to all jobsSee Open Roles
Learn about Jack
This job is no longer actively hiring. Open Roles to see active jobs.
Senior AI Engineer at well-funded safety tech startup
Are you ready to own the full AI lifecycle for safety-critical applications? This well-funded London startup is looking for a Senior AI Engineer to design and deploy low-latency models for threat detection. From fine-tuning Transformers to optimizing edge inference with TensorRT, you will tackle complex real-world data streams and build the future of intelligent security. If you are a PyTorch expert with a passion for high-performance MLOps and hardware integration, this career-defining role offers the chance to lead technical strategy while earning a competitive salary and equity in a fast-growing venture.
Want to apply for this role?
C
This role is no longer actively hiring, but Jack can still help you discover similar open roles that fit.
Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
Confidential company
Role overview
About the company
Well-funded safety tech AI startup
What you will do
- Design, train, and fine-tune text, audio, and vision models using frameworks like PyTorch, HuggingFace, and SpeechBrain.
- Optimize models for real-time performance through quantization, pruning, and engines like TensorRT or ONNX.
- Build and maintain reproducible MLOps pipelines including data collection, labeling, and automated CI/CD for model versioning.
Who this is a fit for
- Proven expertise in Python and PyTorch with hands-on experience in audio/video AI stacks like YOLO or MediaPipe.
- Deep understanding of production MLOps, including experiment tracking, model registries, and containerized deployment via GCP.
- Skilled in optimizing low-latency inference for streaming systems and handling multi-objective metric trade-offs in safety apps.
Why this role is remarkable
- Lead the development of safety-critical AI models that have a tangible impact on real-world security and aggression detection.
- Join a well-funded startup backed by top-tier investors during a high-growth phase where you can influence the core technical architecture.
- Work at the cutting edge of MLOps, deploying sophisticated models to both cloud and specialized hardware at the edge.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.