Computer Vision Engineer

JR United Kingdom; Lincoln; Remote; GBP 65,000 - 70,000; Full time

Job summary

A fast-growing AI startup seeks a Machine Learning Engineer to lead their AI function. This role involves designing innovative computer vision models and developing backend solutions. Collaborate directly with the founder to drive impactful technology decisions in an exciting startup environment.

Qualifications

• Strong Python skills with experience in PyTorch or TensorFlow frameworks.
• Proven computer vision expertise or solid transferable ML experience.
• Familiarity with cloud platforms focused on MLOps.

Responsibilities

• Design and deploy computer vision models for large venues.
• Integrate LLMs and develop voice interfaces for hands-free experiences.
• Build scalable infrastructure and MLOps pipelines.

Skills

Python

Computer Vision

MLOps

Job description

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? Machine Learning Engineer | AI Startup | £65k to £70k | Remote (UK-Based)

? July 2025 start (flexible)

We’re partnered with a fast-growing early-stage startup that’s transforming how people experience real-world spaces like museums, aquariums, and heritage sites using AI, computer vision, and generative tech.

They’ve nailed pilots with major cultural institutions and just closed their pre-seed round. Now they’re on the hunt for a Machine Learning Engineer to take full ownership of their AI stack and drive the next wave of innovation.

What You’ll Be Doing

• Designing, training, and deploying computer vision models to recognize exhibits and physical objects across large venues
• Integrating LLMs and retrieval-augmented generation (RAG) systems to enable contextual, safe, and engaging visitor conversations
• Developing voice interfaces using speech-to-text and text-to-speech for seamless hands-free experiences
• Building scalable infrastructure, backend APIs, and MLOps pipelines (preferably on AWS)
• Working closely with the founder to influence product roadmap and AI strategy

What They're Looking For

• Strong Python skills with experience in PyTorch or TensorFlow frameworks
• Proven computer vision expertise or solid transferable ML experience
• Familiarity with cloud platforms and backend development focused on MLOps
• Experience or strong interest in LLMs, prompt engineering, AR, indoor navigation, or data infrastructure is a bonus

Why This Role?

• Lead and own the AI function from the ground up
• Work at the intersection of cutting-edge tech and real-world impact
• Collaborate directly with the founder and shape product and technology decisions

Interested?

We’re already speaking with top ML and computer vision engineers. If you want to take on this challenge, let’s chat.