UX / UI Product Designer

Opus Recruitment Solutions
Brighton and Hove, United Kingdom
4 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 70K

Job location

Brighton and Hove, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Python
Machine Learning
TensorFlow
PyTorch
Large Language Models
Prompt Engineering
Containerization
Scikit Learn
Machine Learning Operations
Virtual Agents

Job description

GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership | Do you want to lead AI at the core of a truly AI-native business building the next generation of virtual sales assistants? A company where GenAI isn't a buzzword, it powers everything from 24/7 Product Experts to intelligent agents guiding customers through complex purchasing journeys across any channel? This is that opportunity, reporting directly into the CTO, you'll head up the AI function, leading a team of Data Scientists and Machine Learning Engineers while remaining hands-on in shaping and delivering cutting-edge AI products. This business is solving real customer problems with Agentic AI, optimised RAG pipelines and state-of-the-art GenAI approaches, and they need a senior AI leader to take ownership of strategy, execution and impact. Joining, you'll:

  • Own and evolve the company's AI strategy
  • Influence how Agentic and GenAI technologies are used to drive commercial growth
  • Lead from the front, balancing leadership with hands-on technical delivery
  • Build, mentor and inspire a high-performing AI team
  • Work cross-functionally to rapidly validate ideas and ship value fast
  • Drive delivery velocity through ambiguity, experimentation and learning You'll bring

Requirements

  • Proven experience leading AI teams delivering commercial products

  • Deep GenAI and classical ML expertise

  • Hands-on experience with Agentic AI, evaluation frameworks, RAG and prompt engineering

  • Strong Python skills (PyTorch, scikit-learn, modern ML frameworks)

  • A commercial mindset, balancing tech investment with customer value

  • The credibility to lead technically and influence at exec level Desirable but not essential:

  • Strong AWS, containerisation and MLOps knowledge

  • Confidence engaging directly with customers and enterprise stakeholders

About the company

If you want to sit at the heart of an AI-first business, shape real products and lead AI that actually ships, this is the one.

Apply for this position