Artificial Intelligence Engineer

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AI Scientist Role

• Opportunity for an AI Scientist to join a scaling startup in the AI and Healthcare technology sector
• Salary up to £130k + Equity
• Paddington based (4–5 days per week in office)
• Tech environment:
  Python | PyTorch | Tensor Flow | scikit-learn | NLP | LLMs | Data Engineering

If you wish to keep your CV / data private, feel free to Whats App your details / CV to me,
Dan –

We’re a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing outcomes. Backed by strong funding and an ambitious roadmap, we’re building production-grade AI solutions that make a tangible difference.

• Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts).
• Design, develop, and deploy end-to-end ML systems
  , from concept to production.
• Build models for intelligent automation, natural language processing (NLP), and data-driven insights.
• Work with Python
  , Py Torch ,
  Tensor Flow
  , and scikit-learn to prototype and scale solutions.
• Partner with senior leadership to define the AI roadmap and long-term strategy.
• Optimise deployed models for performance, scalability, and reliability in real-world environments.

• Proven experience designing, training, and deploying machine learning models in production.
• Strong proficiency in Python and key ML frameworks (
  Py Torch ,
  Tensor Flow
  , scikit-learn
  ).
• Deep understanding of machine learning algorithms and statistical modelling.
• Ability to work independently while collaborating effectively within technical teams.
• Excellent analytical
  , problem-solving
  , and communication skills.

• Hands‑on experience with LLMs and Natural Language Processing (NLP), including fine‑tuning or prompt engineering.
• Familiarity with distributed computing or parallel processing (Ray, Spark, etc.).
• Experience deploying models in production environments (Docker, cloud services).
• Exposure to data engineering or working alongside data pipeline teams.
• A genuine passion for AI innovation and real‑world applications in health, petcare, or automation.

Please either apply online or email me directly at d.

By applying for this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only.

AI | Machine Learning | Python | PyTorch | Tensor Flow | NLP | LLMs | scikit‑learn | Data Engineering | Model Deployment | AI Automation