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Sales & Business Development Manager
Reduce experimental workloads by up to 80% and overcome R&D bottlenecks with machine learning designed to extract deep insights from sparse and noisy data sets.
Benefits:
Career development and mentorship
Cycle to work scheme
Social events
Share Options
Hybrid working
Education Requirements:
Strong academic background
Degree in maths, science or engineering
Experience Requirements:
At least 3 years experience in selling technical solutions
Other Requirements:
Ability to identify business opportunities
Ability to translate technical features into customer benefits
Autonomous and entrepreneurial mindset
Willingness to attend events and occasional travel
Responsibilities:
Targeting new business and growing key assigned accounts
Engage with research and innovation professionals
Management and negotiation of commercial agreements
Creation of account strategy and targets
Communication of account status and progress
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Speculative Candidates
Reduce engineering complexity and accelerate vehicle development using data-efficient active learning to optimize complex automotive systems with 80% less data.
Benefits:
Flexible workplace plan
Remote work options
Adaptable schedules
Training
Mentorship
Other Requirements:
CV/Resume
Tailored Cover Letter
Responsibilities:
Redefine engineering processes
Support automotive innovators
Collaborate cross-functionally
Solve complex challenges
Advancing automotive system design and calibration
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Speculative Internship Application
Salvage abandoned drugs and mitigate clinical trial failures with AI-driven toxicity analysis that explains underlying mechanisms and offers turnaround strategies.
Benefits:
Paid positions
Hands-on experience
Dynamic environment
Learning & Growth
Education Requirements:
Masters degree in biology, chemistry, computer science, bioinformatics, or data science
Experience Requirements:
Academic experience or projects that demonstrate your interest
Other Requirements:
Basic programming skills, preferably in Python
Strong analytical skills
Ability to approach problems creatively
Collaborative mindset
Responsibilities:
Gain hands-on experience in a dynamic environment
Contribute to work turning around drugs
Gain insights into the drug development lifecycle
Learn how AI techniques are applied to drug safety
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Senior AI Engineer
Salvage abandoned drugs and mitigate clinical trial failures with AI-driven toxicity analysis that explains underlying mechanisms and offers turnaround strategies.
Benefits:
Competitive salary (c. £70-90K)
Performance-based bonus
Pension
Equity
Vitality health insurance
Experience Requirements:
Strong Python development experience
Experience integrating and orchestrating AI/LLM services
Experience with agent frameworks (Pydantic AI, Langgraph, etc.)
Experience leading and managing technical teams
Experience running and evaluating agentic systems in production
Other Requirements:
Mission-oriented
Fast learner
Strong technical communication skills
Ability to rapidly prototype and iterate quickly
Familiarity with GCP
Responsibilities:
Design orchestration architecture for drug redevelopment workflows
Collaborate with ML researchers to prototype/deploy models
Build automation and agentic systems
Work with scientists to ensure tools are robust
Continuously improve development, testing, and deployment processes
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