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

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

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

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