About Artificial

We’re building technology for the next generation of specialty insurers and brokers.

At Artificial, our mission is clear: to build the specialty (re)insurance landscape of the future. Our pioneering technology is revolutionising how insurers and brokers operate in complex markets. By removing the mundane and repetitive, we're paving the way for opportunity, innovation and efficiency in the industry.

At Artificial, you’ll be working with talented people, using the latest technology in an environment where learning is supported. As an outcomes-focused business, taking ownership is not only expected but embraced, meaning the opportunity to create meaningful change is within your power.

In 2024 we secured £8M in Series A+ funding, led by Europe’s premier publicly listed fintech fund, Augmentum Fintech, with participation from existing investors MS&AD Ventures and FOMCAP IV. We work with some of the world’s leading brokers and top-performing insurers in London and beyond.

Join us, and take the chance to be a part of something that is already changing the industry for the better.

Role background

We are looking for a junior AI Engineer to join our collaborative team of 4, to focus on building the most advanced and flexible AI enabled insurance platform to cater for insurers, brokers and underwriters of all sizes and sectors.

Bringing your knowledge of AI techniques and principles as well as software engineering skills, this role would be particularly of interest to you having come from a previous start up or scale up environment.

Please note, this is a hybrid role with 2-3 days per week based at our HQ or at client site.

Your role and responsibilities

Your key responsibilities will be the ideation, coding and deployment of data science models at scale, using the latest technologies and an AWS cloud environment. You will:

• Partner with more senior members of the data team to understand, implement, refine and design machine learning code and other algorithms. 
• Work with AI Engineers to build pipelines to train and deploy models into production. 
• Work with core development teams to integrate deployed models into main products. 
• Work cross functionally with product managers, designers, data scientists and product engineers to communicate progress and results to peers and leaders. 
• Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver (e.g. GenAI - including Large Language and Vision models).

About you

• At least 2-5 years of commercial experience. 
• BS, MS or PhD degree in Computer Science or related field, or equivalent practical experience. 
• Ability to write quality code in Python.
• Some experience with could technologies and serverless deployment (AWS preferred). 
• Knowledge of machine learning techniques and principles, as well as LLMs.
• Computer science fundamentals: data structures, algorithms, performance, complexity and implications of computer architecture on software performance e.g. I/O and memory tuning.
• Software engineering fundamentals: version control systems and workflows, CI/CD pipelines.

We especially want to hear from you if you have

• Interest in reading academic papers and trying to implement state-of-the-art solutions.
• Experience or interest in working with LLMs and relevant libraries (e.g. Langchain) to solve new challenges.
• Product development skills with an emphasis on user experience.
• Experience in insurtech, insurance or related industries.
• Comfortable working in a fast-changing start-up environment with all the ambiguities this presents: flexibility will be needed.

Benefits 

• Competitive base salary
• Private medical insurance
• Income protection insurance
• Life insurance of 4 * base salary
• On-site gym and shower facilities
• Team social events and company parties
• Salary exchange on pension and nursery fees
• Access to Maji, the financial wellbeing platform
• Milestone Birthday Bonus and a Life Events leave policy
• Generous holiday allowance of 28 days plus national holidays
• Home office and equipment allowance, and a company MacBook
• Learning allowance and leave to attend conferences or take exams
• YuLife employee benefits, including EAP and bereavement helplines
• For each new hire, we plant a tree through our partnership with Ecologi Action
• The best coffee machine in London, handmade in Italy and imported just for us!
  

We're an equal opportunities employer, with a strong commitment to hiring from the rich diversity within our local communities. If you’d like to request a reasonable adjustment to the hiring process, please do let us know at any time and feel free to let us know your preferred pronouns. If you feel that you don’t tick all the boxes of requirements, please do apply anyway - Artificial recognise the value of raw talent. Please be aware as part of the application process we’ll be carrying out various background checks. These may include a criminal records check, checking your credit history, contacting your previous employers and/or verifying your academic qualifications.