Machine Learning Engineer

We are on the search for a Machine Learning Engineer to become a part of our team of four people, focused on developing the most sophisticated and adaptable machine learning insurance platform suited for insurers, brokers, and underwriters across all sizes and sectors.

Having gained commercial experience in machine learning methods and principles and possessing knowledge of data science techniques, this role is for you, particularly, if you have experience working in a start-up or expanding environment.

About Artificial
We are creating technology for the next line of insurers.

At Artificial, we're more than just software creators. We aim to reinterpret the future of the insurance industry. Our goal is set – to utilize the best of today's technology and automation, changing the way insurers and brokers function. By eliminating mundane and repetitive tasks, we're opening up avenues for innovation, efficiency, and paramountly – human-centered solutions.

You’ll join a team of talented individuals, utilizing cutting-edge technology in a supportive learning environment. Being a results-oriented business, the expectation and support for ownership are high, meaning the potential to effect notable change is within your grasp.

We have recently raised £9.5M in Series A funding from our investors Force Over Mass, Mundi Ventures, MS&AD Ventures, and all existing shareholders, and we are gearing up for the next stage of fundraising. Join us, and seize the opportunity to be an influencer in an effort that will reinvent insurance for generations.

Requirements

Your key duties will involve the innovation, coding, and rollout of data science models at scale, using state-of-the-art technologies and the AWS cloud environment.

In this capacity, you will:

• Collaborate with data scientists to comprehend, execute, refine, and design machine learning code and other algorithms
• Work alongside data scientists to establish pipelines for training and incorporating models into
• production
• Liaise with core development teams to integrate deployed models into main products
• Cooperate with product managers, designers, data scientists, and product engineers across functions, and communicate progress and results to colleagues and leaders
• Explore new technological shifts to determine how they might connect with customer benefits we wish to deliver (e.g., GenAI)

About You

• 5-10 years of commercial experience
• BS, MS, or PhD degree in Computer Science or a related field, or equivalent practical experience
• Ability to produce ready-to-deploy code at scale in Python
• Experience with cloud technologies and deployment (AWS preferred)
• Understanding of machine learning methods and principles
• Computer science fundamentals: data structures, algorithms, performance complexity, and the 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 are highly interested in hearing from you if you have:

• An interest in reading academic papers and attempting to implement groundbreaking solutions
• Experience or interest in working with LLMs and relevant libraries (e.g., Langchain) to tackle new challenges
• Product development skills with a focus on user experience
• Experience in insurtech, insurance or related industries
• A drive to work in a demanding and disruptive setting
• Applicable personal projects to showcase

Benefits

• Competitive base
• Mixed working with a minimum of three days per week at our relaxed London HQ in the City
• Flexible work hours (you can propose a work schedule that suits you and we will accommodate it as far as possible)
• Generous holiday allowance of 28 days in addition to national holidays
• Private Medical Health Insurance
• Access to private mental health services including therapists
• Company pension (statutory level provision)
• Home office and equipment allowance, along with a company Macbook
• Learning allowance and motivation to attend conferences / take exams
• Significant Birthday Bonus
• Team social gatherings and company celebrations
• Pizza at every All Hands or lunch allowance if working from home
• The finest coffee machine in London, handmade in Italy and imported solely for us!

We are an equal opportunities employer, with a robust commitment to choosing talent from the rich variety within our local communities. If you would like to request a minor adjustment to the hiring process at any time, please let us know and feel free to share your preferred pronouns. Additionally, if you feel you do not meet all the requirement checkboxes, please do apply anyway - Artificial acknowledges the value of raw ability.