Requirements

Good coding skills in Python or equivalent (ideally Java or C++).
Hands-on experience in open-ended and ambiguous data analysis (pattern and insight extraction through statistical analysis, data segmentation, etc.).
A craving to learn and use cutting-edge AI technologies.
Understanding of building data pipelines to train and deploy machine learning models and/or ETL pipelines for metrics and analytics or product feature use cases.
Experience in building and deploying live software services in production.
Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS, and service-oriented architecture.

What you'll be doing

Define problems and gather requirements in collaboration with product managers, teammates, and engineering managers.
Collect and curate datasets necessary to evaluate and feed the generative models.
Develop and validate results of the generative AI models.
Fine-tune models when necessary.
Productionize models for offline and/or online usage.
Learn the fine art of balancing scale, latency, and availability depending on the problem.

Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
Competitive salary, a pension scheme, and an optional employee stock purchase plan.
25 days paid holiday (rising to 29 with service), plus one floating holiday.
£150 monthly reimbursement to help cover remote working expenses.
£81 caregiver reimbursement to support dependent care for families.
Private health insurance, including dental and vision.
Flexible working hours and meeting-free Wednesdays.
Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
Opportunities to participate in digital events and conferences.
£81 per month to use toward qualifying wellness expenses.
Quarterly team offsites.