TLDR requirements

• 5+ years experience in developing, deploying and maintaining customer-facing ML models.
• Based on a location that is +/- 2 hours from UK's time zone.
• Deep experience with harnessing ML’s critical and volatile dependency: data.
• Experience being part of a high-growth startup or tech company.

Description

• Translucent is taking advantage of the latest data tools & techniques to build a next generation accounting system. As such Data is at the very heart of the company and the product, with Machine Learning its arteries.
• Collaborate with a high-performing, experienced team who've founded, built and exited startups. You'd be a valued peer alongside data engineering, design, product and software engineering team members.

The Role

• You’ll join the founding Data Science Team of an exciting new data/next gen accounting system startup, with funding in place and validated customer demand.
• You will have the opportunity to set up our end-to-end ML framework to enable both rapid experimentation and production integration with Data Engineering, Dev and Business Intelligence services.
• You will design and drive the interfaces with other teams, both technical and human.
• You’ll work on the MVP of our product alongside our Data Engineering and Dev teams.
• You will be working with financial and accounting data from source through to the myriad applications of the data.

• 5+ years of experience in developing, deploying and maintaining ML models for both tabular and free-text data, with expertise in NLP and graph-based approaches a strong plus.
• Experience with MLOps, with DataOps or business-intelligence experience a strong plus.
• Experience in deploying production-standard code (including Python and SQL on cloud).
• Experience with data oriented software development, including a firm grasp of modern development practices.
• Experience with ML frameworks (e.g. PyTorch, tensorflow, scikit-learn), (distributed) computational frameworks (e.g. PySpark, dask, numpy) and ML lifecycle frameworks (e.g. Weights & Biases, MLflow, VertexAI, tf-extended), with experience in ML data frameworks (e.g. GreatExpectations, DVC) a strong plus.
• Experience in effectively bridging communications between Data Engineering and Dev teams.
• Experience being part of a high-growth startup or tech company.
• Recognised by your colleagues as being excellent at your job and someone that people want to work with.
• Curious and passionate about your work.
• Clear communication (in English) and ability to work well with others in a distributed team.

• Salary: Up to £120k p.a. + option package.
• Holidays: 23 days p.a. + the days between Christmas & New Year + Public Holidays.
• Location: Remote, but UK/European time zone.
• Pension Contributions.
• Healthcare.