Senior Machine Learning Engineer
1 month ago
Senior Machine Learning Engineer
who wants to work in a team at the cutting edge of engineering sustainability?
Our client is on a mission to empower engineers to use AI to overcome their most difficult physics and design challenges and build truly great products. With strong product-market fit, this company has doubled in size over the last four years, are growing globally (50 employees and counting), and have ambitious plans to expand.
In light of this, they are recruiting a
Senior Machine Learning Engineer
to continue their growth and improve the capabilities of their products.
This well-funded company was founded in 2016, and provides a no-code AI platform to engineers to help them improve and accelerate the process of design and development. Their current clients include Siemens, Honeywell, Michelin and Mercedes-Benz. The company has grown steadily year on year and fosters a passionate, engaging and collaborative culture. They are proud to be an equal opportunity employer, valuing diversity and inclusion. The company's office is based in London Bridge and most employees are in the office 3 days per week.
It’s an exciting time to join this ambitious team
WHAT YOU'LL BE DOINGnAs
Senior Machine Learning Engineer,
you will sit within the company's Data Science team and report to the Director of Engineering. Their Machine Learning stack runs on on-demand containerised infrastructure – ranging from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances.
Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod.
TECH STACK:nPython, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight.
KEY RESPONSIBILITIESnLead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacksnShape the ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategynConcisely break down complex high-level ML requirements into smaller deliverables (epic à task)nProactively identify blockers across the team, help promptly and effectively to unblock themnBring seniority and pragmatism to every line of code and decision-making, making trade-offs explicit and understandable to others
REQUIREMENTSn7+ years' coding experience, including 3 years in a dedicated ML Engineering rolen2+ years’ experience with Apache SparknExperience working with GB+ scale datanExperience with deployed ML servicesnExperience deploying multiple ML projects across different environmentsnProductionisation experience in at least one cloud infrastructure (AWS, Azure, GCP)nAble to work autonomously from end-to-end, while maintaining alignment with product requirementsnExcellent communicator, able to relate confidently with colleagues at every level from junior developers to senior leadersnLaser focused on identifying and progressing on critical path, both individually and as a team
NICE TO HAVESnDistributed machine learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow)nProductionisation experience on multiple cloudsnFamiliarity with MLOps principles and practices, and their application in a production setting
COMPENSATION/BENEFITS :n£100k salary (or more depending on experience) + equityn30 days annual leave + UK bank holidaysnLearning budget of £500 per year, through SunlightnPension with NESTnVitality health insurancenWellness budget of £40 per month through Hekan1 day off to volunteer per year
***Only candidates with right to work in the UK will be considered. This company is not offering visa sponsorship***
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