Tech Lead / CTO - AI Start Up - £100k + Stock Tech Lead / CTO - AI Start Up - £100k + Stock …

TEKsystems
in London, England, United Kingdom
Permanent, Full time
Last application, 30 Jun 20
GBP90000 - GBP100000 per annum + Bonus + Benefits
TEKsystems
in London, England, United Kingdom
Permanent, Full time
Last application, 30 Jun 20
GBP90000 - GBP100000 per annum + Bonus + Benefits
My client is a state-of-the-art AI start up in London. They are looking for a Tech Lead to build out their Data focussed engineering team. They are currently building a technology to monitor narratives in news and social media using a combination of an expert network platform for machine learning, and advanced natural language understanding techniques. The team is built up of top researchers and engineers within NLP and Machine Learning.

Tech Lead / CTO - London

Python, Data, AI, Start Up, AWS, Kubernetes, Kafka, CircleCI, Terraform, Ansible, Hashicorp Vault, Grafana, Kibana, RabbitMQ

My client is a state-of-the-art AI start up in London. They are looking for a Tech Lead to build out their Data focussed engineering team. They are currently building a technology to monitor narratives in news and social media using a combination of an expert network platform for machine learning, and advanced natural language understanding techniques. The team is built up of top researchers and engineers within NLP and Machine Learning.

The culture and environment are one where you will be pushed and challenged but continuously developed both technically and as a person - this role as the opportunity to develop into a CTO.

They are looking for someone who will have a key role in building our core product as we bring it to market. You will be responsible for setting up and managing the AWS infrastructure needed to run our data pipelines and application services.

A key part of the role will be managing the development of all the SaaS software components that need to be built from our content understanding engine, including a backend architecture to ingest client social media data and content, and give context automatically on a polling schedule about the fake news/hate speech within it and trends around this. We also have a long roadmap around building APIs.

Technical Skills

  • Python
  • AWS
  • Kubernetes
  • Kubeflow
  • Kafka
  • CircleCI
  • Grafana
  • Prometheus
  • ELK
  • Terraform
  • Ansible

What you'll be doing

  • Support 4-5 engineers when deploying and shipping new features or services
  • Delivering product specs from a tech perspective
  • Building and managing the various Kubernetes environments on AWS that allow us to deploy ML models
  • Supporting data engineers and ML engineers to build data pipelines using Kubeflow
  • Making sure we can move from processing 00s of websites/URLs in the content understanding engine to millions so we can handle large ad tech clients
  • Think through things like orchestrators, multi-threading and parallelisation in our architecture
  • Building out APIs to each ML model component we have built already
  • Ensure everything we deploy is secure, performant and observable
  • Leading the platform team working closely with the ML Roadmap to ensure it can be executed and models can be run effectively in our pipeline

Nice to have

  • Experience with Ansible
  • Experience with Hashicorp Vault
  • Observability experience with Prometheus, Grafana, Kibana
  • Experience with Kafka/RabbitMQ

If you think you are the right fit for this role please get in contact on ghart@teksystems.com or 0207 997 1116.

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

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