Senior Backend Engineer, causaLens
£60-80k
+ Share options
2-5 days a week in office (hammersmith)
Low-code causal AI platform
Open for applications
Low-code causal AI platform
21-100 employees
Open for applications
£60-80k
+ Share options
2-5 days a week in office (hammersmith)
21-100 employees
Company mission
To radically advance human decision-making.
Role
Who you are
- Bachelor's or Master's degree in Computer Science, Physics, Maths, or a related field or equivalent industry experience
- 3-5 years of professional experience in a production python cloud application, machine learning engineering, or a related role, with exposure to deploying machine learning models into production
- Demonstrably strong Python skills with experience in distributed systems
- Strong knowledge and experience with Cloud Native Infrastructure (GCP, Azure, AWS) with demonstrable skills in using and managing Kubernetes clusters
- Good knowledge of DevOps tools and technologies, such as Helm, Docker, Terraform and CI/CD pipelines (GitHub Actions)
- Knowledge of MLOps especially on cloud environments: Vertex, Sagemaker, Synapse, is a huge plus
- Strong Knowledge of the software development lifecycle (code review, version control, tooling, testing, etc.)
- Understanding of the full stack would be ideal (REST backends and SPA frontends)
What the job involves
- We are looking for exceptional and ambitious individuals to develop our Causal AI platform
- We are looking for motivated and high-achieving Senior Backend Software Engineers, based in London, to join our Product team
- Your focus will be on designing, implementing and maintaining our multi-tenanted, multi-cloud data science platform
- You’ll be responsible for service and API design, backend python implementation, CI/CD rollout and meeting quality standards
- Your remit will include multiple aspects of our multi-service platform, from AuthN to Data Integration and flow orchestration
- Collaborate closely with product managers, team leads and other senior engineers to understand the needs and requirements of services
- Design and implement APIs, services and packages to help meet user’s needs
- Develop and enhance CI/CD flows, improving quality, accountability and standards across the product stack
- Work directly on integrating key elements of MLOps workflow with causal AI capabilities, ensuring robustness, scalability, and efficiency
- Collaborate with cross-functional teams including data science, software engineering, and product to align technical solutions with business objectives and user needs
Application process
- Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office)
Salary benchmarks
Our take
causaLens want to help organisations better optimise business outcomes and their operations. Its technology is used for AI-based decision making and also to bring in more cause-and-effect nuance when arriving at outcomes. It has been identified as one of the most exciting AI startups in the UK.
Since emerging from Stealth mode in January 2021, causaLens has grown revenues tremendously, with clients including Tier1 banks, hedge funds, governments and Fortune 500 companies. It continues its mission to make AI start to understand the world as humans understand it.
It recently brought in Series A funding - which could potentially grow in size - that allows causaLens to double its team to meet the growing global demand for Causal AI while investing aggressively to maintain its competitive technology lead.
Freddie
Company Specialist
Insights
Most candidates hear
back within 2 weeks
22% female employees
-12% employee growth in 12 months
Company
Employee endorsements
Intelligent people
"Colleagues are extremely smart, curious and thoughtful about how to tackle difficult problems. They are also very willing to share ideas and..."
Funding (last 2 of 3 rounds)
Jan 2022
$45m
SERIES A
Apr 2019
$4.6m
SERIES A
Total funding: $50.6m
Company benefits
- Ability to publish and conference budget
- Cycle to work scheme
- 25 days holiday (excl. bank holidays)
- Access to mental health support through Spill
- Employer pension contribution match
- Work abroad (2 weeks per annum)
- Share option scheme
Company values
- Kind and Inspirational
- Trustworthy and Accountable
- Driven and Resilient
Company HQ
West Kensington, London, UK
Articles
Leadership
Dr. Darko Matovski
(CEO)Has a PhD in Computer Science from Southampton, previously worked for Man Group and as a Quantitative Researcher at another hedge fund.
Maksim Sipos
(CTO )Has a PhD in Physics from the University of Illinois. Career began at a hedge fund in Princeton, where they utilised petabyte-size live algorithmic systems managing 100s of millions of USD.
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