Senior Backend Engineer, causaLens

£60-80k

+ Share options

AWS

Docker

Kubernetes

GCP

Python

Terraform

Azure

Sagemaker

Mid and Senior level

London

2-5 days a week in office (hammersmith)

Low-code causal AI platform

Job no longer available

Low-code causal AI platform

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataDeep TechAnalyticsStrategic IntelligenceNo-Code

Job no longer available

£60-80k

+ Share options

AWS

Docker

Kubernetes

GCP

Python

Terraform

Azure

Sagemaker

Mid and Senior level

London

2-5 days a week in office (hammersmith)

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataDeep TechAnalyticsStrategic IntelligenceNo-Code

Company mission

To radically advance human decision-making.

Job

Company

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. It does this by facilitating AI-based decision making, that brings in more cause-and-effect nuance when arriving at outcomes than other approaches. This is known as Causal AI.

Since emerging from Stealth in January 2021, causaLens has grown revenues tremendously, with clients including Tier1 banks, hedge funds, governments and Fortune 500 companies. It has seen significant funding which has enabled it to grow to meet the growing global demand for Causal AI.

The company has also invested aggressively in its technology to maintain its competitive lead. It continues to launch new features, such as an AI agents platform that runs on its Causal AI and also utilises advanced quantitative reasoning,

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

22% female employees

-12% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 3 rounds)

Jan 2022

$45m

SERIES A

Apr 2019

$4.9m

SERIES A

Total funding: $50.9m

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 HQ

West Kensington, London, UK

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/CSO)

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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