causaLens is the pioneer of Causal AI — a giant leap in machine intelligence.
We are on a mission to build truly intelligentmachines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest.
Since the company was established in 2017, causaLens has:
Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI -here
Open sourced two of our internal tools and packages to support the open-source community, seeDaraandCausal Graphs.
Raised $45 million in Series A funding
Been named a leading provider of Causal AI solutions by Gartner -here
Included in Otta’s 2022 Rocket List as one of the fastest-growing companies to launch your career
At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning.
Our Mission
To radically advance human decision-making.
A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.
Head to ourwebsite homepageand watch the ‘Why Causal AI’ video to learn more.
The Role
We are seeking a motivated and high-achieving Lead Machine Learning Engineer to join our Product team in London. In this leadership role, you will spearhead the development of our Causal AI platform, designed to optimise business processes across diverse industries. This full-time position offers robust opportunities for personal growth, leadership development, and collaboration within a dynamic, mission-driven team.
What you will do
In this role, you will provide technical leadership in the development of our Causal AI platform, guiding both the vision and execution within our Product Engineering team, which includes software engineers, data scientists, and machine learning experts. While you will actively contribute to coding and algorithm development, you will also play a pivotal role in mentoring team members and driving innovation across the team.
Your focus will be on:
Leading the design and development of advanced Causal AI algorithms, with a focus on time series and tabular data, ensuring they are optimised for scalability and performance.
Overseeing feature engineering and machine learning initiatives to deliver robust, production-quality solutions.
Providing mentoring and technical guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Collaborating with cross-functional teams, including product management, DevOps, and UX/UI design, to seamlessly integrate Causal AI capabilities into our platform’s architecture.
A minimum of 5 years of experience in machine learning engineering or a related field, with demonstrated success in deploying machine learning models into production environments.
Strong academic background in a quantitative discipline (e.g., machine learning, statistics, mathematics) or equivalent industry experience.
Expertise in translating complex machine learning algorithms into scalable, production-quality code, with proficiency in Python and a strong understanding of optimization techniques (experience with Cython and CUDA is a plus).
Experience in developing Large Language Models (LLMs) is advantageous.
In-depth understanding of computer architecture and its implications on AI/ML performance.
Comprehensive knowledge of the software development life cycle, including best practices in version control, testing, and deployment.
Proven ability to lead and mentor teams, with strong collaboration skills and a commitment to fostering a positive team culture.
Exceptional problem-solving skills, integrity, and a results-driven mindset.
Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
Ability to independently drive technical initiatives in a fast-paced environment.
This role is based in London, with flexibility for remote work or relocation assistance available for exceptional candidates.
If you are excited about leading from both a technical and managerial perspective in the field of Causal AI, we encourage you to apply and join us on this groundbreaking journey.
About causaLens
Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect — a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications, and many others.
We may be biased, but we believe you’ll be in good company. We offer a hybrid working setup and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs!
What we offer
We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday, and a good work-life balance, we offer the following:
Access to mental health support through Spill
Competitive salary
25 days of paid holiday, plus bank holidays
Share options
Pension scheme
Happy hours and team outings
Referral bonus program
Cycle to work scheme
Friendly tech purchases
Office snacks and drinks
Logistics
Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions.
