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- Tasks: Lead the development of cutting-edge ML solutions in a dynamic, multi-cloud environment.
- Company: Galytix is transforming AI for banking and insurance, empowering financial professionals globally.
- Benefits: Enjoy career progression, work with industry leaders, and gain valuable skills in a customer-centric culture.
- Why this job: Join a mission-driven team redefining industry standards and making a real impact on financial services.
- Qualifications: Degree in computer science or related field; strong programming skills in Python, R, and Java required.
- Other info: Collaborate with top-tier clients and tackle mission-critical challenges in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
Galytix (GX) is delivering on the promise of AI.
GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.
GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.
As a Sr. Machine Learning Engineer, you will need to:
- Develop a state of the art data science and ML runtime stack in a multi-cloud environment.
- Lead on software engineering and software design for ML components.
- Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture.
- Manage the infrastructure and pipelines needed to bring models and code into production.
- Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
- Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production.
- Apply machine learning algorithms and libraries.
- Research and implement best practices to improve the existing machine learning infrastructure.
- Collaborate with data engineers, application programmers, and data scientists.
Desired skills:
- Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences.
- Self-starter with excellent communication and time management skills.
- Strong computer programming skills, with knowledge of Python, R, and Java.
- Experience scaling machine learning on data and compute grids.
- Proficiency with Kubernetes, Docker, Linux, and cloud computing.
- Experience with Dask, Airflow, and MLflow.
- MLOps, CI, Git, and Agile processes.
Why you do not want to miss this career opportunity?
- We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them.
- Customer-centric organisation with innovation at the core of everything we do.
- Capitalize on an unparalleled career progression opportunity.
- Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
- Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
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Sr. Machine Learning Engineer London, UK (London) employer: Galytix Limited
Contact Detail:
Galytix Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Machine Learning Engineer London, UK (London)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes, Docker, and cloud computing. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with professionals in the banking and insurance sectors who are already working with AI and machine learning. Attend industry meetups or webinars to gain insights and potentially get referrals that could help your application stand out.
✨Tip Number 3
Prepare to discuss your experience with scaling machine learning solutions and managing production pipelines. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Tip Number 4
Showcase your understanding of the financial industry by staying updated on current trends and challenges. This knowledge will not only help you in interviews but also demonstrate your genuine interest in the role and the company’s mission.
We think you need these skills to ace Sr. Machine Learning Engineer London, UK (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, software engineering, and any specific technologies mentioned in the job description, such as Python, R, and cloud computing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how your skills align with Galytix's mission. Mention specific projects or experiences that demonstrate your ability to develop scalable machine learning solutions.
Showcase Your Technical Skills: In your application, emphasise your proficiency with tools like Kubernetes, Docker, and MLflow. Provide examples of how you've used these technologies in past projects to solve complex problems.
Highlight Collaboration Experience: Since the role involves working with data engineers and scientists, include examples of successful collaborations in your application. This will show your ability to work effectively in a team environment.
How to prepare for a job interview at Galytix Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, R, and Java in detail. Highlight specific projects where you've applied machine learning algorithms and how you managed the infrastructure for those models.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Be ready to explain your thought process when tackling complex problems, especially those related to data structures and algorithms.
✨Understand the Company’s Mission
Research Galytix and their AI assistants thoroughly. Understand how they are revolutionising the banking and insurance industries, and be prepared to discuss how your skills can contribute to their mission.
✨Emphasise Collaboration Skills
Since the role involves working closely with data engineers and application programmers, be ready to share examples of successful collaborations from your past experiences. Highlight your communication skills and ability to work in a team.
