Machine Learning Engineer

LondonWe create technologies that reshape the landscape of fund industry operations. Our transformative solutions optimize processes, enhance efficiency, reduce risks and drive cost savings for our clients. Driven by our commitment to innovation, our intelligence layer extracts invaluable insights, employs advanced pattern analysis, and uncovers hidden links within the data. Our SaaS platform seamlessly ingests diverse datasets, creating a harmonized and enriched source of portfolio data. This robust foundation fuels the platform to generate powerful signals through intelligent analytics, empowering use cases like NAV Oversight, Risk Oversight, Portfolio Manager Oversight, and ESG Analysis.

Moving at our pace brings a lot of change, complexity, and ambiguity. Before you apply, consider if you;

• Are an analytical thinker, able to bring critical thought and opinion in working with large amounts of data and detail without losing sight of the big picture
• Are able to take initiative in articulating complex concepts in a concise and clear manner
• Have high commitment to making an impact, adding value, and embracing continuous learning
• Care deeply about your contribution to disrupting financial technology as we know it

“Hello. I’m Nicolas, Head of Product here at Next Gate Tech and I'm looking for an ambitious Machine Learning Engineer to come join my team where you will be responsible for researching, implementing and maintaining our models that handle petabytes of data on a monthly basis. This includes working on the latest technologies to build models that will extract insights from our financial datasets or build valuable features to assist our users automate their processes"

Responsibilities include

• Apply critical thinking to improve and scale our SaaS product through advanced machine learning techniques

• Leverage expertise in large datasets to conduct cutting-edge research and develop data-driven features for our customers

• Employ an agile approach to create, design, build, and deploy solutions, with rigorous testing, while collaborating with NGT’s cross-functional teams

• Actively contribute to the company’s and team’s culture of continuous growth by collaborating, designing our technology and sharing new insights to build our solution

Qualifications

• Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field

• A minimum of 1 year of experience is required, with 3-7 years of experience in a large scale environment, designing and architecturing of ML systems and workflows

• Experience in tackling business challenges by translating them into machine learning and optimization problems, selecting the appropriate features, model structures, and optimization constraints, and ultimately delivering measurable business impact.

• Strong experience in scientific computing using Python with Scikit-Learn & PyTorch or Tensorflow

• Familiarity with modern software development practices, including version control, continuous integration, and other agile methodologies

• Strong interest in staying informed about current technologies, trends, and industry best practices, with the ability to identify those that should be implemented at NGT.

• Excellent communication abilities

• 26 vacation days + 1 birthday day + 1 duvet day, so you can truly recharge and enjoy life

• Comprehensive health and dental care coverage

• Central location for both offices with a fully stocked kitchen, including healthy snacks, and fresh fruit

• Freedom to create your own entrepreneurial experience by being part of a team in search of excellence

• Professional Development programs to expand your skills, and maximize your potential on the frontier of financial innovation

Next Gate Tech is an equal opportunity employer. We believe our team’s unique life experiences, backgrounds, cultures, beliefs and abilities add richness to our culture and depth to our ideas. Our ongoing commitment to diversity and inclusion creates an environment that supports, empowers and delivers a sense of belonging for all members of the team. Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs.