Software Engineer

Tangent International
London
4 weeks ago
Create job alert

Software Engineer required for a client of ours looking to hire for one of their teams that is developing an AI-first product to support commercial real estate investment decisions. Our application pulls data from a variety of sources, applies market-leading machine learning, and presents insights through innovative visualizations. After proving our product’s value as an internal tool, we were acquired to scale and service new clients.


We are looking for a talented software engineer to join our team in London, to help build exciting new features, support the commercialization of the product, and be an active partner in bringing digital innovation to commercial real estate. You will join an experienced, tight-knit team of software engineers, machine learning scientists, and UX & UI designers.


Required Qualifications:

  • Self-motivated, creative, inquisitive. Great attention to detail.
  • Good communication skills and a team player.
  • Proficient in Python: demonstrated experience working in teams of Python developers on large projects.
  • Solid understanding of algorithms and data structures.
  • Experience with building features using test-driven development.
  • Solid experience using Git for version control.
  • Solid grasp of data concepts (relational databases, data cleansing, validation).
  • Understanding of basic statistics.
  • Experience working with Agile methods based on fast iteration and validation cycles.

Ideal Attributes:

  • Experience with cloud platforms (e.g., AWS, Azure).
  • Broad understanding of Financial Services/Capital Markets/Asset Management.
  • Experience working with geospatial data.
  • Experience in feature engineering for Machine Learning applications.
  • Experience with data engineering frameworks.
  • Portfolio of past experience (e.g., demos of past work, contributions to open source, blogs, talks).

Technical Stack:

  • Data Pipeline Stack:Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2
  • Core API Stack:Python 3, Django 4
  • Infrastructure:AWS, EKS, Docker, ADO (for CI/CD pipelines, git hosting, ticket tracking)
  • Hardware:Mac, Linux


Apply now!

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer - C# / Design and Simulation

Software Team Manchester

Software Engineering Manager

Software Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.