Software Engineer

Tangent International
London
10 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer III- Data Engineer, Java/Python

Software Engineer (AI & Machine Learning Focus)

Data Engineer - DV Cleared

Data Engineer - DV Cleared

Senior Machine Learning Engineer

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!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.