National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

C# Software Engineer

Aurum Search Limited
London
5 months ago
Applications closed

Related Jobs

View all jobs

Junior Embedded Software Engineer

Lead Python Software Engineer

Head of Engineering

Machine Learning Engineer - Up to £150k + Equity

Machine Learning Engineer - London

Machine Learning Engineer - Up to £150k + Equity

We are seeking an entrepreneurial, enthusiastic, and motivated Software Developer to join our technology team based in London. This role is ideal for individuals who thrive on direct business engagement, prioritize delivery, and excel under pressure. We embrace a flat organizational structure, empowering our engineers to collaborate directly with user groups to tackle challenges from the ground up. This approach fosters an iterative problem-solving dynamic between the business and engineering teams, enabling efficient and effective solutions.


The team collaborates closely with Traders, Quants, Treasury, Finance, Operations, and other development units within Technology. The primary responsibilities of this role encompass:


Ownership: As our firm expands into new asset classes, you will lead the development of new in-house systems to support this growth. This entails managing crucial stakeholder relationships with revenue-generating teams.


Requirements Gathering and Collaboration: Engage with business users to capture new requirements and collaborate on change projects. You will play a key role in capturing requirements from vital business units and conveying them to the development team.


Execution: Whether supporting existing infrastructure, maintaining software, or delivering new systems, execution is paramount. This position requires a hands-on approach, including writing and maintaining high-quality, testable code across various platforms and contributing to systems architecture.


Qualifications:


  • Proficiency in an object-oriented development environment (C#, .NET preferred).
  • Demonstrated experience in building software to support multiple asset classes, with specific knowledge in areas such as IRS, Govt Bonds, Floating Rates, Repo, Yield Curves, Swap Cash Flows, and OTC Products.
  • Proven track record of project ownership, from conception to production.
  • Experience collaborating closely with business teams to formulate requirements.
  • Strong performance tuning, query optimization, and database design skills.
  • Proficiency in SQL and data analysis, with experience in ETL and data loading approaches.
  • Knowledge of Python programming is advantageous.
  • Familiarity with modern hardware architectures and cloud infrastructure platforms.


Additional Desirable Skills or Experience:


  • Experience with stream processing technologies (Kafka, Flink).
  • Proficiency in other programming languages such as Java, Scala, or F#.
  • Knowledge of Kubernetes/OpenShift/Docker and helm templates.
  • Experience with web technologies (HTML, JavaScript Frameworks like Vue, React, Angular, CSS, LESS).
  • Exposure to big data processing and NoSQL technologies (e.g., Spark, Hadoop, Elasticsearch, Neo4j, Snowflake, AWS Redshift).
National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.