Software Engineer

Indeximate
Nottingham
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Large Language Models

Software Engineer - Large Language Models

Software Engineer - Large Language Models

Software Engineer - Large Language Models

Software Engineer - Large Language Models

Software Engineer - Large Language Models

Indeximate

Indeximate is a rapidly growing VC backed startup focussed on reducing the barriers to net zero using the fantastic wealth of data that can be obtained using fibre optic sensing. We are permanently instrumenting subsea power cables that provide us with our vital electricity supplies and are using this data to reduce the risks of these cables failing.


Our data has a myriad of other uses: monitoring the environment and the weather, mobility of the seabed, tracking marine mammals, detecting vessels and much more. One of our our core goals is liberating these multiple measurements and delivering low cost sensing as a service direct to the desktop. Our existing IP in data compression and analysis is the foundation of this wide future - we are looking for candidates to help us rapidly grow this vision.


What are the role responsibilities?

This role requires a candidate to work on the cloud software infrastructure to process the uploaded data and turn it into actionable information for clients. This includes implementing algorithms to process the data in the cloud and present the information to the client via a web based GUI. Our targeted deployment environments are Google's Cloud Platform, utilising BigQuery and CloudRun.


Key Accountabilities

·         Development and delivery of client facing GUI for cable health assessment from end user proof of concept (current stage) to launched product

·         Development of scalable cloud-based implementations of cable health risk algorithms

·         Development of system monitoring and alerting for internal purposes

·         Ensure web security protocols are implemented and tightly adhered to

·         Testing of algorithm implementations against test datasets


Your Experience & Qualifications

You will be a UK citizen holding a graduate or extended degree in a relevant subject (Computer Science, Data science, Software Engineering, etc) and have cemented those qualifications with at least three years or more of experience post degree working in a commercial cloud computing environment, exploiting Python and working with large scientific datasets.

      

We welcome applications from part time and full time workers. The role will involve regular low frequency travel.


Your Skills

We are a cloud based data science company and this role is at the deep end of that experience and we expect that candidates will have a clearly evident skillset in implementing cloud based solutions, in addition we'd love to hear from candidates with:


·         Ability to implement cloud based analytics solutions (Google BigQuery preferred) (essential)

·         Skilled in data science computing and cloud computing integration (essential)

·         Mastery of web GUI design and implementation including user management and security

·         Demonstrable knowledge of key cloud security requirements and protocol implementation

·         Ability to assess and integrate new technologies

·         Self-motivated with a desire to improve products and technology

·         Ability to work independently as well as within a small team

·         Rigorous approach to testing and code quality

·         Comfortable with remote working


Apply directly to express your interest! We look forward to hearing from you. Apply directly in LinnkedIn and send a covering letter to

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

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

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.