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

Nominate & Attend

Python Engineer, Webscraper

Edinburgh
10 months ago
Applications closed

Related Jobs

View all jobs

LLM Engineer - 12 month contract - Fully remote

Technical Support Engineer - Graduate Considered

Software Engineer (C++/Python/Linux)

RF Data Scientist Research Engineer

Python Contractor

AI Engineer- 6 month contracting opportunity (Nanking/ Insurance Experience)

Overview

Ref:

Python Engineer, Webscraper

Hybrid Edinburgh

About:

Do you enjoy extracting effective data from the web then transforms it into usable formats? Are you passionate about ML and AI? Have you advanced Python skills? If so this exciting opportunity should be for you. This role will allow you to join a dynamic fintech company playing a crucial role in reshaping the norm.

Key Responsibilities:

Developing and implementing web scraping tools using Python and JavaScript.
Analysing website structures and data patterns to inform scraping strategies.
Writing efficient scripts designed to handle dynamic and complex content.
Designing extraction workflows to collect the targeted information.
Data sanitation and normalisation to feed Machine Learning.
Processing and formatting extracted data into practical, usable forms.
Performing data cleaning to ensure precision and uniformity.Essential Skills:

Advanced knowledge of Python
Working knowledge of Web scraping tools such as Beautiful Soup, Scrapy, ParseHub, OctoParse, Scraper API, Mozenda, Webhose.io, Content Grabber
Experience scraping large complex Data sets
Understanding technologies such as HTML CSS JavaScript
Exposure to manipulation libraries such as Pandas or NumPy
Working Knowledge of cloud platform such as AWS or AzureDesirable

Experience working a startup, understanding the fast-paced nature of it.
Familiarity with using python for asymmetric cryptography
Familiarity with using python for parallel processing
Exposure to Machine Learning.
Sanitising and normalising Data.Please note presence in the Edinburgh office on a regular basis is desired, therefore a reasonable commutable distance would be ideal

Reward

In return you will have the chance to work within a friendly and fast-paced business with excellent career progression plans, this is an outstanding opportunity to significantly progress your career.

Key skills

Software Engineer, Software Developer, Python, Java, JavaScript, HTML, CSS, Web scraping, Web crawling, Data extraction, Data transformation, Web scraping techniques, data parsing, CSV, Jason, Automation, Beautiful Soup, Scrapy, ParseHub, OctoParse, Scraper API, Mozenda, Webhose.io, Content Grabber Pandas, NumPy, SQL, NoSQL, AI, Machine Learning, AWS, Azure, GCP

Next Steps

Apply by contacting Gregor Brown (url removed)

Equal Opportunities

FPSG is committed to equal opportunities regardless of gender, race, disability, sexual orientation, religion or belief and age.

We are Disability Confident and neurodiverse aware. If you have a disability, please tell us if there are any reasonable adjustments we can make to assist you in your application or with your recruitment process

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.