Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Python Engineer, Webscraper

Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Software Engineer - Python / AWS / MLOps

Lead Software Engineer - Python / AWS / MLOps

Senior Data Engineer (AI & MLOps, AWS, Python)

Data Scientist or AI/ML Engineer

Data Scientist or AI/ML Engineer

Computer Vision Engineer

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

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.