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

Apply Now

Python Developer - Digital Transformation Team

Clerkenwell
8 months ago
Applications closed

Related Jobs

View all jobs

Data Science & Prototyping Developer - tech

C++ Quantitative Developer - Machine Learning

Data Science & Prototyping Developer - Tech

Senior Data Engineer

Data Science & Prototyping Developer

Data Science & Prototyping Developer...

Job Title: Python Developer - Digital Transformation Team

Location: London, City / Hybrid

Job Type: Full-time

About Us:

A leading professional services organisation is seeking a skilled Python Developer to join their Digital Transformation team. As a key player in the development of innovative products, you will contribute to revolutionising the way auditors and accountants work. With a focus on automation, data-driven insights, and analytics, this role offers a unique opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists.

About the Role:

As a Python Developer, you will be responsible for accelerating the creation of our core product suite, automating repetitive tasks, and enabling accountants to focus on high-value work. This position provides a chance to work on a wide range of technologies, including frontend interfaces, backend API layers, and analytics/data processing engines. You will lead projects independently, mentor junior developers, and solve complex challenges related to data and presentation in accountancy.

Key Responsibilities:

  • Collaborate with a small team of developers on daily code reviews and merge requests
  • Develop across the entire product stack, including frontend, backend, and analytics/data processing engine
  • Lead projects independently, from requirements gathering through to deployment
  • Mentor junior developers to support their technical growth
  • Solve complex challenges related to data and presentation in accountancy

    Essential Skills & Expertise:

  • At least 3 years of experience as a full-stack developer, delivering robust production-ready solutions
  • Proficiency in Python, Django, JavaScript, React, Next.js, and Git
  • Comfortable working with Python and JavaScript professionally, with experience in Django and React
  • Ability to build data-intensive applications and manage complex backend logic, including external API integrations
  • Experience in creating responsive user interfaces that function across browsers and mobile devices
  • Capable of working independently and taking ownership of technical projects
  • Strong analytical skills and problem-solving abilities
  • Effective time management and prioritisation skills under tight deadlines

    What We Offer:

  • Opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists
  • Chance to work on a wide range of technologies and contribute to the development of innovative products
  • Professional development through paid courses, on-the-job mentoring, and opportunities to attend relevant meetups and industry events
  • Collaborative and innovative work environment with a professional yet relaxed culture

    Keywords: Python Developer, Digital Transformation, Full-stack Developer, Python, Django, JavaScript, React, Next.js, Git, Data-intensive Applications, Backend Logic, API Integrations, User Interfaces, Responsive Design, Autonomous Team, Mentorship, Professional Development, Innovative Products, Accountancy, Auditing, Finance

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.