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

Apply Now

Lead Python Engineer

Okta Resourcing
Edinburgh
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineering Lead - FinTech Unicorn - Up to £140k

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer...

This is an exceptional new position for a Lead Python Engineer with a global Data Analytics company who have developed an independent platform which provides both management and measurement of converged TV campaigns


This is a key position with impressive potential for growth and impact, where you will take an active role in architectural product design and development decisions. The person in this role will work daily with the most advanced technologies in software development, high scalability, and big data so they need an exceptional Software Engineering Team Leader to join them on their adventure and to guide and support their talented Engineers


You’ll be asked to:

  • Set the standard for your team by leading both technically and operatively.
  • Lead your team in an environment where there’s no code ownership and full-stack development is the norm and in alignment with a dynamic product roadmap.
  • Provide innovative solutions to complex business challenges.
  • Be able to be hands-on when needed and do code reviews with the team
  • Participate in designing and developing products and lead your team members in doing so.
  • Work with product managers to define, prioritise and finalise features.
  • Play a key role in the growth and advancement of your team members
  • Nurture a culture of engineering excellence with a focus on people, quality and inclusivity.


You should have experience of:

  • Python and/or JavaScript/Typescript or another Functional Language
  • Linux in a production environment – an advantage
  • Cloud technologies
  • SQL (advantageous)
  • Spark (advantageous)
  • Docker/Kubernetes – advantageous )
  • Developing online, cloud based SaaS products.
  • Leading and building scalable architectures and distributed systems
  • Working in an agile, lean software development environment


This is a pragmatic and humble organisation who are looking for like minded people to help them deliver their revolutionary technology.


In return for sharing your talent and dedication, they offer a Competitive salary, RSU’s, great benefits and annual leave together with a position of value within the organisation from day one, and the chance to have a key role in creating a product which will play a defining role in the continuously evolving converged TV sector.

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.