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

Apply Now

Contract Python/Data Engineer

Oliver Bernard
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

AWS Data Engineer: PySpark + Python Cloud Pipelines

AWS Data Engineer

Data Engineer

Data Engineers with DV Clearance (Developed Vetting)

Data Engineer – 12 Month Fixed-Term Contract

Location: London, EC3V 1LT

Working Arrangements: Hybrid, 2-3 days p/w in office

Daily Rate: £650p/d Inside IR35

Industry: Insurance

Tech Stack: Databricks, Python, SQL, Spark, Azure 👩🏻‍💻


Great opportunity for a talented Engineer (Databricks, SQL, Spark, Azure) to join a market leading cyber insurance company.


The Company🚀


Tech driven insurance business that are expanding into emerging risk markets including terrorism and kidnap/ransom. They are trusted by over 100,000 business around the world to provide unique, competitive and secure insurance packages.


The Role


They are seeking a highly pragmatic Engineer (Databricks, SQL, Spark, Azure) to help the expansion of their new data platform.


You (Databricks, SQL, Spark, Azure) will work closely with Architects, Data Scientist and Software Engineers across the business.


Desired Skills⚙️


  • Databricks
  • Python
  • SQL (SQL Server, Azure SQL)
  • Spark
  • Azure


If you are a skilled engineer (Databricks, SQL, Spark, Azure) who is interested in this role then please apply below and I will be in touch with more details.

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.