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

Apply Now

Head of Engineering (Python, Databricks, Pyspark /Pandas, HPC)

Bristol
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Lead Full-stack Data Scientist

Food Technology Teacher / Instructor

IT Teacher

Job Title: Head of Engineering £100,000 - £120,000
Location: Bristol, UK (Hybrid)
Company Overview for Head of Engineering
My client is a leading Insurtech specialising in cyber reinsurance, providing advanced analytic's and underwriting solutions that redefine how cyber risk is understood and managed. Their lean, skilled team thrives on collaboration, especially between their data science and engineering teams, to drive forward-thinking solutions and industry advancements.
Job Description for Head of Engineering
You will be an experienced and hands-on Head of Engineering to lead and grow the engineering team in Bristol. This is a strategic and technical leadership role that requires over 10 years of industry experience in building data-intensive applications within the financial sector, with a preference for experience in insurance. In this role, you will play a critical part in developing and scaling their cyber reinsurance platform while working closely with their data science and modelling teams.
Key Responsibilities for Head of Engineering

  • Platform Development: Oversee the design, architecture, and development of our cyber reinsurance platform, incorporating features such as:
    o Reinsurance submission ingestion
    o Policy administration
    o Cyber risk modelling (attritional & catastrophe)
    o Portfolio optimization
    o Comprehensive reporting (exposure management, capital management, threat intelligence, large risk tracking, and clash analysis)
  • Team Leadership: Manage and grow a full-stack engineering team with expertise in high-performance computing (HPC), large-scale data engineering, and web development.
  • Cross-Functional Collaboration: Partner with data science and modelling teams to ensure seamless integration of analytical models into the platform.
  • Strategic Scaling: Develop strategies to expand the platform across additional business lines.
  • Hands-On Contribution: Actively engage with the codebase and tackle technical challenges, providing guidance and mentorship to the engineering team.
    Qualifications for Head of Engineering
  • Experience:
    o 10+ years in software engineering roles, focusing on data-intensive applications within the financial sector, including at least 5 years in leadership.
    o Preferable experience in the insurance industry.
  • Technical Expertise:
    o Strong command of Python and PySpark.
    o Skilled in high-performance computing, large-scale data engineering, and full-stack web development.
    o Proficient in machine learning and analytics applications.
    o Experience with cloud infrastructure (GCP, AWS, Azure), DevOps tools (Docker, Terraform, Kubernetes), and data lakehouses (e.g., Databricks).
    o Familiarity with CI/CD pipelines and automated testing frameworks.
  • Leadership Skills:
    o Proven track record in building, leading, and scaling high-performing engineering teams.
    o Demonstrated success in fostering collaboration between engineering and data science teams.
  • Hands-On Aptitude:
    o Ability and enthusiasm for direct coding and problem-solving.
    o Knowledgeable about modern development practices and tools.
    Skills and Attributes for Head of Engineering
  • Strategic Mindset: Aligns engineering initiatives with business goals.
  • Excellent Communicator: Effectively conveys technical concepts to diverse stakeholders.
  • Innovative: Enthusiastic about emerging technologies and industry trends.
  • Analytical Problem Solver: Strong critical thinking skills to navigate complex technical issues.
  • Collaborative Leader: Dedicated to creating an inclusive and cooperative team culture.
    How to apply for Head of Engineering
    Please apply by following the links below

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.