Head of Engineering - Bristol - £100K+

Adecco UK Limited
Bristol
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering & Governance

Head of Data Engineering & Governance

Head of Engineering - Bristol - £100K+

Company Overview

We are a leading innovator in cyber reinsurance, providing advanced analytics and underwriting solutions that redefine how cyber risk is understood and managed. Our lean, skilled team thrives on collaboration, especially between our data science and engineering teams, to drive forward-thinking solutions and industry advancements.

Job Description

We are looking for an experienced and hands-on Head of Engineering to lead and grow our 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 our cyber reinsurance platform while working closely with our data science and modelling teams.

Key Responsibilities

  • Platform Development: Oversee the design, architecture, and development of our cyber reinsurance platform, incorporating features such as:
    • Reinsurance submission ingestion
    • Policy administration
    • Cyber risk modeling (attritional & catastrophe)
    • Portfolio optimization
    • 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 modeling 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

  • Experience:
    • 10+ years in software engineering roles, focusing on data-intensive applications within the financial sector, including at least 5 years in leadership.
    • Preferable experience in the insurance industry.

  • Technical Expertise:
    • Strong command of Python and PySpark.
    • Skilled in high-performance computing, large-scale data engineering, and full-stack web development.
    • Proficient in machine learning and analytics applications.
    • Experience with cloud infrastructure (GCP, AWS, Azure), DevOps tools (Docker, Terraform, Kubernetes), and data lakehouses (e.g., Databricks).
    • Familiarity with CI/CD pipelines and automated testing frameworks.

  • Leadership Skills:
    • Proven track record in building, leading, and scaling high-performing engineering teams.
    • Demonstrated success in fostering collaboration between engineering and data science teams.

  • Hands-On Aptitude:
    • Ability and enthusiasm for direct coding and problem-solving.
    • Knowledgeable about modern development practices and tools.



Skills and Attributes

  • 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.



Head of Engineering - Bristol - £100K+

Head of Engineering - Bristol - £100K+

Head of Engineering - Bristol - £100K+

Head of Engineering - Bristol - £100K+

Head of Engineering - Bristol - £100K+

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Education

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

🍪 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.