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

Apply Now

Lead Developer

Eames Consulting
London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Data Scientist / Model Developer - Commercial Lending

Lead Machine Learning Engineer

Lead Data Scientist

Computer Vision Tech Lead

Staff Machine Learning Engineer - Autonomy

Lead Developer

London / Hybrid

£100-110k + Bonus

We are at the forefront of innovation in the insurance industry. Our mission is to provide our clients with cutting-edge solutions that streamline processes, enhance customer experiences, and deliver superior value. We are looking for a Lead Developer to join our team to deliver on projects for our Underwriting platform.

You will play a crucial role in designing, developing, and maintaining high-quality software solutions. Your primary focus will be on leveraging Azure, .NET, Python, and Databricks to build robust and scalable applications. You will collaborate with cross-functional teams to understand business requirements and deliver solutions that meet the needs of our clients in the insurance sector.

This role sits within the Catastrophe Modelling team where we are building out our software capabilities. Experience in this field is advantageous but not a requirement.

Key Responsibilities:

  • Design, develop, and implement software applications using Azure, .NET, Python, and Databricks.
  • Collaborate with stakeholders to gather and analyze requirements, providing technical insights and recommendations.
  • Develop and maintain APIs, microservices, and integration solutions.
  • Optimize and enhance existing applications for performance, scalability, and security.
  • Participate in code reviews, providing constructive feedback to team members.
  • Mentor junior developers, fostering a culture of continuous learning and improvement.
  • Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Strong experience in software development, with a focus on Azure, .NET, Python, and Databricks.
  • Proven experience in the insurance industry or a deep understanding of insurance-related processes and requirements.
  • Strong knowledge of cloud computing principles and experience with Azure services.
  • Proficiency in .NET framework and C# programming.
  • Solid experience with Python for data processing and automation tasks.
  • Hands-on experience with Databricks for big data processing and analytics.
  • Excellent problem-solving skills and a keen attention to detail.
  • Strong communication skills and the ability to work effectively in a team-oriented environment.

Preferred Qualifications:

  • Experience with Agile/Scrum methodologies.
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Knowledge of data science and machine learning concepts.
  • Experience with other cloud platforms and technologies.

What We Offer:

  • Salary between £100-110k
  • Competitive bonus
  • Competitve pension
  • Enhanced private healthcare
  • Hybrid work - 2/3 times a week in central london office

Eames Consulting is acting as an Employment Agency in relation to this vacancy.

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.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.