Technical Director in London

Technical Director in London

London Full-Time 100000 - 130000 £ / year (est.) No working from home possible
EveryMatrix

At a Glance

  • Tasks: Lead the tech vision for AI-driven products and innovate in machine learning.
  • Company: Join EveryMatrix, a leading B2B SaaS provider in the iGaming industry.
  • Benefits: Enjoy competitive leave, hybrid work options, and private healthcare.
  • Other info: Be part of a supportive culture focused on innovation and continuous improvement.
  • Why this job: Make a real impact in AI technology while working with passionate teams.
  • Qualifications: 10+ years in software engineering with strong leadership experience.

The predicted salary is between 100000 - 130000 £ per year.

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're united by our love for innovation and teamwork. We are looking for a hands-on, forward-thinking Chief Technology Officer (CTO) to lead the technology vision and execution for one of our divisions, with a strong focus on AI-driven products.

This role will own the evolution of our AI-powered customer platform and drive the next generation of machine learning, automation, and data-driven capabilities. As a key member of the team, the CTO will work closely with Product, Data, and Business stakeholders to scale innovation, ensure operational excellence, and unlock new value through AI.

What You’ll Own:

  • Define and execute the division’s technology roadmap, with a strong emphasis on AI, ML, and data platforms.
  • Drive innovation in AI-powered customer capabilities (e.g., personalization, predictive analytics, automation).
  • Evaluate and integrate emerging technologies (LLMs, generative AI, real-time decisioning systems) into the product ecosystem.
  • Align technical strategy with business objectives and customer value.

Product & Platform Ownership

  • Own the architecture, scalability, and reliability of the AI-driven customer platform.
  • Ensure high availability, performance, and accuracy of ML models in production.
  • Balance experimentation with production stability.
  • Lead cross-functional teams across engineering, data science, and ML engineering.
  • Establish best practices for AI development, including model validation, monitoring, and retraining.
  • Drive adoption of modern engineering standards (CI/CD, DevOps, automated testing).
  • Ensure seamless collaboration between data, product, and engineering teams.

Operational Excellence

  • Oversee production environments, ensuring resilience, uptime, and efficient incident management.
  • Optimize infrastructure costs while maintaining scalability.
  • Improve deployment cycles for both software and ML models.

Governance, Security & Responsible AI

  • Ensure compliance with data privacy regulations and AI governance standards.
  • Establish frameworks for ethical AI use, explainability, and bias mitigation.
  • Partner with Legal and Compliance on data usage and model accountability.
  • Maintain robust security practices across data and infrastructure layers.
  • Build and scale high-performing teams in engineering, AI, and data.
  • Act as a bridge between technical and non-technical stakeholders.
  • Collaborate closely with Group CTO, other divisions, and shared services.
  • Foster a culture of innovation, ownership, and continuous improvement.

What We’re Looking For:

Experience & Qualifications

  • 10+ years in software engineering, with at least 5+ years in senior technical leadership roles.
  • Proven experience building and scaling AI/ML-powered products in production.
  • Strong background in data platforms, distributed systems, and cloud infrastructure.
  • Track record of leading cross-functional teams (engineering, data science, product).

Skills & Attributes

  • Deep understanding of AI/ML technologies (predictive models, NLP, recommender systems, or similar).
  • Strong architectural thinking with a pragmatic, hands-on approach.
  • Ability to balance innovation with operational reliability.
  • Excellent communication and stakeholder management skills.
  • Curious, adaptable, and driven by solving complex problems with data and AI.

Nice to Have

  • Experience with AI-driven CRM, marketing automation, or customer engagement platforms.
  • Familiarity with LLMs, generative AI, or conversational systems.
  • Exposure to regulated environments (data privacy, security, compliance).

Here's What We Offer:

  • Start with a competitive number of annual leave days, increasing as you grow with us.
  • Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
  • Private Medical Healthcare paid by the Company, with an ability to add dependants.
  • 3 additional annual sick leave days beyond the legal requirement, with no medical certificate needed for these days.
  • Benefit from two Free Fridays each year, limited to one per quarter.
  • Access to an Employee Assistance Program through TELUS Health.
  • Parental Support: Additional paid leave to support new parents, with options tailored for maternity and paternity.
  • Flexible remote work opportunities during the first months of parenthood.

Benefits and Perks:

  • Monthly lunch allowance.
  • Access to leading online learning platforms (such as LinkedIn Learning and Udemy for Business), plus an annual budget for external courses or certifications.

At EveryMatrix, we’re committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Technical Director in London employer: EveryMatrix

EveryMatrix is an exceptional employer that prioritises innovation and teamwork, offering a dynamic work culture where employees can thrive. With a strong focus on AI-driven products, the company provides ample opportunities for professional growth through access to leading online learning platforms and a supportive environment that encourages continuous improvement. Located in a vibrant industry, EveryMatrix also offers competitive benefits, including flexible working arrangements and additional parental support, making it an attractive place for those seeking meaningful and rewarding employment.

EveryMatrix

Contact Details:

EveryMatrix Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical Director in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to AI and ML. This gives you a chance to demonstrate your expertise and passion beyond just a CV.

Tip Number 3

Prepare for interviews by researching the company and its tech stack. Be ready to discuss how your experience aligns with their goals, especially around AI-driven products. Tailor your answers to show you’re the perfect fit for their team.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team at EveryMatrix.

We think you need these skills to ace Technical Director in London

AI/ML Technologies
Data Platforms
Distributed Systems
Cloud Infrastructure
Architectural Thinking
Cross-Functional Team Leadership
Communication Skills

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Technical Director role. Highlight your experience with AI and ML, as well as your leadership skills. We want to see how you can bring innovation to our team!

Showcase Your Achievements:Don’t just list your responsibilities; share specific examples of your successes in previous roles. Whether it’s a project you led or a technology you implemented, we love to see how you’ve made an impact!

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant to the role. We appreciate clarity and want to understand your qualifications quickly!

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at EveryMatrix

Know Your AI Inside Out

As a Technical Director, you'll need to demonstrate a deep understanding of AI and ML technologies. Brush up on the latest trends, tools, and frameworks in AI-driven products. Be ready to discuss how you've implemented these technologies in past roles and how they can be leveraged at EveryMatrix.

Showcase Your Leadership Skills

This role requires strong leadership capabilities. Prepare examples of how you've successfully led cross-functional teams in the past. Highlight your experience in balancing innovation with operational reliability, and be ready to discuss how you foster collaboration between technical and non-technical stakeholders.

Align with Business Objectives

Understand EveryMatrix's business goals and how the technology roadmap aligns with them. Be prepared to discuss how you would ensure that the technical strategy not only meets customer needs but also drives value for the business. This shows you're not just a techie, but someone who thinks strategically.

Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about challenges you've faced in previous roles, particularly around AI implementation and operational excellence. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.