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- Tasks: Lead a team to build scalable AI systems and web applications using Python and TypeScript.
- Company: Join a top-rated AI-native startup backed by strong VC funding, focused on innovative technology.
- Benefits: Enjoy remote work flexibility, access to cutting-edge tech, and a collaborative environment.
- Why this job: Shape the future of intelligent software while working with top-tier talent in a dynamic setting.
- Qualifications: Strong leadership experience in AI/ML product companies and cloud infrastructure deployment required.
- Other info: Bonus points for MLOps exposure and experience with large-scale data engineering.
The predicted salary is between 43200 - 72000 £ per year.
Better Placed Ltd – A Sunday Times Top 10 Employer! provided pay range This range is provided by Better Placed Ltd – A Sunday Times Top 10 Employer!. Direct message the job poster from Better Placed Ltd – A Sunday Times Top 10 Employer! Director | Co-Founder @ Better Placed Tech + UK AI Meetup. Trusted AI Talent Partner – from disruptive startups to enterprise leaders. Director of Software Engineering – AI Native Start-up UK – Remote My client is a fast-growing AI-native startup focused on building scalable agent-based systems and LLM-powered applications for enterprise customers. Backed by strong VC funding and already working with enterprise organisations, they’re now looking for a Director of Software Engineering to help scale their engineering function in the UK as they move from early traction to broader market adoption. This is a hands-on leadership role where you’ll guide the engineering team in building production-ready AI systems—balancing speed, reliability, and scalability. You’ll work closely with research teams to deploy language models into production, shape technical architecture across cloud infrastructure and application layers, and lead on engineering hiring and culture as the team grows. Lead the design and development of interactive, scalable agent-based systems and web applications using modern languages like Python and TypeScript . Oversee the build and maintenance of server-side APIs and orchestration layers , ensuring smooth integration between frontend apps, backend services, and AI/ML components. Work closely with internal AI research teams to productionise LLMs , focusing on performance, scalability, and reliability . Drive the development of data generation and testing pipelines to ensure the quality and robustness of deployed models. Architect, deploy, and maintain cloud infrastructure (AWS, GCP, or Azure) to support both web applications and machine learning operations (MLOps) . Foster engineering best practices around code quality, testing, documentation, and DevOps . Strong technical leadership experience (Head / Director level), ideally within AI-first or ML-focused product companies . Experience in cloud infrastructure deployment (AWS / GCP / Azure) and containerisation/orchestration (Docker / Kubernetes). Comfortable working with or around machine learning pipelines , even if not directly training models. Experience building and scaling production-grade AI-powered products . Strong collaborator, with a track record of working closely with AI research, product, and infrastructure teams . Bonus Points: Exposure to MLOps , AI observability , or LLM deployment at scale . Experience with data engineering for large-scale pipelines . AI-native mission: Shape the next generation of intelligent, agent-based software products. Access to high-performance compute (dedicated GPU clusters) and modern infrastructure. Collaborative, research-driven environment, blending strong engineering rigour with cutting-edge AI experimentation. Remote-first with optional London hub. Employment type Full-time Job function Information Technology and Engineering Industries Software Development and IT System Custom Software Development Referrals increase your chances of interviewing at Better Placed Ltd – A Sunday Times Top 10 Employer! Get notified about new Director of Software Engineering jobs in London Area, United Kingdom . SVP, Software Engineering Manager – Risk Technology Director of Technology & Engineering – Digital Ecommerce Product Company Director of Data Platforms & Engineering Investment VP / Director / Partner – Software Private Equity Buy-Out – London Director of Software Engineering C++ Trading Engineering Director, GTPN Platform (Relocate to China) Technical Director (Structural Engineering) Engineering Director (Relocation to Prague, CZ) Director of Software Engineering – Credit Real-time Risk We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #
Head of Software Engineering - Front End employer: Better Placed Ltd - A Sunday Times Top 10 Employer!
Contact Detail:
Better Placed Ltd - A Sunday Times Top 10 Employer! Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Software Engineering - Front End
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in relation to scalable agent-based systems. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and software engineering sectors. Attend relevant meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Showcase your leadership experience by discussing specific projects where you led a team to success. Be prepared to share examples of how you fostered collaboration and best practices within your previous roles.
✨Tip Number 4
Research the company's current projects and technologies they are using. Being knowledgeable about their work will allow you to ask informed questions during the interview, showing your genuine interest in the role and the company.
We think you need these skills to ace Head of Software Engineering - Front End
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with AI and machine learning. Emphasise your leadership roles and any hands-on experience with technologies like Python, TypeScript, and cloud infrastructure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's mission. Mention specific projects where you've led teams to build scalable applications and your experience with MLOps or cloud deployment.
Showcase Technical Skills: Include a section in your application that lists your technical skills, especially those mentioned in the job description such as Docker, Kubernetes, and cloud platforms like AWS, GCP, or Azure. This will help demonstrate your fit for the role.
Highlight Collaboration Experience: Since the role involves working closely with research and product teams, provide examples of past collaborations. Detail how you’ve successfully worked with cross-functional teams to deliver projects, focusing on communication and teamwork.
How to prepare for a job interview at Better Placed Ltd - A Sunday Times Top 10 Employer!
✨Showcase Your Technical Expertise
As a Head of Software Engineering, you'll need to demonstrate your deep understanding of modern programming languages like Python and TypeScript. Be prepared to discuss your experience with cloud infrastructure and how you've successfully deployed scalable AI systems in the past.
✨Highlight Leadership Experience
This role requires strong technical leadership. Share specific examples of how you've led engineering teams, fostered a positive culture, and implemented best practices in code quality and DevOps. Your ability to inspire and guide a team will be crucial.
✨Discuss Collaboration with AI Teams
Collaboration is key in this position. Be ready to talk about your experience working closely with AI research teams and how you've integrated their findings into production-ready applications. Highlight any successful projects that involved cross-functional teamwork.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in scaling AI products or managing cloud infrastructure, and prepare to explain your thought process and solutions.
