Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to build cutting-edge AI systems and applications.
- Company: Join a fast-growing AI-native startup backed by top investors.
- Benefits: Enjoy remote work flexibility and access to high-performance tech resources.
- Why this job: Shape the future of intelligent software in a collaborative, innovative environment.
- Qualifications: Strong leadership in AI/ML, cloud infrastructure, and production-grade product development required.
- Other info: Be part of a culture that values engineering excellence and AI experimentation.
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!. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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. Deep expertise…
Director of Software Engineering –
AI Native Start-up
UK – Remote
The Business
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.
The Opportunity:
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.
Responsibilities:
- 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) .
- Ensure high availability, scalability, and security of deployed systems, meeting the expectations of enterprise customers.
- Foster engineering best practices around code quality, testing, documentation, and DevOps .
Ideal Background:
- 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 .
- Prior background in enterprise SaaS or developer tools .
Why Join:
- AI-native mission: Shape the next generation of intelligent, agent-based software products.
- Strong funding: Backed by leading investors with solid runway.
- Technical resources: Access to high-performance compute (dedicated GPU clusters) and modern infrastructure.
- Culture: Collaborative, research-driven environment, blending strong engineering rigour with cutting-edge AI experimentation.
- Flexibility: Remote-first with optional London hub.
For a confidential discussion please apply with an up to date CV
Seniority level
-
Seniority level
Director
Employment type
-
Employment type
Full-time
Job function
-
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! by 2x
Get notified about new Director of Software Engineering jobs in London Area, United Kingdom .
London, England, United Kingdom 2 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
Greater London, England, United Kingdom 6 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 months ago
Greater London, England, United Kingdom 1 week ago
SVP, Software Engineering Manager – Risk Technology
London, England, United Kingdom 1 week ago
Greater London, England, United Kingdom 2 weeks ago
Director of Technology & Engineering – Digital Ecommerce Product Company
London, England, United Kingdom 1 day ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 2 months ago
Director of Data Platforms & Engineering
London, England, United Kingdom 6 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 6 days ago
Investment VP / Director / Partner – Software Private Equity Buy-Out – London
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 3 days ago
London, England, United Kingdom 1 week ago
Director of Software Engineering C++ Trading
London, England, United Kingdom 7 hours ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 6 days ago
London, England, United Kingdom 2 weeks ago
Engineering Director, GTPN Platform (Relocate to China)
London, England, United Kingdom 1 week ago
Technical Director (Structural Engineering)
London, England, United Kingdom 1 week ago
Engineering Director (Relocation to Prague, CZ)
London, England, United Kingdom 3 days ago
Director of Software Engineering – Credit Real-time Risk
London, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Director of Software Engineering (London) 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 Director of Software Engineering (London)
✨Tip Number 1
Network with professionals in the AI and software engineering fields. Attend meetups, webinars, or conferences where you can connect with people who work at AI-native startups or similar companies. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your leadership experience by discussing specific projects where you led teams to success. Prepare examples that highlight your ability to balance speed, reliability, and scalability in software development, as these are key aspects of the role.
✨Tip Number 3
Familiarise yourself with the latest trends in AI and machine learning, especially around LLMs and MLOps. Being able to discuss current technologies and methodologies will demonstrate your passion and knowledge during interviews.
✨Tip Number 4
Prepare to discuss your experience with cloud infrastructure and containerisation. Be ready to explain how you've architected and maintained systems in AWS, GCP, or Azure, as this is crucial for the role and will set you apart from other candidates.
We think you need these skills to ace Director of Software Engineering (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly in AI and cloud infrastructure. Emphasise leadership roles and any hands-on experience with Python, TypeScript, and MLOps.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your vision for leading an engineering team. Mention specific projects or achievements that align with the responsibilities outlined in the job description.
Highlight Collaboration Skills: Since the role involves working closely with research teams, emphasise your collaboration skills. Provide examples of how you've successfully worked with cross-functional teams in previous roles.
Showcase Technical Expertise: Detail your experience with cloud platforms (AWS, GCP, Azure) and containerisation tools (Docker, Kubernetes). Include any relevant certifications or training that demonstrate your technical proficiency.
How to prepare for a job interview at Better Placed Ltd - A Sunday Times Top 10 Employer!
✨Showcase Your Technical Leadership
As a Director of Software Engineering, it's crucial to demonstrate your technical leadership experience. Be prepared to discuss specific examples where you've led teams in building scalable AI systems or applications, and how you balanced speed, reliability, and scalability.
✨Familiarise Yourself with AI and ML Concepts
Since the role involves working closely with AI research teams, brush up on your knowledge of machine learning pipelines and LLM deployment. Being able to speak confidently about these topics will show your understanding of the field and your ability to collaborate effectively.
✨Discuss Cloud Infrastructure Experience
Make sure to highlight your experience with cloud infrastructure deployment, particularly with AWS, GCP, or Azure. Prepare to discuss any projects where you've architected or maintained cloud solutions, as this is a key aspect of the role.
✨Emphasise Collaboration Skills
The ideal candidate will have a strong track record of collaboration. Be ready to share examples of how you've worked with cross-functional teams, especially in integrating AI components with frontend and backend services. This will demonstrate your ability to foster a collaborative engineering culture.
