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- Tasks: Lead AI projects, mentor engineers, and design impactful ML models.
- Company: BJAK is Southeast Asia's largest digital insurance platform, transforming financial access with AI.
- Benefits: Enjoy a competitive salary, remote work flexibility, and fast-track career growth.
- Why this job: Make a real-world impact while shaping the future of financial services in a collaborative culture.
- Qualifications: Bachelor's/Master's in Computer Science, 4-6 years in AI/ML, strong Python skills required.
- Other info: Join a dynamic team and lead innovative AI solutions from anywhere in the UK.
The predicted salary is between 48000 - 84000 £ per year.
Working Arrangement: United Kingdom (Remote – work from anywhere in the UK)
Shape AI That Powers the Future of Financial Access Across Southeast Asia
At BJAK, we\’re using AI to solve meaningful problems – from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We\’re looking for a Lead AI Engineer based in the UK to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.
This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You\’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.
Why This Role Matters
- You\’ll design and deploy core AI systems that serve millions across the region
- You\’ll be the right hand to the Head of AI – driving technical execution and engineering standards
- You\’ll lead and mentor junior engineers to elevate team performance and capabilities
- You\’ll play a critical role in hiring and scaling a high-performance AI team
What You\’ll Do
- Design, build, and ship production-grade ML models for high-impact use cases
- Lead model architecture, data pipeline design, and deployment strategies
- Collaborate across product, engineering, and data teams to drive AI initiatives
- Own the end-to-end ML lifecycle – from data prep to deployment and monitoring
- Review code, guide projects, and mentor engineers through technical challenges
- Champion experimentation, continuous learning, and AI best practices
- Interview and evaluate candidates, contributing to technical hiring and team building
- Stay ahead of ML advancements – and bring cutting-edge solutions into production
You\’ll Thrive Here If You…
- Lead from the front – you\’re hands-on in code, but always lifting others
- Think like an owner – you don\’t wait for permission to solve a problem
- Operate at speed and depth – you make fast, sound decisions that balance trade-offs
- Push for clarity – even in chaos, you bring structure, direction, and accountability
- Care about what ships – you focus on solving real-world problems, not just academic ones
- Grow the team, not just the tech – you enjoy mentoring, coaching, and seeing others win
- Adapt fast – priorities shift, ambiguity is the norm, and you navigate both with confidence
- Have a builder\’s mindset – fast prototypes, strong opinions, and a hunger to iterate
- Keep learning – you\’re constantly leveling up your technical, product, and leadership game
Requirements
- Bachelor\’s or Master\’s degree in Computer Science, Engineering, or a related field
- Strong proficiency in Python is a must
- 4-6 years of experience in AI/ML engineering with real-world deployment experience
- Deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoring
- Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)
- Track record of technical leadership and mentoring engineers
- Excellent communication and collaboration skills
- Must be based in the UK and open to working remotely with regional teams
Nice to Have
- Experience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)
- Familiarity with responsible AI practices (fairness, interpretability, model governance)
- Startup or scale-up environment experience
- Exposure to building internal tools, reusable ML components, or AI platforms
What You\’ll Get
- Competitive salary and performance-based bonuses
- Fully remote and flexible work arrangement from anywhere in the UK
- High ownership role with impact visible at a regional scale
- Direct reporting line to Head of AI with exposure to senior leadership
- Opportunity to lead and shape a growing AI engineering team
- Fast-track career growth and learning opportunities in a high-speed environment
- Collaborative, flat culture where ideas move fast and great work gets noticed
About BJAK
BJAK is Southeast Asia\’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we\’re building AI-driven systems that make complex financial services accessible, fast, and fair.
We believe in technology that moves fast and serves real needs – from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.
If you\’re ready to build, lead, and scale AI that matters – and want to grow with a company that thinks big and moves fast – we\’d love to hear from you.
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Lead AI Engineer (Remote) | London, UK employer: Bjak Sdn Bhd
Contact Detail:
Bjak Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer (Remote) | London, UK
✨Tip Number 1
Familiarise yourself with BJAK's mission and the specific AI challenges they are tackling in Southeast Asia. Understanding their focus on fraud detection and hyper-personalised financial experiences will help you align your skills and experiences with their needs during discussions.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've mentored junior engineers or led projects in the past. This role requires a hands-on leader, so be ready to discuss your approach to team building and technical guidance.
✨Tip Number 3
Stay updated on the latest advancements in machine learning and AI frameworks like TensorFlow and PyTorch. Being able to discuss recent developments or trends in these areas can demonstrate your commitment to continuous learning and innovation.
✨Tip Number 4
Prepare to discuss your experience with the end-to-end ML lifecycle, particularly in real-world applications. Be ready to share specific examples of how you've handled data pipelines, model deployment, and monitoring, as this is crucial for the role.
We think you need these skills to ace Lead AI Engineer (Remote) | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML engineering, particularly focusing on your proficiency in Python and any real-world deployment experience. Mention specific projects that align with BJAK's mission of using AI for financial access.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can solve meaningful problems in the financial sector. Highlight your leadership experience and mentoring skills, as these are crucial for the Lead AI Engineer role.
Showcase Technical Skills: Be explicit about your familiarity with ML frameworks like TensorFlow and PyTorch. If you have experience with MLOps tooling or responsible AI practices, make sure to include that as well, as it will strengthen your application.
Demonstrate Cultural Fit: BJAK values adaptability and a builder's mindset. In your application, provide examples of how you've thrived in fast-paced environments and how you've contributed to team growth and collaboration.
How to prepare for a job interview at Bjak Sdn Bhd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and ML frameworks like TensorFlow or PyTorch. Bring examples of production-grade models you've built, focusing on the end-to-end ML lifecycle.
✨Demonstrate Leadership Skills
Since this role involves mentoring junior engineers, share specific instances where you've led a team or guided others through technical challenges. Highlight your approach to fostering a collaborative environment.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to think critically and solve real-world problems. Be ready to discuss how you would approach AI challenges relevant to financial services, such as fraud detection or risk modelling.
✨Emphasise Adaptability and Continuous Learning
The company values adaptability in a fast-paced environment. Share examples of how you've navigated ambiguity and your commitment to staying updated with the latest advancements in AI and ML.
