Lead AI Engineer (Remote)
Lead AI Engineer (Remote)

Lead AI Engineer (Remote)

Full-Time 43200 - 72000 £ / year (est.) Home office possible
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At a Glance

  • 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 leading a dynamic AI team 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 us to reshape financial services across Asia with cutting-edge technology.

The predicted salary is between 43200 - 72000 £ 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
  • 4-6 years of experience in AI/ML engineering with real-world deployment experience
  • Strong Python skills and 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. #J-18808-Ljbffr

Lead AI Engineer (Remote) employer: Bjak Sdn Bhd

At BJAK, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Lead AI Engineer, you'll enjoy the flexibility of remote work from anywhere in the UK while having the opportunity to make a significant impact on financial access across Southeast Asia. With a focus on mentorship, career growth, and a high-ownership role, you'll thrive in an environment that values your contributions and encourages continuous learning.
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Contact Detail:

Bjak Sdn Bhd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Engineer (Remote)

✨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 technologies. Being able to discuss recent trends or breakthroughs can demonstrate your commitment to continuous learning and innovation, which is highly valued in this role.

✨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 these are crucial aspects of the position.

We think you need these skills to ace Lead AI Engineer (Remote)

Strong Python programming skills
Deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
End-to-end ML lifecycle understanding
Data pipeline design and implementation
Model architecture and deployment strategies
Experience in applied AI problems (e.g., recommendation systems, fraud detection, risk modelling, NLP)
Technical leadership and mentoring capabilities
Excellent communication and collaboration skills
Experience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)
Familiarity with responsible AI practices (fairness, interpretability, model governance)
Ability to work in a startup or scale-up environment
Experience in building internal tools or reusable ML components

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML engineering, particularly any hands-on leadership roles. Emphasise your technical skills in Python and familiarity with ML frameworks like TensorFlow or PyTorch.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can solve real-world problems. Mention specific projects you've worked on that align with BJAK's mission of enhancing financial access through AI.

Showcase Leadership Experience: Detail your experience in mentoring and leading teams. Provide examples of how you've elevated team performance and contributed to hiring processes, as this role requires strong leadership capabilities.

Highlight Continuous Learning: Mention any recent courses, certifications, or projects that demonstrate your commitment to staying updated with the latest advancements in AI and ML. This shows your dedication to personal and professional growth.

How to prepare for a job interview at Bjak Sdn Bhd

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with AI/ML engineering in detail. Highlight specific projects where you've designed and deployed production-grade ML models, and be ready to explain the challenges you faced and how you overcame them.

✨Demonstrate Leadership Skills

Since this role involves mentoring junior engineers and leading a team, share examples of how you've successfully guided others in previous positions. Discuss your approach to fostering a collaborative environment and driving team performance.

✨Understand the Company’s Mission

Research BJAK and its mission to improve financial access across Southeast Asia. Be ready to articulate how your skills and experiences align with their goals, particularly in relation to solving real-world problems through AI.

✨Prepare for Technical Questions

Expect to face technical questions related to Python, ML frameworks, and the end-to-end ML lifecycle. Brush up on your knowledge of data pipelines, model architecture, and deployment strategies to confidently answer any queries.

Lead AI Engineer (Remote)
Bjak Sdn Bhd
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  • Lead AI Engineer (Remote)

    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-09-02

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    Bjak Sdn Bhd

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