Lead AI Engineer

Bjak Sdn Bhd; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading digital insurance platform in the United Kingdom is seeking a Lead AI Engineer to design and deploy core AI systems for millions of users. The ideal candidate will have strong Python proficiency, over 4 years of experience in AI/ML engineering, and deep expertise with ML frameworks. This role involves mentorship, technical leadership, and collaboration across teams to drive AI initiatives. Offering a remote-first work culture with high ownership and visibility, this position supports meaningful impact in financial access.

Benefits

Competitive salary

Performance bonuses

Remote-first work culture

Fast career growth

Qualifications

• Over 4 years of AI/ML engineering experience with real-world deployment.
• Deep expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP).
• Comfortable working remotely with distributed teams across time zones.

Responsibilities

• Lead model architecture decisions, data pipeline design, and deployment strategies.
• Collaborate across product, engineering, and data teams to drive AI initiatives.
• Own the full ML lifecycle: data preparation, training, validation, deployment, monitoring.
• Mentor engineers and promote experimentation and learning.

Skills

Python proficiency

AI/ML engineering

Technical leadership

Collaboration skills

Problem-solving skills

Mentoring

Adaptability

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

MLOps tools (MLflow, Airflow, Docker, GCP/AWS)

Job description

Lead AI Engineer

ML models for high-impact use cases

Lead model architecture decisions, data pipeline design, and deployment strategies. Collaborate across product, engineering, and data teams to drive AI initiatives end-to-end. Own the full ML lifecycle: data preparation, training, validation, deployment, monitoring. Review code, guide technical projects, and mentor engineers through challenges. Promote experimentation, continuous learning, and AI best practices. Interview and evaluate candidates as part of the technical hiring process. Stay ahead of emerging ML techniques and bring cutting‑edge approaches into production.

You'll Thrive Here If You...

• Lead from the front – hands‑on with code while lifting the team around you.
• Think like an owner – solving problems proactively, not waiting for instructions.
• Operate with speed and depth – making fast, sound decisions with clear trade‑offs.
• Bring clarity – adding structure and direction even in fast‑moving environments.
• Care about impact – focusing on solutions that matter in the real world.
• Enjoy mentoring – helping others grow is part of your leadership DNA.
• Adapt quickly – ambiguity and changing priorities don’t slow you down.
• Have a builder’s mindset – prototype fast, iterate fast, improve fast.
• Commit to continuous learning – across technical, product, and leadership skillsets.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Strong proficiency in Python.
• Over 4 years of AI/ML engineering experience with real‑world deployment.
• Deep expertise with ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
• Solid understanding of end‑to‑end ML workflows: data pipelines, training, validation, monitoring.
• Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.).
• Proven track record of technical leadership and mentoring.
• Excellent communication, collaboration, and problem‑solving skills.
• Comfortable working remotely with distributed teams across time zones.
• Nice to have: Experience with MLOps tools (MLflow, Airflow, Docker, GCP/AWS).
• Familiarity with responsible AI principles (fairness, interpretability, model governance).
• Startup or scale‑up environment experience.
• Experience developing internal tools, reusable ML components, or AI platforms.

What You'll Get

• Competitive salary and performance bonuses.
• Remote‑first work culture, with a hybrid work option for Malaysia‑based team members.
• High ownership and visibility – your work directly impacts regional‑scale systems.
• Direct reporting line to the Head of AI with leadership exposure.
• Opportunity to build and grow a high‑performance AI engineering team.
• Fast career growth and learning in a high‑velocity environment.
• Flat, collaborative culture where ideas move fast and great work gets noticed.

About BJAK

BJAK is a leading digital insurance platform serving millions of users with transparent and affordable financial protection. We simplify financial services using AI, automation, and smart APIs, and we’re building next‑generation intelligent systems to make finance accessible, fast, and fair for everyone. From personalized pricing engines to smart automation and fraud detection, we focus on technology that solves real problems at scale. If you’re ready to build, lead, and scale AI systems that matter – in a company that moves fast and thinks big – we’d love to hear from you.

Shape AI That Powers the Future of Financial Access

At BJAK, we use AI to solve meaningful, high‑impact 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 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. You’ll write production code, shape strategy, mentor engineers, and help build a lean, world‑class AI team. The position supports a fully work model.

Why This Role Matters

You’ll design and deploy core AI systems that support millions of users. You’ll partner closely with the Head of AI to drive technical execution and engineering excellence. You’ll mentor junior engineers and elevate team performance. You’ll play a central role in technical hiring and scaling the AI organization.