Job Role: Lead Machine Learning Engineer
Reference: BH-331p
Working Hours: 5 days per week
Job Type: Permanent
Salary: €88,000 to €118,000. per annum
Location: South Spain, or Gibraltar, UK. If you don’t live in South Spain or Gibraltar but are happy to relocate, that’s fine, the company will support you with this.
Remote: 4 days remote - 1 day on-site
About the Company
Our client is an innovative AI startup driving industry transformation through cutting-edge technologies. By leveraging Machine Learning, Generative AI, and real-time data analysis, they develop impactful solutions that redefine possibilities. With a fast-paced, ambitious, and innovation-driven culture, this company empowers its team to make significant contributions. Here, your ideas won’t just be valued—they’ll be implemented.
Role Overview
Our client is seeking a skilled Principal Machine Learning Engineer to join their team in a full-time role, ideally based in the EU/UK (preference for candidates near Gibraltar). Reporting to the CTO, you will lead critical projects to design, deploy, and scale machine learning systems. This role provides a unique opportunity to work at the intersection of research and production, transforming innovative ideas into real-world solutions that handle billions of real-time data points.
Responsibilities
- Own the end-to-end ML infrastructure, from architectural decisions to production deployment, setting technical standards for the team.
- Bridge research and production, delivering scalable, production-ready systems.
- Design and implement robust ML pipelines that manage rapidly growing data volumes with exceptional performance.
- Build and optimise core ML model components to make meaningful, real-world impacts, especially in gaming experiences.
- Drive improvements across quality, reusability, and performance in production-grade systems that can scale reliably.
- Establish best practices for code quality, testing, and documentation to influence and shape the engineering culture.
- Create and maintain scalable data pipelines and APIs to handle growing complexity while maintaining reliability.
- Collaborate with a multidisciplinary team, including data scientists, engineers, product managers, and analysts.
- Take the lead in architectural decision-making, balancing innovation with reliability.
- Work independently on technical initiatives, driving projects from concept to completion.
- Influence the technical direction and strategy of the company as an early team member.
- Occasional travel may be required to support the distributed team.
Essential Experience
- Proven track record of building and deploying ML systems in production, especially in real-time, high-throughput environments.
- Strong foundation in applied ML frameworks and data science tools.
- Deep expertise in Python, with a focus on ML engineering best practices and production-grade code architecture.
- Experience with modern cloud platforms (AWS/GCP/Azure), MLOps practices, and tools such as containerisation and CI/CD workflows for ML systems.
- Practical exposure to cloud data platforms with a history of delivering data-centric solutions for mission-critical use cases.
- Expertise in distributed microservice architecture and REST API development.
- Hands-on experience with streaming architectures and real-time data processing systems such as Kafka.
- A history of making architectural decisions that balance innovation and reliability.
- Evidence of curiosity and motivation to learn, with the ability to debate and evaluate modern ML approaches.
Desirable Experience
- Expertise with LLMs and modern NLP techniques, including embedding models and vector stores.
- Experience scaling ML systems from prototype to production.
- Background in a fast-paced startup environment.
- Understanding of ML monitoring and observability best practices.
Company Tech Stack
- Languages: Python
- Cloud Platforms: GCP (Cloud Run, GKE)
- Frameworks and Tools: Kubernetes, OpenAI, GenAI, Kafka, Next.js, Django
- Data Platforms: Postgres, BigQuery, Block Storage, Firebase
Benefits
- Competitive salary ranging from £75,000 to £100,000.
- Negotiable participation in a share scheme.
- Opportunity to work on transformative projects with cutting-edge technology in a high-impact, innovation-focused environment.
Email [email protected] for enquiries