Engineering Manager - Machine Learning

Location: Belfast
Contract: Full-time, Permanent, Hybrid (2 days per week in office)

EverQuote is seeking an ML Engineering Manager to join our growing team! We’re looking for a technical leader with an entrepreneurial mindset and strong interpersonal skills. As an Engineering Manager, you’ll guide teams to deliver high-quality software, enhance engineering efficiency and culture, and contribute meaningfully to the evolution of our platform and practices.

• Humble, Hungry, Smart. You’re a strong team player, eager to grow, and capable of supporting others.
  
• A great communicator with a hands-on approach to leadership.
  
• Someone who thrives in fast-paced, collaborative environments

• This is a critical leadership role responsible for guiding a team of talented engineers in the design, development, and deployment of our machine learning platforms and infrastructure. The ideal candidate will possess a strong technical background in machine learning, MLOps, and cloud technologies, combined with exceptional leadership and stakeholder management skills. You will be instrumental in shaping the future of our ML capabilities, including our advanced LLM platforms and RAG pipelines.

Education & Experience:

• A third-level degree in Computer Science, Information Technology, or a related field.
• A minimum of 6 years of professional experience in software engineering, ML or Data Science, with at least 3 years in a leadership role (Engineering Manager or Tech Lead).
• Proven experience managing and growing high-performing machine learning engineering teams.

Technical Skills:

• Deep understanding of MLOps principles and experience building and maintaining ML platforms.
• Hands-on experience with cloud platforms, preferably AWS, and infrastructure as code (IaC).
• Experience with building LLM platforms, particularly with AWS Bedrock and developing RAG pipelines.
• Proficiency in at least one programming language such as Python, Go, or Java.
• Familiarity with container orchestration technologies like Kubernetes.

Core Competencies:

• Exceptional leadership and team management skills, with a passion for mentoring and developing talent.
• Excellent stakeholder management abilities, with a knack for understanding user needs and aligning them with technical solutions.
• Strong product sense and the ability to contribute to product strategy and roadmap discussions.
• Outstanding communication and interpersonal skills, with the ability to articulate complex technical concepts clearly.

It would be an advantage if you also possess any of the following:

• Familiarity with data warehousing solutions like Snowflake.
• Knowledge of secure software development and MLOps best practices
• Experience in the insurance or financial technology industries.
• Using GenAI tools across the SDLC

• The chance to work with world-class professionals and cutting-edge technologies
  
• A competitive salary and performance-based bonus plan
  
• Generous 30 days annual leave + 6 public holidays
  
• Flexible, hybrid work environment
  
• Online learning platforms and engineering certification programs
  
• Lifestyle Spending Allowance
  
• Private healthcare, insurance for you and your family
  
• Enhanced parental leave
  
• CSR initiatives and social events
  
• Income Protection
  
• Critical Illness Cover
  
• Life Insurance
  

• We’re one of the fastest-growing companies in Boston history, operating at the intersection of tech and big data.
  
• We have a startup mindset with the security of an established, profitable company.
  
• We encourage creativity, independence, and career progression.
  
• We’re truly data-driven, with analytics at the heart of everything we do.
  

EverQuote NI is committed to providing equal employment opportunities for all. We do not discriminate on the basis of race, gender (including gender reassignment), sexual orientation, religious belief, political opinion, marital status, age, or disability.

All appointments are made based on merit.

Please note that background checks are conducted on all candidates offered a position. Having a criminal record does not automatically disbar you from employment.

If you require any special accommodations during the interview process, please let us know. We are committed to ensuring an inclusive and accessible experience for all candidates.