We're Hiring: Lead Machine Learning Engineer (NLP)

Would leading a team and being hands-on creating innovative NLP solutions to complex problems excite you? 

Join us as we build cutting-edge NLP systems that will transform the future of work!

About us

In a world where organisations are facing significant skills challenges, increasing compliance requirements and continuous organisational transformation, current approaches to managing jobs and job data are no longer fit for purpose.

RoleMapper is an AI-powered job description management solution that enables organisations to create, manage and future-proof job architectures and job descriptions. Built with inclusion and diversity at the core – our big vision is that our platform helps organisations build inclusive workplaces and transforms the world of work.  

In 3 years, we have built a portfolio of global big brand customers across the UK and US, have recently received significant VC funding and are now embarking on the next chapter of our growth journey.  

If you love working in an inclusive, collaborative, team-first culture and are passionate about helping customers solve some of the biggest workforce challenges, then RoleMapper is the place to be! 

About the Role:

As our NLP Team Lead, you will be responsible for leading a greenfield project that aims to develop innovative SOTA natural language processing models and applications.  

You will play an active hands-on role, building and refining the NLP algorithms and infrastructure of our AI-powered job management platform. Building our Machine Learning/NLP capability, you will apply SOTA NLP techniques to solve complex problems while collaborating with cross-functional teams.  

You will inspire, manage and mentor our small but growing ML team building a culture of innovation, continuous improvement and performance. 

Responsibilities:

• Building our ML/NLP capability
• Providing guidance and mentorship for other team members
• Guiding how we build and scale our machine learning operations
• Leading a greenfield research project, using SOTA NLP models
• Defining project scope and timeline, mitigating risks and ensuring milestones are met
• Developing and improving models and the MLOps infrastructure
• Communicating technical concepts and project results to non-technical stakeholders
• Delivering the outcome(s) of the research project

Requirements:

• Have a solid background in machine learning with a focus on NLP
• Have experience leading Data Science or ML teams and research projects
• Be a relentless problem solver, understanding requirements and designing solutions
• Have an entrepreneurial spirit and an interest in building world-changing ethical AI solutions
• Have excellent communication skills and be able to explain complex technical concepts to non-technical stakeholders
• Have experience working with large-scale data sets and distributed computing frameworks
• Experience with implementing SOTA NLP research papers
• Have experience working with Azure, AWS or GCP

To be successful working with us you will be “Start-up ready”, by this we mean you: are naturally proactive, default to action; have a positive attitude to change; have a continuous improvement mindset; are flexible, always happy to go beyond your brief; enjoy working at pace; are comfortable when not everything is clearly defined!  

And finally, you will really resonate with our values:   

• Customer Focus - we are obsessive about delivering value and reducing complexity for customers   
• Collaboration: we’re all about the team - collaborating, supporting and recognising everyone’s contributions  
• Openness & Honesty: we are open, honest, and straight-talking with each other and our customers  
• Authenticity & Humility: we bring our whole selves to work, and we have the humility and self-honesty to admit when we are wrong  

Location     

While our ‘official’ registered office is in Exeter, we all work remotely across different locations. We have regular team working-together days in both Exeter, Wokingham and London, so you would need to live/work somewhere reasonably accessible to one or more of these locations. If you prefer working in an office, we offer flexible memberships to regional workspaces. 

Flexible Working 

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: 

• Working from home  
• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive 

Salary  

Competitive salary to be discussed.