At a Glance
- Tasks: Develop and refine NLP algorithms to solve real business problems using cutting-edge AI techniques.
- Company: Join RoleMapper, a forward-thinking company transforming the future of work with AI.
- Benefits: Up to £100k salary, 25 days leave, birthday off, and early finish on Fridays.
- Other info: Enjoy a collaborative culture with opportunities for personal and professional growth.
- Why this job: Be part of a team that drives innovation and makes a real impact in workforce management.
- Qualifications: Experience in building NLP models and working with cloud platforms like Azure, AWS, or GCP.
The predicted salary is between 80000 - 100000 € per year.
Are you passionate about using AI to make work fairer and more transparent? Join us as we build DNA for Work that will transform the future of work.
RoleMapper is building the DNA for Work, the data infrastructure powering fair, transparent and AI‑driven workforce decisions. RoleMapper brings structure, intelligence and governance to Job, Work & Skills data, enabling transparent, equitable pay decisions, skills‑based talent strategies and high‑performing teams, at scale.
In 5 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!
As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. You will be responsible for developing and refining the NLP algorithms and infrastructure of our AI‑powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross‑functional teams.
As Machine Learning Engineer (NLP), you will be responsible for:
- Building and deploying NLP models using the latest techniques to solve real business problems at scale, and exposing them through APIs
- Working with unstructured data to extract insights and build robust data pipelines
- Evaluating, tracking, and improving the performance of NLP models through MLOps
- Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution
- Communicating technical concepts and results to non‑technical stakeholders
- Playing an active role in the wider team and growth of the business
To be successful in this role you will have:
- Experience building and deploying NLP models using the latest techniques to solve real business problems at scale, and exposing them through APIs
- Experience working with unstructured data to extract insights and build robust data pipelines
- Experience evaluating, tracking, and improving the performance of NLP models through MLOps
- Experience driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution
- Excellent communication skills and ability to explain complex technical concepts to non‑technical stakeholders
- Detail‑oriented and able to manage multiple projects simultaneously
You will also have:
- A relentless problem solver, understanding requirements and designing solutions
- An entrepreneurial spirit and an interest in building world‑changing ethical AI solutions
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
Salary range: Up to £100k dependant on experience. In addition to 25 days of annual leave, we offer a paid shutdown between Christmas and New Year, which usually equates to an additional 3 to 5 days depending on how the dates fall. Everyone also gets their birthday off each year to celebrate properly. Our working week also has a little perk built in, as we finish at 3pm every Friday.
Pension contribution, top up your life insurance cover up to 8 times your annual salary (capped at £750,000), purchase Critical Illness cover, up to 5 times your basic salary (capped at £500,000), top up your pension contributions, join the Private Medical Scheme and add your immediate family to your private medical policy, join the cash plan scheme and add your partner (children are covered for free), purchase a cycle or cycling equipment through the Cycle2Work Scheme, lease an Electric car with Loveelectric, save money on your nursery fees with our Nursery Scheme.
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.
Machine Learning Engineer (NLP) in Exeter employer: RoleMapper Technologies Limited
RoleMapper is an exceptional employer that champions a collaborative and inclusive work culture, where innovation thrives and every team member's contribution is valued. With a strong focus on employee growth, we offer generous benefits including a competitive salary, flexible working arrangements, and unique perks like early Friday finishes and additional leave for birthdays and holidays. Join us in transforming the future of work while enjoying a supportive environment that prioritises your well-being and professional development.
Contact Detail:
RoleMapper Technologies Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (NLP) in Exeter
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects and any relevant work you've done. This is your chance to demonstrate your expertise and passion for machine learning, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Machine Learning Engineer (NLP) in Exeter
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its potential to create fairer workplaces shine through. We want to see how you connect with our mission at RoleMapper!
Tailor Your Experience:Make sure to highlight your experience with NLP and machine learning in a way that aligns with the role. Use specific examples of projects you've worked on that demonstrate your skills and problem-solving abilities.
Keep It Clear and Concise:While we love detail, clarity is key! Avoid jargon where possible and explain your technical skills in a way that’s easy to understand. Remember, we want to see how you can communicate with non-technical stakeholders too.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our growing team!
How to prepare for a job interview at RoleMapper Technologies Limited
✨Know Your NLP Stuff
Make sure you brush up on the latest NLP techniques and algorithms. Be ready to discuss how you've applied these in past projects, especially when it comes to building and deploying models. Showing your passion for AI and its ethical implications will definitely impress!
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled using machine learning. Highlight your thought process and the steps you took to design effective solutions. This will demonstrate your relentless problem-solving spirit that RoleMapper values.
✨Communicate Like a Pro
Practice explaining technical concepts in simple terms. RoleMapper values clear communication, especially with non-technical stakeholders. Think of ways to convey your ideas effectively without jargon – this could set you apart from other candidates.
✨Embrace Collaboration
Be ready to discuss how you've worked in teams before. Share experiences where collaboration led to successful outcomes. RoleMapper is all about teamwork, so showing that you can thrive in a collaborative environment will resonate well with them.