At a Glance
- Tasks: Develop and refine NLP algorithms for our AI-powered design platform.
- Company: Join a dynamic start-up focused on ethical AI solutions.
- Benefits: Competitive salary up to £100,000, remote work, and growth opportunities.
- Other info: Embrace a collaborative culture where your contributions are valued.
- Why this job: Make a real impact by solving complex problems with cutting-edge NLP techniques.
- Qualifications: Experience in building NLP models and working with cloud platforms like Azure or AWS.
The predicted salary is between 90000 - 100000 € per year.
Location: remote only within the UK
Salary: up to £100,000
Job Purpose
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 the ability to explain complex technical concepts to non-technical stakeholders
- Detail-oriented and able to manage multiple projects simultaneously
- Experience working with Azure, AWS or GCP
- An entrepreneurial spirit and an interest in building world-changing ethical AI solutions
Start-up life is not for everyone! To really thrive with us you will be Start-up ready. You are naturally proactive, open to change, have a continuous improvement mindset, are flexible, happy to go beyond your brief, enjoy working at pace and are comfortable with ambiguity.
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
Machine Learning Engineer employer: MindMatch
As a Machine Learning Engineer (NLP) at our innovative start-up, you will thrive in a dynamic remote work environment that champions collaboration and creativity. We offer competitive salaries, a culture of continuous improvement, and ample opportunities for professional growth, all while working on cutting-edge AI solutions that have the potential to change the world. Join us to be part of a passionate team that values customer focus, openness, and authenticity, making it an exceptional place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. 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, GitHub contributions, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with NLP models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about NLP and how you can contribute to our team. Be sure to mention any specific techniques or tools you're familiar with that relate to the job.
Showcase Your Problem-Solving Skills:In your application, don't just list your skills—show us how you've used them to solve real-world problems. We love candidates who can demonstrate their ability to tackle challenges head-on, especially in a start-up environment like ours.
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 the role. Plus, it shows us you're proactive and keen to join our team!
How to prepare for a job interview at MindMatch
✨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 that you can translate complex concepts into real-world applications will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenging problems using machine learning. Think about specific instances where you had to work with unstructured data or improve model performance. This will demonstrate your relentless problem-solving attitude and your ability to deliver results.
✨Communicate Like a Pro
Since you'll need to explain technical concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or relatable examples to make your points clear. This skill is crucial for collaboration and will show that you can bridge the gap between tech and business.
✨Embrace the Start-Up Spirit
Familiarise yourself with the fast-paced, ever-changing nature of start-ups. Be prepared to discuss how you've adapted to change in previous roles and how you thrive in ambiguous situations. Highlighting your proactive mindset and flexibility will resonate well with the company's values.
