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- Tasks: Develop and refine NLP algorithms for our AI-powered design platform.
- Company: Join a growing tech start-up focused on ethical AI solutions.
- Benefits: Competitive salary up to £100,000, remote work, and a dynamic team environment.
- 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.
- Other info: Embrace a start-up culture with opportunities for innovation and personal growth.
The predicted salary is between 72000 - 84000 £ 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 working with Azure, AWS or GCP
- A relentless problem solver, understanding requirements and designing solutions
- An entrepreneurial spirit and an interest in building world-changing ethical AI solutions
- Excellent communication skills and be able to explain complex technical concepts to non-technical stakeholders
- Be detail-oriented and able to manage multiple projects simultaneously
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 in Southampton employer: Mekion Consulting
Contact Detail:
Mekion Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other 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! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in being part of our journey.
We think you need these skills to ace Machine Learning Engineer in Southampton
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, unstructured data, and any relevant projects that showcase your skills. We want to see how you can solve real business problems!
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 your entrepreneurial spirit aligns with our values. Let us know how you can contribute to our team and drive innovation.
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud platforms like Azure, AWS, or GCP. We’re looking for someone who can build and deploy models effectively, so be sure to highlight any relevant technical skills and projects you've worked on.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mekion Consulting
✨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 worked with unstructured data or improved model performance through MLOps. This will demonstrate your relentless problem-solving attitude and 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.