Machine Learning Engineer

Mekion Consulting
Sheffield, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 100K

Job location

Sheffield, United Kingdom

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Machine Learning
Natural Language Processing
Rapid Prototyping Process
Unstructured Data
Large Language Models
Machine Learning Operations
Data Pipelines

Job description

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:

  • 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
  • valuating, 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, and building scalable systems
  • Have experience working with Azure, AWS or GCP

Requirements

  • Be 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.

Benefits & conditions

  • 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

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