| Location: London, Greater London, England | Salary: Negotiable |
| Sector: IT & Telecoms | Specialism: |
| Type: Contract | Contact: Mark Crorkin |
Machine Learning Engineer - Contract
As a Senior Machine Learning Engineer you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.
Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.
To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.
Your responsibilities as Machine Learning Engineer include:
- Taking vague requirements and translating them into models that solve real-world problems
- Running machine learning experiments using a programming language with machine learning libraries.
- Optimizing solutions for performance and scalability.
- Implementing custom machine learning code.
- Data engineering, i.e. ensuring a good data flow between database and backend systems.
- Data science, i.e. analyzing data and coming up with use cases
- MLOps, i.e. automating ML workflows with testing, reproducibility and metadata/feature storage; Designing ML architectures on GCP
Requirements
- Multiple years experience as an ML Engineer, ideally from a consulting background.
- Experience in orchestrating ML pipelines using KubeFlow Pipelines, or a GCP Managed orchestrator (e.g. AI Platform Pipelines, now Vertex Pipelines)
- Experience using TFX components such as TFDV, TFMA and TFTransform
- Experience in writing technical documentation
- Experience using GitHub and performing pull requests / merge requests, as well as exposure to CI/CD tools
- Experience in communicating technical topics to technical and non-technical stakeholders
- Experience in creating presentations and working in a cross-functional environment
- Strong communication and presentation skills.
Machine Learning Engineer - Contract
Services advertised by Gold Group are those of an Agency and/or an Employment Business.
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