PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
About the role
- Work closely with ML researchers and data scientists to productionise code and translate research prototypes into robust, scalable products
- Deploy production-ready code from ML engineers and researchers and provide guidance on deployable code best practices
- Identify and engineer efficient deployment patterns for deep learning models and choose inference frameworks
- Prepare, restructure and ensure data contracts with backend teams for ML inference
- Create efficient deployment packages and productionise solutions for scale
- Host and deploy models internally using Databricks@Azure and Azure Kubernetes Service (AKS)
- Input into objective functions, content strategy and wider data strategy with the AI and decisioning team and Director of AI and Decision Intelligence
- Keep up-to-date with DL and LLM research and iterate on solutions accordingly
Requirements
- 1 year of industry experience working in an MLE, ML research or Data Science role with applicable engineering skills
- Experienced Python programmer with 2+ years of programming experience in a day-to-day ML setting
- Experience with PyTorch and/or other deep learning frameworks
- Experience applying deep learning or deep probabilistic modelling solutions to business problems and launching them in production
- Experience with Git or other version control systems
- Good understanding of core machine learning concepts
- Demonstrated ability to learn quickly and apply learned knowledge
- Systems thinker who can design scalable solutions for emerging systems
- Ability to solve cold-start problems and combine ML and computer science approaches
- Comfortable working in a fast-paced startup environment and handling ambiguity
- Good interpersonal skills and experience working across varied engineering backgrounds (preferred)
- Industrial experience with LLMs, fine-tuning OSS LLMs, distillation, or LangChain (plus)
- Experience deploying to Azure AKS and using Databricks (plus)
- Must be based in the UK for hybrid/remote roles
- Visa sponsorship not available; cannot consider overseas applications
Benefits
- Opportunity to join a fast-growing, award-winning and super ambitious business.
- Work with a friendly team of highly motivated individuals.
- Be in an environment where you are listened to and can actually have an impact.
- Thriving collaborative and inclusive company culture.
- Competitive remuneration package.
- Company shares
- Company pension scheme
- Hybrid working environment (Our office is in London, by the Oxo Tower)
- Home office furniture allowance
- Personal Annual Learning and Development budget
- Private Medical Insurance
- Health Cash Plan (cashback on visits to the dentist & opticians etc)
- Cycle to work scheme
- Gympass subscription to a variety of gyms and wellbeing apps
- Enhanced parental pay & leave
- 25 days holiday + bank holidays with additional days added with length of service.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
NO
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