The Job title: Machine Learning Prototyping Engineer
The Project duration: 6 months
The Project location: UK ( London )
Working pattern of the role (Hybrid Remote full time onsite): Hybrid ( 3 days WFO )
Please provide job spec for the role
What candidate will do
Take loosely defined problems and turn them into proofs of concepts (PoCs) within days Combine data engineering modelling and lightweight application development to test ideas end-to-end Where a POC shows promise there would be additional effort to grow it into a prototype (applying the concept to functional business needs) within 2-3 weeks Work independently with minimal guidance and iterate quickly based on feedback and communicate results clearly.
What we are looking for
Strong ability to translate ideas into working solutions quickly Hands-on skills across :Python (data processing ML prototyping).Data engineering (APIs data pipelines SQL cloud data).Lightweight app development (APIs simple frontends notebooks dashboards).Solid (not necessarily extensive) knowledge on the statistical/mathematical fundamentals that support and proposed ML methodologies. Experience building end-to-end prototypes not just models. Comfortable working in ambiguous fast-moving environments. Strong problem-solving and independent thinking.
Nice to have
Experience integrating LLMs or AI services into applications Familiarity with modern data platforms (e.g. Snowflake)Experience with visualisation tools (e.g. Tableau Plotly)Working knowledge of marketing and advertising
What success looks like
You can go from idea working PoC in 23 days You can go from working PoC to useful prototype in 2-3 weeks You unblock decisions by demonstrating feasibility quickly You focus on practical outcomes not perfect code
The Job title: Machine Learning Prototyping EngineerThe Project duration: 6 monthsThe Project location: UK ( London )Working pattern of the role (Hybrid Remote full time onsite): Hybrid ( 3 days WFO )Please provide job spec for the roleWhat candidate will doTake loosely defined problems and turn th...
The Job title: Machine Learning Prototyping Engineer
The Project duration: 6 months
The Project location: UK ( London )
Working pattern of the role (Hybrid Remote full time onsite): Hybrid ( 3 days WFO )
Please provide job spec for the role
What candidate will do
Take loosely defined problems and turn them into proofs of concepts (PoCs) within days Combine data engineering modelling and lightweight application development to test ideas end-to-end Where a POC shows promise there would be additional effort to grow it into a prototype (applying the concept to functional business needs) within 2-3 weeks Work independently with minimal guidance and iterate quickly based on feedback and communicate results clearly.
What we are looking for
Strong ability to translate ideas into working solutions quickly Hands-on skills across :Python (data processing ML prototyping).Data engineering (APIs data pipelines SQL cloud data).Lightweight app development (APIs simple frontends notebooks dashboards).Solid (not necessarily extensive) knowledge on the statistical/mathematical fundamentals that support and proposed ML methodologies. Experience building end-to-end prototypes not just models. Comfortable working in ambiguous fast-moving environments. Strong problem-solving and independent thinking.
Nice to have
Experience integrating LLMs or AI services into applications Familiarity with modern data platforms (e.g. Snowflake)Experience with visualisation tools (e.g. Tableau Plotly)Working knowledge of marketing and advertising
What success looks like
You can go from idea working PoC in 23 days You can go from working PoC to useful prototype in 2-3 weeks You unblock decisions by demonstrating feasibility quickly You focus on practical outcomes not perfect code
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