Product Analyst managing the evolution of digital sports products like Cartola and ge. Collaborating across teams to enhance user experience and monetization strategies.
About the role
- Senior Machine Learning Engineer building and integrating advanced ML capabilities for engineering decisions at Secondmind. Collaborating with customers and research teams to enhance product functionality.
Responsibilities
- Developing and integrating ML capabilities : Building the ML capabilities that power the product.
- Customer guidance : Helping customers frame their engineering problems in terms our product can address, and guiding them through new ways of working.
- Diagnosing complex issues : When a customer's data goes into the product and something isn't right, you are the person who can unpick whether it's a data quality issue, unexpected model behaviour, a configuration problem, or a genuine bug.
- Shaping product direction : You sit at the intersection of what our researchers envision, what our customers actually need, and what is realistic to build and maintain in production.
- Codebase stewardship : Contributing to and maintaining a production codebase that interfaces with real test benches and simulation toolchains.
Requirements
- Strong theoretical and practical foundations in machine learning.
- Proficiency in Python and comfort working in a large, production-grade codebase (not just notebooks and scripts).
- Hands-on experience with at least one major ML framework (e.g. TensorFlow, PyTorch).
- The ability to thrive in complexity and ambiguity.
- Excellent judgement about when to work independently and when to ask for help, with the interpersonal skills to draw out the knowledge of domain experts, researchers, and engineers around you.
- Familiarity with automotive, manufacturing, or other engineering sectors.
- Experience working directly with customers or external stakeholders in a technical capacity.
- Strong foundations in probabilistic modelling (Gaussian processes, Bayesian methods, uncertainty quantification) and practical experience applying these techniques to real problems.
- Experience with active learning, Bayesian optimisation, or design of experiments.
- Familiarity with TensorFlow.
Benefits
- Competitive salary - reviewed annually
- 25 days annual leave, plus statutory bank holidays
- TGIF: The last Friday of every month is a half day for our employees
- Enhanced family leave policies
- Salary Sacrifice Pension Scheme
- Life Assurance of 4x salary
- Private Medical Insurance
- Eyecare Policy
- Dental Cash Plan
- Stock Options (where applicable)
- Free 24 hour access on-site gym
- Discount Shopping & Wellbeing Platform
- Employee Assistance Programme
- Values Award Scheme
- Cambridge Botanic Garden membership
- Social events, game nights and sports groups
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Lead at Bifrost Studios building core data and analytics systems for new ventures. Collaborating with founders to streamline operations and establish scalable infrastructures.
Data Science Engineer building the software and data infrastructure for media advertising at Medialab. A 1 year university placement role focusing on AI and automation in data science.
Data Scientist for climate action progress tracking at C40. Analyzing climate - related data and managing data warehouses for performance measurement across global cities.
Product Data Scientist responsible for co - building an Agentic AI framework. Collaborating with product teams while working within a hybrid model in Warsaw, Poland.
Staff Data Scientist at Clio developing scalable ML systems and strategic experimentation frameworks. Leading high - impact modeling projects and mentoring junior team members.
Manager, Data Science and AI delivering actionable insights and AI - powered analytics tools for Pfizer’s Commercial organization. Leading execution of AI/ML models and facilitating communication of data - driven insights.
Data Scientist at Votorantim Cimentos focusing on Sales & Marketing data initiatives and model development. Collaborating with stakeholders to deliver effective data solutions.
Senior Data Scientist at INSZO applying data - driven solutions for improved patient outcomes in healthcare. Working on complex challenges using large datasets and innovative algorithms.
Data Scientist leveraging expertise in statistics, machine learning, and AI at Simplot. Contributing to diverse, challenging projects to create business value.