At PROWLER.io we believe for AI to make useful, efficient and effective decisions it has to be based on mathematical principles. So we have combined three different branches of mathematics to create the world’s first AI platform for general purpose decision-making.

Prowler.io Cambridge, UK
12/02/2019
Full time
We are looking to hire exceptional machine learning engineers to our team of highly talented scientists and engineers. You will be contributing to our research work and developing software for our AI platform and agents to deliver completely new solutions to gaming, simulation, robotics, autonomous vehicles, and beyond. Your responsibilities Contribute to Machine Learning research Formulate and run experiments and improve algorithms based on results Design and develop high quality software to implement research results, working in an Agile team Review documents, designs and code done by others and provide constructive feedback Continuously develop your own Machine Learning and engineering skills and help others to improve theirs Key qualifications Minimum 3 years of practical experience in software engineering or Machine Learning, and ideally both Strong grasp of both Machine Learning and software engineering fundamentals Deep knowledge of a programming language (e.g. Python, C++, Java or C#); working knowledge of multiple languages Masters degree or higher in Computer Science or Machine Learning, or a similar area, is required What we offer Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI. Location Cambridge, United Kingdom. Candidates must be authorised to work in the UK.
Prowler.io Cambridge, UK
12/02/2019
Full time
We are looking to hire Data Engineers to our team. You will work closely with world class Data Scientists, Machine Learning Researchers and Software Engineers. As a Scrum team member you process varied and complex data sets from our customers and other sources, visualising the data, extracting insights and helping solve real-world problems. Your main responsibilities Process, visualise and analyse data, and prepare for use by research and engineering colleagues Automate data processing through scripting and use of tools Work with databases and high performance file systems Develop scripts and software for data processing in production Evaluate and deploy state of the art data processing tools Continuously develop your own engineering skills and help others to improve theirs Key qualifications Passion for processing data and extracting insights from it Experience in working with large and complex data sets Working knowledge of SQL and databases Working knowledge of a programming language, preferably Python; working knowledge of multiple languages beneficial Experience in data warehousing, data pipelines, time series data and/or webscraping is desirable Degree in Computer Science or similar is desirable Experience in working with financial and/or logistics data is a bonus What we offer Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI. About the location Cambridge, United Kingdom. Candidates must be authorised to work in the UK. 
Prowler.io Cambridge
11/02/2019
Full time
Working with PROWLER.io offers the opportunity to work with world-leading researchers and engineers on contemporary problems in machine learning, as well as application-driven research. The ML engineering placement is a 3-month programme, designed for those at MPhil or PhD Level who have Machine Learning knowledge and practical Python programming experience.   Your work experience with us will include: A three month placement as part of one of our project teams Producing code that may become part of PROWLER.io's ML platform, or part of an open source project Writing a short report on your work, to be submitted as a workshop paper at an ML conference or circulated internally as a technical report Participating and engaging in research and engineering activities within the company including seminars, research meetings and discussions Key requirements: Practical Python programming experience Evidence of machine learning knowledge (e.g. projects, relevant courses) Effective communication skills Ability to work well in multi-disciplinary teams  We provide: A world leading research and development environment Access to top researchers in Probabilistic Modelling, Multi-Agent Systems and Reinforcement Learning A healthy startup culture with a host of benefits, including regular team lunches, a free gym membership, yoga classes, games nights and other social events Competitive compensation This is a Summer placement commencing in June 2019. Applications are now open and will close on 29th March 2019. Location: Cambridge, United Kingdom
Prowler.io Cambridge, UK
11/02/2019
Full time
We are looking to hire exceptional scientists to join our reinforcement learning team. You will be contributing to our research work and developing algorithms that are both theoretically rigorous, yet scalable to domains approaching real-world complexity. Your responsibilities Develop novel reinforcement learning algorithms Conduct theoretical analysis of proposed algorithmic solutions Contribute to research work and publications the team is working on Develop and run large-scale experiments to identify effective solutions Work closely with other researchers and engineers in an Agile team Essential skills and experience PhD in Computer Science, Electrical Engineering, or an equivalent degree in a related field Strong background in the fields of reinforcement learning, and/or control theory Strong knowledge of machine learning and artificial intelligence algorithms Publications at top machine learning and robotics conferences, including but not limited to ICML, NeurIPS, AISTATS, UAI, AAAI, ICRA, RSS, IROS, ICLR, IJCAI Publications in high-impact machine learning and robotics journals, including but not limited to JMLR, PAMI, JAIR, IJRR Desired qualifications, skills and experience Experience with any of the following topics is a big plus: Model-based reinforcement learning Variational inference and/or probabilistic modelling Multi-task and/or lifelong learning Experience using MuJoCo and/or OpenAI gym environments Experience with Tensorflow and/or Pytorch libraries What we offe Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI. Job type: full-time Location : Cambridge, United Kingdom - Candidates must be authorised to work in the UK