Machine Learning / AI Engineer- OpenCapacity Remote £35,000 – £65,000 a year – Permanent, Temp to perm, Full-time, Temporary contract, Freelance

Full time @Data Science Career in Machine Learning
  • Apply Before : July 15, 2024
  • Salary: £35.00 - £65.00 / Annual
  • 1 Application(s)
  • View(s) 46
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Job Detail

  • Job ID 23259
  • Sector Machine Learning

Job Description

Benefits

Pulled from the full job description
  • Casual dress
  • Company events
  • Company pension
  • Flexitime
  • Work from home

Full job description

Machine Learning / AI Engineer @ OpenCapacity

Job title: Machine Learning / AI Engineer

Location: London / Berlin – (remote)

Salary: £35,000 – 65,000 per annum (permanent or contractor)

Closing Date: 27 May 2024

Starting Date: Immediate / 01 June 2024

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About us

At OpenCapacity, we focus on turning cutting edge research in computing and Artificial Intelligence (AI) into novel technology solutions for solving existing problems in the transport industry.

Our core products are focusing on AI-driven capacity analytics, forecasting and visualisation for public transport. Our focus is on creating truly Intelligent Mobility by applying Machine Learning/AI in the public transport sector, generating novel capacity data and connecting this to multiple data sources from operators and cities to deliver increased productivity and an enhanced customer experience.

This is an exciting opportunity to be part of a startup as they scale to multiple international markets alongside some of the most recognised players in the field of public transport. Candidates will need to demonstrate their passion in ML/AI and commitment to developing a clear and well-considered ML/AI framework.

Who we are looking for

Our Machine Learning/AI Engineer will join a team of machine learning, web and mobile developers building the most intelligent mobility management solutions on the market.

You will be working on implementing ML/AI models for public transport vehicles utilising onboard sensors and external data sources whilst supporting the growth of our exciting products. As our Machine Learning & AI Engineer you will help shape the technical direction, planning and development of our ML/AI solutions and its functionality, monitoring and performance optimisation.

Essential Criteria

  • Great design and implementation experience with Machine Learning solutions
  • Experience with data modelling and analytics solution stacks and ML libraries
  • Expertise in at least one or several of these: Python, Java, web frameworks, RESTful API design, complex ETL or data transformation
  • Genuine interest in ML/AI technology with your own innovative slant
  • Solid grounding in data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
  • Exposure to Deep Learning techniques such as RNN, LSTM, Reinforcement learning
  • Experience working with Multivariate time series data
  • Knowledge on implementing Time-Series Prediction with Neural Networks, Random Forest, etc
  • Desire to learn, solve problems and ship products
  • Ability to partner with developers, scientists and business thinkers

Desirable Criteria

  • Experience working with Cloud technologies
  • Fluency in English is essential, German knowledge would be beneficial
  • Flexibility for occasional travel for business purposes

Benefits

  • Working in fast-paced, cutting-edge, startup environment
  • Remote working (office space optional)
  • Laptop of your choice
  • Flexibly manage your own time and workflow
  • Support for professional development certification
  • Freedom to explore the latest tools and technologies
  • Knowledge-sharing activities

Keywords:

Deep Learning, Machine Learning, Artificial Intelligence, Neural Networks, AI computing, Intelligent Mobility, Computer Science

Job Types: Full-time, Contract, Permanent

Salary: £35,000.00 to £65,000.00 /year

Job Types: Full-time, Permanent, Temp to perm, Freelance
Contract length: 18 months

Pay: £35,000.00-£65,000.00 per year

Benefits:

  • Casual dress
  • Company events
  • Company pension
  • Work from home

Schedule:

  • Flexitime
  • Monday to Friday

Experience:

  • Machine learning: 1 year (preferred)

Work authorisation:

  • United Kingdom (required)

Work Location: Remote

Application deadline: 27/05/2024
Reference ID: Machine Learning / AI Engineer
Expected start date: 01/06/2024

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