Machine Learning Engineer Remote
Job description
Please apply via https://careers.crowdhelix.com/machine-learning-engineer-2023.
Offer summary
- Full-time £40,000 to £50,000.
- Remote-first. This position is for UK-based candidates only.
- 35 hour week.
- 25 days of holiday + bank holidays.
- Training budget and a new MacBook Pro.
Minimum requirements
- 2+ year of working experience, with references.
- Demonstrable knowledge of Python.
- Familiarity with cloud machine learning frameworks and libraries.
About the job
As a Machine Learning Engineer at Crowdhelix you'll be responsible for building and maintaining our machine learning system. Working alongside the development team you'll create, maintain and improve a range of machine learning solutions in different domains with the goal of enabling the end-to-end collaborative innovation process. You'll have the opportunity to work with internal and public data to identify and implement systems tied to our strategic goals and for the European grant-funded projects we work on.
Ultimately, your work will have a direct impact on the user experience of our platforms and contribute to world-changing scientific projects.
Be sure to read about Crowdhelix and what we do!
About you
You should be able to demonstrate solid data science knowledge and experience in a related machine learning role. If you also have knowledge of software engineering, we’d like to meet you.
We're looking for someone who can show us at least some of these attributes:
- Ability to write robust code in Python;
- Understanding of data structures, data modelling and software architecture;
- Deep knowledge of maths, probability, statistics and algorithms;
- Familiarity with cloud machine learning frameworks (such as Vertex AI) and libraries (like TensorFlow);
- Superb analytical and problem-solving abilities;
- Familiarity with the GitHub and Git; and
- Great communication and collaboration skills.
If you love a challenge and are able to delve into the details, then we would be very keen to hear from you. Each new team member provides an opportunity for us to welcome a different perspective to our team, from which we can learn and grow. The entire Crowdhelix team is committed to building an inclusive, supportive place for our colleagues to do the best and most rewarding work of their careers.Admin requirements. You need to:Live in the UK and have the right to work in the UK, and be willing to occasionally travel to Cork, London and Norwich to meet with other members of the Crowdhelix team (costs covered by us);
Be willing, and have the right, to travel occasionally to meetings and events overseas, particularly across Ireland and the UK (costs covered by us);
Be comfortable with taking on a mix of responsibilities in the context of a small, dynamic company;
Have good English oral and written communication skills; and
Be motivated, enthusiastic, and proactive.
Our offer
This is a full time role (35 hours per week), based in the UK with flexibility regarding remote and/or home working. We have an office in London and access to co-working spaces in Cork and Norwich.
The salary range we’re offering is £40,000 to £50,000 per annum commensurate with experience. All of our salaries are subject to annual increases to reflect cost of living inflation, as well as automatic annual advancement through pay increments to reflect experience gained on the job.
We provide a learning and development budget, as well as keeping Friday afternoons free of meetings, so you can continually update and develop your knowledge and skills.
We also offer 25 days of holiday per year in addition to bank holidays, with extra days granted for long service (1 additional day per full year of service, up to 5 extra total per annum).
Apply for the job
Do you want to join our team as our new Machine Learning Engineer? We'd love to hear from you! Please apply via https://careers.crowdhelix.com/machine-learning-engineer-2023.
Job Types: Full-time, Permanent
Salary: £40,000.00-£50,000.00 per year
Schedule:
- Monday to Friday
Experience:
- Machine learning: 2 years (required)
Work authorisation:
- United Kingdom (required)
Work Location: Remote
