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- Tasks: Develop AI products and improve performance with a dynamic engineering team.
- Company: Join a growing greentech startup making real-world impact through data.
- Benefits: Enjoy flexible working, up to £60k salary, equity, and a learning budget.
- Why this job: Be part of innovative projects in AI while collaborating with industry leaders.
- Qualifications: 1+ year experience in machine learning; coding skills and understanding of ML fundamentals required.
- Other info: Work from anywhere several times a year and attend paid conferences.
The predicted salary is between 43200 - 72000 £ per year.
Get AI-powered advice on this job and more exclusive features.
This range is provided by Fruition IT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Fruition IT
Principal Machine Learning & AI Recruiter
Machine Learning Engineer
Up to £60k + equity + L&D budget
London Hybrid
Greentech
Join a growing greentech start up, focused on translating data into real world impact.
You’ll work alongside the Machine Learning Lead & the CTO, focused on designing and building AI driven features/ products. This role encompasses research and POCs, through to developing production level code for resilient and high quality features.
You will focus on building and deploying AI features and products.
Role:
- Develop AI products
- Alongside the wider engineering team, productise models and improve performance
- Support the ML Lead and CTO to expose new areas that can be improved
- End to end ML, research through to production and deployment
- Support the ML Lead and CTO on ML architecture and product strategy
Requirements:
- Experience with machine learning and modelling
- Proven coding ability, able to produce production level code
- AT LEAST 1+ year commercial experience in data science/ machine learning engineering
- Understanding of core ML fundamentals and concepts
- Some understanding of time series analysis
- Strong grasp of mathematical concepts
- Academic research (projects, publications)
- Strong academic background (eg PhD), although not essential if you have the relevant commercial experience
- Ideally a Physics or Engineering background (not essential)
Logistics:
- Flexible working (most do 2-3 days per week in office)
- Central London office
- Up to £60k + equity
- Wealth creation opportunity
- L&D budget, any conference paid for
- Work from anywhere opportunity several times per year
Apply now for all the details!
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Industries
- Software Development
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Machine Learning Engineer employer: Fruition IT
Contact Detail:
Fruition IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with machine learning and coding in your conversations. Highlight specific projects where you've developed AI products or improved model performance, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with the latest trends in greentech and how AI is being applied in this sector. Being able to discuss relevant applications of machine learning in real-world scenarios will demonstrate your passion and understanding of the industry.
✨Tip Number 3
Engage with the Machine Learning community online. Participate in forums or attend meetups related to ML and greentech. This can help you network with professionals in the field and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your understanding of ML architecture and product strategy. Think about how you can contribute to the team's goals and be ready to share your ideas on improving existing processes or products.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position. Understand the key responsibilities and requirements, especially the focus on AI-driven features and production-level code.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with machine learning, coding abilities, and any relevant projects or publications. Make sure to mention your commercial experience in data science or machine learning engineering.
Showcase Your Skills: Demonstrate your understanding of core ML fundamentals and concepts. If you have experience with time series analysis or a strong academic background, be sure to highlight these aspects in your application.
Tailor Your Application: Customize your cover letter to reflect your enthusiasm for working in a greentech startup. Mention how your skills align with the company's mission of translating data into real-world impact.
How to prepare for a job interview at Fruition IT
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and coding. Bring examples of production-level code you've written and be ready to explain your thought process behind the models you've developed.
✨Understand the Company’s Mission
Research Fruition IT and their focus on greentech. Be ready to discuss how your skills can contribute to translating data into real-world impact, aligning your answers with their mission.
✨Prepare for Technical Questions
Expect questions on core ML fundamentals and concepts. Brush up on time series analysis and mathematical concepts, as these may come up during the interview.
✨Demonstrate Collaboration Skills
Since you'll be working alongside the Machine Learning Lead and CTO, emphasize your ability to collaborate effectively within a team. Share examples of past teamwork experiences and how you contributed to successful projects.
