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- Tasks: Join a talented team to develop cutting-edge AI using machine learning techniques.
- Company: A fast-growing, research-driven company revolutionising their industry with innovative technology.
- Benefits: Enjoy remote or hybrid work, free snacks, team lunches, and exciting events.
- Why this job: Work on real-world problems in a dynamic environment with top-notch engineers and data scientists.
- Qualifications: 2+ years in Machine Learning/AI, solid Python and Java skills, and familiarity with cloud platforms.
- Other info: Salary ranges from £55,000 to £80,000 plus pension and generous annual leave.
The predicted salary is between 44000 - 64000 £ per year.
You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Machine Learning Engineer will join a very bright, talented team of engineers with the guidance of technologists who have helped build some of the best-known technology companies today. You will work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast. The role will be very interesting and diverse and will involve keeping ahead of the latest technologies.
Core skills for the Machine Learning Engineer:
- 2yrs+ in a commercial Machine Learning/Data Science/AI Engineering role
- Solid experience of Python and some Java (Can be from University)
- A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Familiarity with cloud platforms (AWS) and Kubernetes for deploying
- Ideally a degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering.
Salary for the Machine Learning Engineer will depend on experience, but expect between £55,000 and £80,000 + Pension + benefits.
Other benefits include:
- Free breakfast and coffee, drinks and snacks all day/every day.
- Food ordered for a weekly team lunch.
- Regular team events (dinner, bowling, karting, poker nights, board-games etc.)
- The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Applicants must have the right to work in the UK, no sponsorship is offered for this role.
Contact Detail:
Bentley Whitaker Search and Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest machine learning frameworks like TensorFlow and PyTorch. Being able to discuss recent advancements or projects you've worked on using these tools can really impress during interviews.
✨Tip Number 2
Engage with the machine learning community online. Join forums, attend webinars, or participate in hackathons. This not only helps you stay updated but also expands your network, which can lead to job opportunities.
✨Tip Number 3
Showcase your practical experience with cloud platforms like AWS. If you have any personal projects or contributions that involve deploying machine learning models on the cloud, be ready to discuss them.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills. Be ready to tackle real-world scenarios during interviews, as they may ask you to think through how you would apply machine learning techniques to specific challenges.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, data science, and AI engineering. Emphasise your proficiency in Python and Java, as well as your familiarity with frameworks like scikit-learn, TensorFlow, and PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and artificial intelligence. Mention specific projects or experiences that demonstrate your skills and how they align with the company's mission to revolutionise their industry.
Showcase Relevant Projects: If you have worked on any relevant projects, either professionally or academically, be sure to include them in your application. Highlight your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role like this.
How to prepare for a job interview at Bentley Whitaker Search and Selection
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Java, and the machine learning frameworks mentioned in the job description. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical knowledge.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. Understanding their approach to artificial intelligence and machine learning will allow you to align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect to face technical questions or case studies that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills and ability to work under pressure.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and the challenges they face. This not only shows your enthusiasm for the role but also helps you gauge if the company culture is a good fit for you.
