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For Companies At a Glance
- Tasks: Collect and analyse data, build machine learning models, and collaborate with a dynamic team.
- Company: Exciting tech start-up in London focused on breaking language barriers.
- Benefits: Flexible hours, 27 days leave, bonuses, private healthcare, and professional development.
- Why this job: Join a cutting-edge team and make a real impact in machine translation technology.
- Qualifications: 5 years in Data Science, strong Python skills, and experience with machine learning frameworks.
- Other info: Enjoy a hybrid work environment with weekly team outings and free snacks.
The predicted salary is between 43200 - 72000 £ per year.
Atlantic Talent is proud to be partnered with a dynamic tech start-up based in London. Our client operates a cutting-edge neural machine translation platform, which aims to break down linguistic barriers and facilitate seamless communication across the world. They are currently in the process of expanding operations and scaling their platform, so are on the search for a talented Machine Learning Engineer to join their data science team.
Role Responsibilities:
- This is a hybrid role, and will require 1-2 days in the London office each week.
- Collect, preprocess, and analyse large datasets to extract valuable insights and features.
- Conduct research to explore new techniques and methodologies in machine translation.
- Utilise your skills in Python to help build and manage state-of-the-art machine learning models and algorithms.
- Effectively communicate and collaborate with data scientists, analysts, engineers and software developers to help define project requirements and deliver solutions that meet business objectives.
- Stay informed about the latest advancements in machine learning, natural language processing, and related fields.
Essential Skills and Qualifications:
- A minimum of 5 years' experience working in a Data Science environment, ideally with a focus on building and deploying machine learning solutions.
- Bachelor's and MSc in Computer Science, Data Science, Machine Learning, or a related field.
- Strong programming skills in Python, with experience in software development best practices.
- Proficiency in machine learning frameworks including TensorFlow and PyTorch.
- Familiarity with cloud computing platforms, including AWS, and distributed computing environments.
- Excellent problem-solving abilities and a passion for tackling complex technical challenges.
- Prior experience in a start-up environment is desirable but not essential.
As the successful candidate, you will enjoy a comprehensive benefits package designed to support your professional and personal growth, including:
- Flexible working hours and a hybrid working environment.
- 27 days of annual leave plus public holidays.
- Up to 20% bonus per annum (based on company and personal performance).
- Private health care upon successful completion of probation.
- Professional development and training opportunities.
- The necessary technology, including a laptop and additional equipment, to create an optimal home working environment.
- Weekly team outings and daily free breakfast and snacks on site.
Machine Learning Engineer employer: Atlantic Talent Recruitment
Contact Detail:
Atlantic Talent Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or tech events where you can chat with fellow Machine Learning enthusiasts. You never know who might have a lead on that perfect job!
✨Show Off Your Skills
Create a portfolio showcasing your projects and contributions to machine learning. Whether it's GitHub repos or personal blogs, let your work speak for itself. This is your chance to shine and show potential employers what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and machine learning concepts. Practice common interview questions and maybe even do mock interviews with friends. Confidence is key, so get comfortable talking about your experience!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also helps us support you throughout the process. Let’s land that dream job together!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, machine learning frameworks, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine translation and how you can contribute to our dynamic team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool machine learning projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at Atlantic Talent Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think of examples where you've solved complex problems in your previous roles, especially in a data science context. This will demonstrate your analytical thinking and creativity.
✨Research the Company and Its Goals
Understand the mission of the tech start-up and how they aim to break down linguistic barriers. Familiarise yourself with their machine translation platform and be ready to discuss how your skills can contribute to their objectives.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be prepared to explain your ideas and methodologies to both technical and non-technical team members, showcasing your ability to work well within a diverse team.
