At a Glance
- Tasks: Join a dynamic team to develop cutting-edge machine learning models and tackle complex challenges.
- Company: Exciting tech start-up in London focused on breaking down language barriers.
- Benefits: Flexible hours, 27 days leave, bonuses, private healthcare, and professional development.
- Other info: Enjoy a hybrid work environment with team outings and free snacks!
- Why this job: Make a real impact in the world of machine translation and grow your skills.
- Qualifications: 5+ years in Data Science, strong Python skills, and experience with ML frameworks.
The predicted salary is between 36000 - 60000 £ 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 in London employer: Atlantic Talent Recruitment
Join a dynamic tech start-up in London that is at the forefront of machine translation technology, where innovation meets collaboration. With a strong emphasis on employee growth, you will benefit from flexible working hours, generous annual leave, and a supportive work culture that encourages professional development. Enjoy unique perks like weekly team outings and daily free breakfast, all while contributing to a mission that breaks down linguistic barriers globally.
Contact Details:
Atlantic Talent Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in machine learning. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Create a portfolio showcasing your projects and contributions to machine learning. Whether it's GitHub repos or personal projects, having tangible evidence of your skills can really impress potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and machine learning concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us!
Don't forget to apply through our website! We’re here to help you land that dream job at a cutting-edge start-up. Plus, we know the ins and outs of the hiring process, so we can give you the best shot at success.
We think you need these skills to ace Machine Learning Engineer in London
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 easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
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 specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex technical challenges you've tackled in the past. Think about the methodologies you used and the impact your solutions had. This will demonstrate your analytical thinking and ability to contribute to the team.
✨Stay Updated on Industry Trends
Research the latest advancements in machine learning and natural language processing. Being able to discuss recent developments or techniques during your interview will show your passion for the field and your commitment to continuous learning.
✨Communicate Effectively
Since this role involves collaboration with various teams, practice articulating your thoughts clearly. Prepare to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your ability to bridge the gap between data science and business objectives.
