At a Glance
- Tasks: Design and deploy cutting-edge ML models using Python and advanced frameworks.
- Company: Fast-growing AI-driven tech company with a focus on innovation.
- Benefits: Medical, dental, vision insurance, vacation time, and stock options.
- Other info: Dynamic team environment with opportunities for learning and career growth.
- Why this job: Make a real impact on AI systems that shape product features and customer experiences.
- Qualifications: Strong Python skills and experience in machine learning model deployment.
The predicted salary is between 70000 - 90000 £ per year.
A fast-growing AI-driven technology company is hiring a full-time Machine Learning Engineer to join their expanding engineering team. This organization builds advanced machine learning platforms and data-driven products that help companies unlock insights, automate decision making, and deliver intelligent applications at scale. In this role, you’ll work with technologies such as Python, machine learning frameworks, data pipelines, cloud infrastructure, and modern MLOps tooling to design and deploy production-ready ML models. This is an exciting opportunity for someone who enjoys working at the intersection of data science, software engineering, and real-world product development. The team is looking for an engineer who can take machine learning solutions from concept to production while collaborating closely with data scientists and product teams. The biggest draw of this role is the chance to work on high-impact AI systems that directly influence product features and customer outcomes. You’ll gain exposure to cutting-edge ML techniques, scalable data architectures, and a fast-paced environment where learning and growth are encouraged.
What You Will Be Doing
- 50% Python / Machine Learning Development
- 30% Data Pipelines & Model Training
- 20% Cloud Infrastructure & Model Deployment
Daily Responsibilities
- 70% Hands On
- 20% Team Collaboration
- 10% Architecture & Technical Planning
Required Skills & Experience
- Strong experience with Python and machine learning development
- Experience building and deploying production machine learning models
- Experience working with large datasets and data pipelines
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar
- Experience with cloud platforms and scalable data infrastructure
- Strong understanding of software development best practices including testing and version control
Desired Skills & Experience
- Experience working with MLOps tools and model deployment pipelines
- Experience building APIs for ML services
- Experience working with distributed data processing systems
- Experience deploying ML solutions in cloud environments
The Offer
- Bonus eligible
You Will Receive The Following Benefits
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Machine Learning Engineer (NLP / Deep Learning) in London employer: Motion Recruitment
Join a dynamic and innovative AI-driven technology company that prioritises employee growth and collaboration. As a Machine Learning Engineer, you'll thrive in a fast-paced environment that encourages learning and offers exposure to cutting-edge technologies, while enjoying comprehensive benefits including medical, dental, and vision insurance, vacation time, and stock options. This is an exceptional opportunity to contribute to impactful AI systems and advance your career in a supportive and forward-thinking workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (NLP / Deep Learning) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python and frameworks like TensorFlow or PyTorch. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data pipelines. Practice common ML problems and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning Engineer (NLP / Deep Learning) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and machine learning development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in data science and software engineering makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects:If you've built or deployed any machine learning models, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve cloud infrastructure or MLOps tools.
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 from our team!
How to prepare for a job interview at Motion Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the machine learning frameworks mentioned in the job description, like TensorFlow or PyTorch. Brush up on your knowledge of data pipelines and cloud infrastructure, as these are crucial for the role.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built and deployed machine learning models. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaboration is Key
Since this role involves working closely with data scientists and product teams, be prepared to talk about your experience in team settings. Highlight any collaborative projects and how you contributed to achieving common goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s AI systems and their impact on product features. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
