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- Tasks: Lead the development of adaptive ML systems and turn complex needs into actionable solutions.
- Company: Join Adaption, a pioneering company at the forefront of AI efficiency.
- Benefits: Competitive salary, equity, and budget for learning and development.
- Why this job: Shape the future of AI while making a real-world impact with cutting-edge technology.
- Qualifications: Bachelor's in Computer Science or related field; 3-4 years in machine learning.
- Other info: Collaborate with top talent and contribute to innovative research and product direction.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Machine Learning Engineer (Applied ML) role at Adaption.
The Role
We are obsessed with efficiency—allowing for real-time evolution of AI depends on making adaptable data and algorithms extremely efficient. The ideal candidate brings expertise in AI/ML, a strong track record of delivering impact, and a passion for making real-world impact. Act as a trusted technical advisor to strategic customers—translating needs into actionable plans. We’re looking for a Machine Learning Engineer who thrives at the intersection of applied research and building real world products. You’ll drive the design and implementation of adaptable data strategies, working directly with the founding team, contributing to both the research direction and the product vision. This role demands technical excellence and a passion for delivering real‑world impact.
Responsibilities
- Lead the development and deployment of efficient, adaptive ML systems in real production environments.
- Act as a trusted technical advisor to strategic partners, turning complex needs into actionable solutions.
- Own implementation of data products at Adaptable Labs, creatively addressing novel challenges related to data, interaction, and evaluation.
Qualifications
- Bachelor’s degree in Computer Science, Machine Learning, or a related field.
- Good communicator, excited about aligning technical execution with business goals.
- 3‑4 years of experience in machine learning, applied research, or systems-level engineering for AI.
- Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow).
- Excellent communication skills and ability to align technical work with high‑level goals.
- Mindset of ownership, curiosity, and a bias toward action.
- Bonus: experience with online learning, reinforcement learning, or efficient ML architectures.
- Bonus: track record of deploying ML systems that solved real business problems.
What we offer
- Be part of the founding team, shaping both the research agenda and the product direction.
- Work at the cutting edge of AI efficiency research, where constraints drive creativity.
- Collaborate with world‑class peers across ML algorithms and hardware acceleration.
- Contribute to building a company where efficiency isn’t an afterthought — it’s the core principle.
- Competitive salary + meaningful equity.
- Budget for learning, development, and certifications.
Machine Learning Engineer (Applied ML) employer: Adaption
Contact Detail:
Adaption Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Applied ML)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to act as a trusted advisor to clients. Mock interviews can be super helpful!
✨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, it shows you're genuinely interested in being part of our team at Adaption.
We think you need these skills to ace Machine Learning Engineer (Applied ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with AI/ML, especially any projects where you’ve made a real-world impact. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applied ML and how you can contribute to our goals. Be sure to mention any relevant experience that showcases your ability to turn complex needs into actionable solutions.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your familiarity with ML frameworks like PyTorch or TensorFlow, and any experience you have with deploying ML systems. We love seeing candidates who can demonstrate their technical excellence.
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’re considered for the role. Plus, it shows you’re keen on joining our team at Adaption!
How to prepare for a job interview at Adaption
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of ML frameworks like PyTorch, JAX, and TensorFlow. Be ready to discuss how you've used these tools in past projects and how they can be applied to real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in machine learning. Think about specific instances where your solutions had a tangible impact on business outcomes, as this aligns perfectly with the role's focus on delivering real-world results.
✨Communicate Clearly
Since the role requires acting as a trusted technical advisor, practice explaining complex concepts in simple terms. This will demonstrate your ability to align technical execution with business goals, which is crucial for success in this position.
✨Emphasise Your Curiosity and Ownership
Be ready to discuss how your mindset of ownership and curiosity has driven your work in the past. Share examples of how you've taken initiative in projects and sought out new learning opportunities, as this reflects the values that Adaption is looking for.
