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- Tasks: Collaborate with customers to engineer ML deployment solutions and optimise their models.
- Company: Join a fast-growing US scale-up focused on empowering engineering teams with ML tools.
- Benefits: Enjoy a competitive salary, stock options, and the flexibility of fully remote work.
- Why this job: Be part of a dynamic team from top tech companies, tackling real-world AI challenges.
- Qualifications: 5+ years in Python backend development; experience with ML model lifecycle is a plus.
- Other info: Ideal for entrepreneurial engineers looking to make an impact in the AI/ML space.
The predicted salary is between 96000 - 128000 £ per year.
Fully Remote within the UK. Up to £160k + Stock + Benefits. Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning models. As they expand their global footprint, raised Series C funding & have grown over 30% in 3 months, they’re seeking a talented Forward Deployed Engineer to join the UK team!
About the Role
As a Forward Deployed Engineer you will collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You will be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency. You’ll work alongside teams that have joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber.
Key Responsibilities
- Partner with customers to identify and address their ML deployment needs.
- Implement and optimise ML solutions using Python, open-source tools & infrastructure.
- Collaborate with cross-functional teams to enhance product features, based on client feedback.
- Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms.
Ideal Candidates have
- 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or Founding Engineer.
- Some interest or experience with the lifecycle of ML model development & deployment.
- Computer Science degree or similar field of study.
- Excellent English communication skills: proven experience liaising effectively with customers (other Software Engineers or ML Engineers).
- Strong problem-solving skills and a proven customer-centric, Product Engineering mindset.
This role provides a view into the opportunities and challenges companies face implementing AI/ML solutions at scale and is ideal for Entrepreneurial Engineers. Apply with an updated CV to learn more!
Forward Deployed Engineer - Remote UK employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer - Remote UK
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, PyTorch, TensorFlow, Kubernetes, and Docker. Having hands-on experience or projects showcasing your skills with these tools can set you apart during interviews.
✨Tip Number 2
Network with professionals in the field, especially those who have experience in ML deployments or have worked at companies like NVIDIA or Amazon. Engaging with them on platforms like LinkedIn can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've solved complex problems related to ML deployment. Be ready to share specific examples that demonstrate your customer-centric approach and how you’ve optimised solutions in previous roles.
✨Tip Number 4
Research the company’s recent developments, especially their Series C funding and growth trajectory. Understanding their mission and challenges will help you tailor your conversations and show genuine interest during the interview process.
We think you need these skills to ace Forward Deployed Engineer - Remote UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Backend Python Software Engineering, especially any work related to ML model development and deployment. Use specific examples that demonstrate your problem-solving skills and customer-centric approach.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention your experience with tools like PyTorch, TensorFlow, and Docker, and explain how you can contribute to optimising ML solutions for clients.
Showcase Communication Skills: Since excellent communication is key for this role, consider including examples in your application that demonstrate your ability to liaise effectively with customers and cross-functional teams. This could be through previous projects or roles.
Highlight Relevant Projects: If you've worked on any significant projects involving ML deployments or backend engineering, make sure to include these in your application. Detail your role, the technologies used, and the outcomes achieved to illustrate your expertise.
How to prepare for a job interview at Few&Far
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant frameworks like PyTorch or TensorFlow. Bring examples of past projects where you implemented ML solutions, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Research the company’s goals and how they empower engineering teams. Being able to articulate how your skills align with their mission will show your genuine interest in the role and the company.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice common problem-solving scenarios related to ML deployment and be ready to explain your thought process clearly and logically.
✨Emphasise Collaboration Skills
Since the role involves working closely with customers and cross-functional teams, highlight your communication skills and any experiences where you successfully collaborated on projects. This will showcase your customer-centric approach.
