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For Companies At a Glance
- Tasks: Collaborate with customers to optimise ML deployment solutions using Python.
- Company: Join a fast-growing US scale-up focused on empowering engineering teams.
- Benefits: Enjoy remote work, competitive salary up to £160k, stock options, and great perks.
- Why this job: Be part of a mission-driven team with top talent from leading tech companies.
- Qualifications: 5+ years in Backend Python Engineering; strong problem-solving and communication skills required.
- Other info: Ideal for entrepreneurial engineers interested in AI/ML challenges.
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!
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 highlight your problem-solving skills and customer-centric approach, as these are key aspects of the role.
✨Tip Number 4
Stay updated on the latest trends and challenges in AI/ML solutions. Being knowledgeable about current industry developments will not only help you in interviews but also demonstrate your genuine interest in the field and the company's mission.
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 experience with Python and any relevant backend software engineering roles. Emphasise your work with ML model development and deployment, as well as your problem-solving skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that demonstrate your ability to collaborate with customers and implement ML solutions effectively.
Showcase Relevant Projects: If you have worked on projects involving Python, PyTorch, TensorFlow, or cloud platforms, include these in your application. Briefly describe your role and the impact of these projects on the end-users.
Highlight Communication Skills: Since the role requires liaising with customers, make sure to mention any experiences where you successfully communicated technical concepts to non-technical stakeholders. This will showcase your customer-centric approach.
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've 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 Scenarios
Expect to face technical challenges during the interview. Practice explaining your thought process when solving problems, especially those related to ML deployment and optimisation, as this reflects your customer-centric mindset.
✨Communicate Effectively
Since the role involves liaising with customers, practice clear and concise communication. Be ready to explain complex technical concepts in simple terms, showcasing your ability to connect with both technical and non-technical stakeholders.
