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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 a competitive salary, stock options, and remote work flexibility.
- Why this job: Be part of a dynamic team from top tech companies, tackling real-world AI challenges.
- Qualifications: 5+ years in Backend Software Engineering with a focus on Python and ML.
- Other info: Ideal for entrepreneurial engineers looking to make an impact in AI/ML.
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 will make you stand out during interviews.
✨Tip Number 2
Research the company’s recent developments, especially their Series C funding and growth statistics. Being able to discuss their mission and how you can contribute to their goals will demonstrate your genuine interest in the role.
✨Tip Number 3
Prepare to discuss your previous experiences in deploying ML models and how you've tackled challenges in optimisation and scalability. Real-world examples will help illustrate your problem-solving skills and customer-centric approach.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which you can leverage during your application 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.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your ability to collaborate effectively. Provide examples of past experiences where you successfully partnered with customers or other engineers to achieve project goals.
Showcase Continuous Learning: Mention any recent courses, certifications, or projects that demonstrate your commitment to staying updated in the field of Machine Learning and software engineering. This shows your enthusiasm for growth and adaptability in a fast-paced environment.
How to prepare for a job interview at Few&Far
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and the specific tools mentioned in the job description, such as PyTorch, TensorFlow, Kubernetes, and Docker. Highlight any 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 aim to 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 Customer Interaction Scenarios
Since the role involves collaborating directly with customers, think of examples from your past experiences where you successfully identified and addressed client needs. This will showcase your customer-centric mindset and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to ML deployments and how they measure success. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
