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For Companies At a Glance
- Tasks: Collaborate with customers to develop and optimise ML deployment solutions.
- Company: Join a fast-growing US scale-up focused on empowering engineering teams.
- Benefits: Enjoy a fully remote role, competitive salary, stock options, and great perks.
- Why this job: Be part of an innovative team tackling real-world AI/ML challenges with top companies.
- Qualifications: 5+ years in Backend Python Software Engineering; strong communication and problem-solving skills required.
- Other info: Work with cutting-edge technologies like PyTorch, TensorFlow, and Kubernetes.
The predicted salary is between 72000 - 108000 £ per year.
Fully Remote within the UK
Up to £150k + Stock + Benefits
Join a US scale-up on a mission to empower Engineering teams to deliver their best work by simplifying the deployment of Machine Learning models. As they expand their global footprint, have raised Series C funding, and 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 and develop ML-based deployment solutions. You will be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on optimisation, scalability, and efficiency. You’ll work alongside teams from companies 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, and infrastructure
- Collaborate with cross-functional teams to enhance product features based on client feedback
- Work with Python, PyTorch, TensorFlow, Kubernetes, Docker, and cloud platforms
Ideal Candidates have:
- 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment
- Interest or experience with the lifecycle of ML model development and deployment
- Computer Science degree or similar field of study
- Excellent English communication skills: proven experience liaising effectively with customers, software engineers, or ML engineers
- Strong problem-solving skills and a customer-centric, product engineering mindset
This role offers a view into the opportunities and challenges companies face when implementing AI/ML solutions at scale.
Forward Deployed Engineer - ML - Remote UK employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer - ML - Remote UK
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, PyTorch, and TensorFlow. 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 Machine Learning field, especially those who work 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 examples of how you've solved complex problems in previous roles. Highlighting your problem-solving skills and customer-centric approach will resonate well with the hiring team.
✨Tip Number 4
Stay updated on the latest trends in ML deployment and optimisation. Being knowledgeable about current challenges and solutions in the industry will demonstrate your passion and commitment to the field during discussions.
We think you need these skills to ace Forward Deployed Engineer - ML - Remote UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Backend Software Engineering, particularly with Python. Emphasise any work you've done with ML model development and deployment, as well as your collaboration with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with their mission to simplify ML deployment and provide specific examples of past projects that demonstrate your problem-solving abilities.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as Python, PyTorch, TensorFlow, Kubernetes, and Docker. If you have experience with cloud platforms, make sure to mention that too, as it’s crucial for this role.
Highlight Communication Skills: Since the role involves liaising with customers and engineers, include examples of how you've effectively communicated complex technical concepts to non-technical stakeholders. This will showcase your customer-centric mindset.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PyTorch, TensorFlow, and other relevant technologies. Bring examples of past projects where you implemented ML solutions, as this will demonstrate your hands-on expertise.
✨Understand the Client's Needs
Research the company and its clients before the interview. Be ready to discuss how you would approach understanding and addressing their specific ML deployment challenges, showcasing your customer-centric mindset.
✨Communicate Clearly
Since excellent communication skills are crucial for this role, practice explaining complex technical concepts in simple terms. This will help you connect with non-technical stakeholders during the interview.
✨Prepare for Problem-Solving Scenarios
Expect to face problem-solving questions related to ML deployment. Think through potential challenges and how you would tackle them, demonstrating your analytical skills and ability to think on your feet.
