At a Glance
- Tasks: Deploy and optimise AI systems in real-world energy environments.
- Company: Applied Computing, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible working options, and growth opportunities.
- Other info: Join a dynamic team focused on real-world applications of AI.
- Why this job: Make a tangible impact on energy efficiency with cutting-edge technology.
- Qualifications: Experience in machine learning deployment and strong collaboration skills.
The predicted salary is between 72000 - 88000 £ per year.
Applied Computing in the United Kingdom is seeking a Forward Deployed ML Engineer to operationalise Orbital’s AI systems in live industrial environments across cloud, on-prem, and hybrid infrastructures. You will deploy, configure, tune, and productionise ML services, integrate RAG pipelines, and ensure reliability, low latency, and high uptime while collaborating directly with customers. This role emphasizes hands-on deployment over pure research, with close work alongside data engineers.
Forward-Deployed ML Engineer for Real-World Energy AI employer: Applied Computing
Applied Computing is an exceptional employer, offering a dynamic work environment where innovation meets sustainability. As a People Partner, you'll play a crucial role in shaping our People practices while enjoying autonomy and support from a collaborative team. With a focus on employee growth and a commitment to meaningful work, you'll have the opportunity to make a real impact in a fast-paced, scaling organisation dedicated to transforming the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Forward-Deployed ML Engineer for Real-World Energy AI
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Applied Computing or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Applied Computing.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Applied Computing.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Applied Computing that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward-Deployed ML Engineer for Real-World Energy AI
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Applied Computing.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Applied Computing and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Applied Computing
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Applied Computing uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
