At a Glance
- Tasks: Deploy and customise cutting-edge applications for real-world energy operations.
- Company: Join a pioneering tech company focused on sustainable energy solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting travel opportunities and career advancement.
- Why this job: Make a tangible impact in the energy sector with innovative AI technology.
- Qualifications: Proficiency in JavaScript/TypeScript and experience with cloud and on-premise deployments.
The predicted salary is between 72000 - 88000 £ per year.
Applied Computing was founded in 2023 to build Orbital, a physics-informed foundation model for energy operations.
We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable
abundance for a growing planet.
The hydrocarbon industry keeps the world running.
But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data.
We built Orbital to change that.
It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational
data and optimising in real time for any metric.
Decisions get faster, operations get safer, and carbon intensity falls.
We’ve raised over $32 million, including one of the largest seed rounds for an
AI company in the UK. We’re just getting started
As a Forward Deployed Full Stack Engineer, your job is to make Orbital work in the real world.
You will deploy, configure, customise, and operationalise Orbital’s applications inside customer environments, spanning cloud, on-premise, hybrid, and air-gapped infrastructure.
You are not building generic platform features for abstraction. You are ensuring Orbital is usable, integrated, secure, and production-ready inside complex enterprise ecosystems.
You’ll work directly with customer IT, OT, data, and engineering teams adapting interfaces, extending APIs, integrating identity systems, and troubleshooting deployments live in production.
Operating Context
Forward Deployed Engineers operate in pods of three alongside
- ML / AI Engineers
- Data Engineers
Each pod delivers 2–3 customer deployments per quarter, owning application deployment, integration, customisation, and operational reliability.
You will be required to travel.
- Strong proficiency in Java Script/Type Script (React, Node. js) and back-end frameworks (Fast API, Express, Django).
- Solid working knowledge of Python for scripting, APIs, and data integration.
- Experience building containerised microservices (Docker, Kubernetes).
- Familiarity with message brokers (Kafka, Rabbit MQ).
- Familiarity working with databases like Postgres SQL etc.
- Proficiency with Linux environments (deployment, debugging, performance tuning).
- Bonus: exposure to time-series/industrial data and operator-facing dashboards.
- Bonus: exposure working as a software engineer in oil and gas or energy environments
- Strong troubleshooting mindset in production systems.
- What Success Looks Like
- Orbital applications are fully deployed in customer environments.
- Interfaces are actively used by operators and engineers.
- Identity, security, and infra integrations work seamlessly.
- Deployments run reliably across cloud and on-prem systems.
- Customer-specific extensions are delivered rapidly when required.
- Application telemetry and monitoring are production-grade.
- 1) Application Deployment & Customisation
- Deploy Orbital’s full-stack applications into customer environments (cloud, on-prem, hybrid).
- Configure customer-specific application environments, networking, and access layers.
- Customise UI components, workflows, and feature configurations per customer use case.
- Implement customer branding, report templates, and UX adaptations.
- Ensure applications remain usable in control rooms, engineering offices, and operational settings.
2) Frontend Engineering (Customer-Facing Systems) - Develop real-time streaming in collaboration with frontend engineer (in Svelte / Svelte Kit) dashboards for AI inference and anomaly monitoring.
- Implement chat interfaces integrated with LLM services.
- Configure Web Socket pipelines for live model outputs.
- Adapt UI/UX for industrial workflows (operators, APC engineers, technologists).
3) Backend Services & API Integration - Deploy and extend Fast API microservices.
- Configure and customise REST and Graph QL (Strawberry) APIs.
- Implement customer-specific business logic and integrations.
- Connect application services to ML inference endpoints and data services.
- Extend APIs when customer systems require bespoke contracts.
4) Identity, Security & Enterprise Integration - Integrate Orbital with customer identity providers:
o SSO
o SAML
o OAuth - Implement role-based access controls.
- Configure tenant isolation and enterprise security requirements.
- Work with customer IT to satisfy firewall, network, and compliance constraints.
5) Database & Application Data Layer - Deploy and manage Postgre SQL schemas.
- Run Alembic migrations across environments.
- Optimise queries for production performance.
- Configure customer-specific schema mappings where required.
6) Infrastructure & Dev Ops (Application Layer) - Own application deployment infrastructure:
o Kubernetes
o Helm charts
o Docker services - Manage application-level Terraform / Terragrunt provisioning.
- Configure CI/CD pipelines (Git Hub Actions).
- Deploy services via container orchestration.
- Troubleshoot scaling, ingress, and service routing issues.
7) Observability & Production Reliability - Configure application monitoring via Grafana dashboards.
- Implement logging, alerting, and SLA monitoring.
- Support Prometheus metrics integrations.
- Debug production incidents in customer environments.
8) Customer Deployment & Forward Engineering - Work directly with customer IT / OT / Engineering teams.
- Deploy into air-gapped and tightly firewalled networks.
- Troubleshoot infrastructure, networking, and application failures.
- Build customer-specific extensions when core product configs are insufficient.
- Support onboarding, upgrades, and operational handover.
Full Stack Engineer, Forward Deployed in London 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 Full Stack Engineer, Forward Deployed in London
✨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 Full Stack Engineer, Forward Deployed in London
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.
