Are you excited by the prospect of shaping the next generation of
AI?enabled SaaS products
--from the data pipelines that power our models to the UI components our customers touch every day? After eight years of steady growth,
Activ?Ops?Solutions
is entering a new expansion phase with an ambitious roadmap that weaves advanced analytics and machine?learning features into intuitive user experiences. To accelerate this journey we're adding a
Junior Full Stack Developer
who will
specialise in backend, data and Python?powered AI while still contributing to our front?end and UX efforts
, keeping you a true all?rounder.
Why this role?
Full?stack breadth, backend depth
- Spend roughly 60?% of your time on backend/data/AI and 40?% building or refining UI components.
AI & data focus
- Work directly with data scientists to embed intelligent capabilities into production systems.
Mentorship & progression
- Pair with our current dev and senior engineers who will coach you into a confident backend engineer while strengthening your front?end chops.
Role Overview - What you'll do
Backend & APIs (primary focus)
- Design, code and test .NET microservices, REST/GraphQL endpoints and background jobs.
Data Engineering
- Build ETL pipelines, optimise database performance and support analytics dashboards.
AI Integration
- Prototype and productionise ML features (classification, forecasting, LLM integrations).
Front?End & UX (secondary focus)
- Implement reusable Razor/React/TypeScript components, wire up API calls and contribute to accessibility and responsive design.
Quality & Support
- Provide 1st?line investigation of production issues, write automated tests and improve CI/CD pipelines.
Collaboration
- Work in an agile squad with product, UI/UX, QA and DevOps colleagues.
Required Technical Skills
Core Skill
.NET?/?C#
- Solid foundation in back?end development, async programming, dependency injection.
Python
- Confident scripting plus exposure to data?science or ML libraries (pandas, scikit?learn, PyTorch or similar).
React & TypeScript
- Comfortable building interactive UIs, managing component state and consuming REST/GraphQL APIs.
HTML?/?CSS (Tailwind or CSS?in?JS)
- Responsive layout, accessibility basics.
SQL & Databases
- Schema design, query optimisation, familiarity with MS SQL?Server or PostgreSQL.
Version Control
- Git (GitHub or Azure Repos).
Testing & CI/CD
- Unit/integration testing, GitHub Actions or Azure Pipelines.
Desirable / Nice?to?Haves
Cloud services (Azure/AWS/GCP) - Functions, containers, managed databases.
Docker & Kubernetes fundamentals.
Experience calling LLM APIs or building prompt?engineering demos.
Design systems or component libraries.
Soft Skills & Mindset
Natural problem?solver who enjoys alternating between back?of?the?stack challenges and visible UI polish.
Data?driven thinker with curiosity about AI and analytics.
Clear communicator comfortable explaining complex ideas to non?engineers.
Eager to learn, experiment and share knowledge.
Salary & Benefits
22,000?-?24,000base (DOE) plus performance bonus.
A dynamic and supportive work environment.
Personal development budget.
Career Path and Development
This role is a launchpad for your career, offering:
Direct mentoring from seasoned developers.
Real opportunities to advance as the company grows.
Your first 12-18?months will focus on mastering our backend/data/AI stack while rotating on UI stories. From there you can grow into:
Full?Stack Engineer
?
Senior Engineer
?
Technical Lead
Specialisms in
Machine?Learning Engineering
,
Backend Architecture
or
Front?End/UX Engineering
Application Process
Ready to take the leap? Apply by sending your CV, and any relevant portfolio links. We're excited to see what you bring to the table!
Closing Statement
At Activ Ops Solutions, we believe in the power of innovation and the critical role of each team member in achieving our vision. If you're passionate, innovative, and ready to make a tangible impact, we can't wait to meet you.
Job Type: Full-time
Pay: 23,000.00-25,000.00 per year
Additional pay:
Bonus scheme
Benefits:
Work from home
Schedule:
Monday to Friday
Language:
English (required)
Work authorisation:
United Kingdom (required)
Work Location: Hybrid remote in Leicester LE4 5NU
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