Senior Full-Stack Software Engineer-visa sponsorship maybe considered

Employer:NYXIUM LTD

Position:Senior Full-Stack Software Engineer

Salary:£80,000 – £95,000 a year

Job Types:Full-time

Work hours:40 hours per week.

Work location: London (hybrid)

FULL JOB DESCRIPTION

Right to work in the UK required (visa sponsorship considered on a case-by-case basis)

Time Commitment & Working Arrangement

The role requires focused, dedicated commitment to Nyxium.

• External paid work, consulting, or freelance engagements outside Nyxium are not permitted during employment.
• Any academic affiliations, advisory roles, or unpaid activities must be disclosed and must not conflict with Nyxium’s work, priorities, or intellectual property.
• We value sustainable working practices and do not expect routine overtime, but we do expect full professional focus during agreed working hours.

About Nyxium

Nyxium is a London-based deep tech company backed by top-tier investors. We are building an agentic AI and geospatial intelligence platform that supports siting, permitting, impact assessment, and decision-making for complex infrastructure projects, including energy systems, data centers, and other critical infrastructure.

Role Summary

We are hiring a Senior Full-Stack Software Engineer (AI / ML) to build and own Nyxium’s core application and ML integration layer.

This role sits between:

• AI and ML systems (LLMs, NLP pipelines, decision logic)
• Backend services and APIs
• Data and document workflows
• User-facing analytical and operational tooling

You will work directly with the founders and the Geospatial AI Engineer to turn advanced AI and spatial intelligence into robust, production-grade software that real teams depend on.

This is a senior individual contributor role with strong architectural ownership.

Key Responsibilities

• AI-Enabled Backend Systems
  • Design and build backend services that integrate AI and ML workflows into production systems
  • Develop APIs and orchestration layers
  • Ensure AI outputs are traceable, explainable, and suitable for audit and regulatory review
  • Develop Retrieval-Augmented Generation (RAG) and LLM-based pipelines for data imputation, NLP analysis, and decision support.
• Document, Workflow & Platform Intelligence
  • Build systems that process, normalize, classify, and enrich large volumes of structured and unstructured documents
  • Implement intelligent workflows for:
  • Regulatory documentation
  • Compliance evidence tracking
  • Developer and user automation
  • Design pipelines that balance ML-driven inference with deterministic rules and safeguards
• Full-Stack Application Development
  • Build and maintain user-facing applications that expose complex AI outputs in clear, actionable ways
  • Implement interactive dashboards, workflow UIs, and operational tools
  • Collaborate on frontend architecture using modern frameworks (React / Next.js), with a focus on correctness and clarity rather than visual novelty
• Data & API Engineering
  • Design schemas and APIs for systems that combine:
  • ML outputs
  • Geospatial attributes
  • Regulatory and temporal data
  • Work with Postgres (PostGIS a plus), MongoDB, and analytical data stores
  • Build reliable async processing, background jobs, and batch pipelines
• Production Quality & Developer Experience
  • Improve system reliability, testing coverage, and observability
  • Contribute to CI/CD pipelines and deployment workflows
  • Raise internal standards for code quality, documentation, and maintainability
  • Build systems that other engineers and stakeholders can confidently rely on
• Collaboration & Ownership
  • Work closely with founders on roadmap execution and technical trade-offs
  • Collaborate daily with the Geospatial AI Engineer to integrate spatial intelligence into the platform
  • Take full ownership of major system components from design through deployment
  • Contribute to technical decision-making as the platform scales

Required Qualifications

• Education
  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a closely related field
  • Equivalent industry experience considered
• Core Technical Skills
• Programming & Backend
  • Strong Python experience in production systems
  • Experience with FastAPI, Flask, or similar frameworks
  • Experience building ML-backed APIs and services
• AI / ML Integration
  • Hands-on experience integrating ML or LLM systems into real applications
  • Familiarity with NLP pipelines, document processing, or AI workflows
  • Understanding of model lifecycle concerns such as versioning, latency, and reliability
• Data & Platforms
  • Experience with SQL and NoSQL databases
  • Schema design for complex, evolving data models
  • Experience with background jobs, async workflows, and data pipelines
• Frontend (Applied)
  • Working knowledge of React and modern frontend patterns
  • Experience building dashboards or analytical user interfaces
• Cloud & Tooling
  • Experience deploying systems on AWS and/or GCP
  • Familiarity with Docker, CI/CD, and production monitoring

Experience

• 5+ years of professional experience in software engineering, data engineering, or ML-enabled systems
• 5+ years of experience in geospatial analytics, applied ML and computer vision, including production systems
• Demonstrated experience delivering end-to-end ML solutions in complex, real-world environments
• Proven experience shipping production systems used by real users
• Comfortable operating in early-stage or high-ownership environments

Preferred / Nice-to-Have

• Experience with geospatial data or spatial platforms
• Experience in environmental, infrastructure, healthcare, or regulated domains
• Experience building internal tools, developer platforms, or workflow automation systems
• Background in developer experience or platform engineering

What Success Looks Like

• You ship reliable, production-grade systems that form the backbone of the platform
• AI and ML capabilities are usable, trustworthy, and well-integrated
• Developers and users experience clear, stable workflows instead of brittle tools
• You raise the overall engineering bar through thoughtful system design and execution

Equity

• Meaningful equity will be offered after cliff period

Benefits

• Flexible, remote-first working arrangement
• Pension contributions (UK auto-enrolment)
• Paid annual leave and UK public holidays
• Direct access to founders and real influence over technical direction
• Opportunity to work on high-impact, technically challenging problems from the ground up

Why Join Us

• You will build core systems, not surface features
• Your work will directly shape a category-defining platform
• You will operate in a small, senior, high-trust technical team

You will work on problems that matter in real regulatory and infrastructure contexts

Education:

• PhD (required)

Experience:

• Full stack: 5 years (required)

Work authorisation:

• United Kingdom (required)

Application deadline: 02/02/2026
Expected start date: 03/02/2026

Work Location:hybrid remote

APPLICATION PROCESS

If you’re interested in this role, check out more information on the OFFICIAL WEBSITE HERE and apply now!!