Senior ai/ml engineer Work, Jobs in Runcorn, Chs (with Salaries)

Full-Stack Engineer (AI SaaS)
Vizly —Liverpool
- £60,000 - £85,000 a year
- Weekend availability
- System design
- Master's degree
- AWS
Quick apply
10d
Senior AI/ML Engineer
Code First Girls —Manchester
- Full-time
- Hybrid work
- Machine learning
- Software development
- AI
Quick apply
Senior Ai Engineer (AI/ML/R&D)
Bally's Interactive LLC —Manchester
- Hybrid work
- Master's degree
- AWS
- Machine learning
- Annual leave
- Gym membership
Quick apply
AI Engineer
CarFinance247 —Manchester
- Up to £60,000 a year
- Azure
- Computer Science
- Master's degree
Operational Technology / Project Management Professionals (OT/SCADA PLC)
Sweco UK —Warrington
- Part-time
- Hybrid work
- Employee assistance programme
- Employee discount
Operational Technology / Project Management Professionals (OT/SCADA PLC)
Sweco —Warrington
- Full-time
- Hybrid work
- Employee assistance programme
- Employee discount
Senior Technical Architect
VML/WPP Enterprise Solutions —Manchester
- Business development
- AWS
- Mentoring
Quick apply
5d
Lead AI Engineer
The Granite Group —Liverpool
- Up to £60,000 a year
- Full-time
- Hybrid work
- Master's degree
- Mentoring
- AI
- Flexible schedule
Quick apply
Senior Data Scientist
Autotrader —Manchester
- £50,000 - £70,000 a year
- Machine learning
GEN AI Architect
Barclays —Knutsford
- Mentoring
- AI
AI Enterprise Architect
Barclays —Knutsford
- Machine learning
- Mentoring
- AI
Lead Data Engineer
Radius Limited —Crewe
- Full-time
- Mentoring
- Leadership
- Employee assistance programme
Quick apply
Senior Data Engineer
Travel Counsellors —Manchester
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
4d
Senior Technical Architect
VML —Manchester
- Hybrid work
- AWS
- Mentoring
- AI
Quick apply
7d
Senior Cloud Engineer
CreateFuture —Manchester
- Full-time
- Hybrid work
- Travel
- Mentoring
- Scripting
Quick apply
AI Architect
Anaplan —Manchester
- Computer Science
- Engineering
- Bachelor's degree
Quick apply
Senior Data Engineer (ML)
CreateFuture —Manchester
- Full-time
- Hybrid work
- SQL
- Travel
Quick apply
11d
AI Product Lead
DBD International —Warrington
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
6d
Java Full Stack Engineer with AI-driven development exposure - Vice President
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Java
- Master's degree
Senior Vice President, Full-Stack Engineer
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Java
- Master's degree

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Full-Stack Engineer (AI SaaS)

Vizly
Liverpool

Quick apply

Job details

Full-time
£60,000 - £85,000 a year
10 days ago

Qualifications

CI/CD
Cloud architecture
Node.js
Law
Stakeholder collaboration
Big data
Software deployment
Stakeholder liaison
Spark
System design
Software development operations experience
Master's degree
Cloud engineering experience
AWS
CI/CD pipelines
JavaScript
Terraform
Back-end development
APIs
Front-end development
S3
Business requirements
Solution architecture
SaaS
AI
DevOps implementation
Software development or architecture experience
TypeScript
Communication skills
Infrastructure provisioning automation
Terraform provisioning

Full job description

Overview

We are seeking a Senior Full-Stack Software Engineer to help design, build, and operate scalable SaaS applications. This role emphasizes modern JavaScript development (Next.js / Node.js) combined with strong cloud and DevOps ownership on AWS.

You will work on a production SaaS codebase, collaborate closely with business stakeholders, and operate systems in real-world conditions. The ideal candidate is hands-on, pragmatic, and comfortable owning features from design through deployment.

Please Note

We are not able to provide any sponsorship.
Local candidates are preferred for this onsite role.

Key Responsibilities

Design, build, and maintain scalable SaaS applications using Next.js and/or Node.js.
Own full-stack development across frontend, backend APIs, and data integrations using JavaScript / TypeScript.
Design, deploy, and maintain AWS infrastructure using Terraform, including services such as VPC, EC2/ECS/EKS (as applicable), S3, CloudWatch, and IAM.
Implement and operate CI/CD pipelines, monitoring, and observability to support production systems.
Support and evolve large, long-lived codebases, focusing on performance, maintainability, and reliability.
Collaborate with product and business stakeholders to translate requirements into technical solutions.
Participate in on-call support (including occasional weekends) for production systems.
Work closely with a distributed team via Zoom during overlapping US working hours.
Design technical solutions, translate business requirements into actionable plans, and present updates to stakeholders.

Required Skills & Experience

4+ years of experience building SaaS applications using Next.js and/or Node.js.
Strong full-stack development skills with JavaScript / TypeScript.
Hands-on experience with AWS cloud infrastructure and Terraform for infrastructure as code.
Solid understanding of DevOps practices, including CI/CD, monitoring, logging, and production support.
Experience working with production systems, large codebases, and real-world operational constraints.
Ability to reason about system design, trade-offs, and scalability.
Comfortable collaborating in a remote-first environment and communicating clearly with technical and non-technical stakeholders.
Excellent communication and presentation skills.

AI / LLM Exposure (Required)

General awareness of how AI and LLMs are applied in modern software engineering, such as:
API-based LLM integrations (e.g., OpenAI-style APIs)
Developer tooling, copilots, or AI-assisted workflowsPrompting, embeddings, or basic RAG concepts
Exposure may come from professional work, academic projects, personal experimentation, or self-directed learning.
Strong interest in applying AI tools pragmatically to improve developer productivity and product capabilities.

Nice-to-Have Skills

Experience or exposure to big data or analytics systems (e.g., Spark, data pipelines, BI tools).
Experience working in high-growth SaaS or startup environments.
Experience with container orchestration (EKS, ECS, or similar).
Familiarity with modern deployment platforms or tooling (e.g., Vercel, Render, Supabase).

What Success Looks Like in This Role

You can independently deliver production-ready features end-to-end.
You take ownership of both code and infrastructure, not just one or the other.
You understand how modern teams apply AI/LLMs as tooling and product capabilities, even if you’re not an ML specialist.
You make pragmatic engineering decisions that balance speed, quality, and long-term maintainability.

We offer a flexible work environment that supports both in-office collaboration and remote work. While this is not a fully remote position, team members have the flexibility to work remotely when appropriate.

Pay: £60,000.00-£85,000.00 per year

Work Location: In person

Quick apply

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