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5,076

Ai jobs in United Kingdom

Founding Infrastructure Engineer

Solve Intelligence, Inc.

City of London
On-site
GBP 80,000 - 100,000
30+ days ago
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Product Marketing Manager – REVIEWS.io

AnaVation LLC

Leicester
On-site
GBP 50,000 - 70,000
30+ days ago

Production Strategist

Methodfi

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

2 Dec 2025 BBBH60973 Senior Product Manager - AI 70000.00 - 80000.00 per annum Belfast

Northern Ireland Water Limited

Belfast
On-site
GBP 60,000 - 80,000
30+ days ago

Principal Full Stack Engineer, AI Platform & Agents

Wolters Kluwer

City of London
Remote
GBP 80,000 - 100,000
30+ days ago
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Enterprise Account Executive (Strategic Accounts)

Anecdote, Inc

City of London
On-site
GBP 60,000 - 100,000
30+ days ago

Deployment Strategist

AI Jobster

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

Cs Associate

AI Jobster

City of London
On-site
GBP 60,000 - 80,000
30+ days ago
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AI Engineer at fast-growing AI startup

Jack & Jill

City of London
On-site
GBP 40,000 - 60,000
30+ days ago

Solution Consulting Manager

Genesys

City of London
On-site
GBP 80,000 - 110,000
30+ days ago

CS Associate

AnaVation LLC

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

Deployment Strategist

AnaVation LLC

City of London
On-site
GBP 50,000 - 70,000
30+ days ago

Technical Lead

Methodfi

City of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Senior Research Engineer - Data

Mesh-AI Limited

City of London
Hybrid
GBP 60,000 - 90,000
30+ days ago

Advisor: Child Development & Pediatric Behavioral Health Specialist

C10labs

Cambridge
On-site
GBP 50,000 - 70,000
30+ days ago

Localization Engineer

Methodfi

City of London
Hybrid
GBP 50,000 - 70,000
30+ days ago

Talent Acquisition Lead - Product & Engineering

Methodfi

City of London
Hybrid
GBP 80,000 - 100,000
30+ days ago

Senior Machine Learning Engineer

Compare The Market Limited

City of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Research Assistant (Training Development and Engagement)

University of Glasgow

Glasgow
On-site
GBP 33,000 - 38,000
30+ days ago

Lead Software Engineer . AI Innovation (LS&H)

Clarivate Analytics

City of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Prompt Engineer / AI Engineer

GIMO Global Interactive Marketing Online Ltd

City of London
On-site
GBP 50,000 - 70,000
30+ days ago

Data & AI Service Delivery Manager

Bouygues Construction SA

Ipswich
On-site
GBP 100,000 - 125,000
30+ days ago

Sales Development Manager

OutSystems Inc.

City of London
On-site
GBP 70,000 - 90,000
30+ days ago

Regional Sales Director

OutSystems Inc.

City of London
On-site
GBP 90,000 - 120,000
30+ days ago

Principal Data Scientist & Machine Learning Researcher

Raytheon Technologies Corp

United Kingdom
On-site
GBP 70,000 - 110,000
30+ days ago

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Founding Infrastructure Engineer
Solve Intelligence, Inc.
City of London
On-site
GBP 80,000 - 100,000
Full time
30+ days ago

Job summary

A leading AI startup in London is looking for a talented Infrastructure/SRE Engineer to join their dynamic team. The role involves owning cloud infrastructure, developing CI/CD pipelines, and ensuring observability and reliability. Ideal candidates will have at least 5 years of experience with AWS and Terraform. The company offers competitive salary, equity, and a chance to work with industry leaders in AI.

Benefits

Competitive salary
Significant equity
Full visa sponsorship
Private medical insurance
Free meals

Qualifications

  • 5+ years owning cloud infrastructure at scale, preferably AWS.
  • Expertise with Infrastructure as Code (Terraform or similar).
  • Proven track record in building and maintaining CI/CD pipelines.
  • Strong understanding of cloud networking, autoscaling, and load balancing.
  • Solid understanding of security best practices like IAM and incident response.

Responsibilities

  • Own our cloud infrastructure by designing and maintaining our AWS environment.
  • Build infrastructure patterns for multi-region deployment and tenancy.
  • Create and improve CI/CD pipelines using GitHub Actions and Docker.
  • Ensure observability and reliability through metrics and logs.
  • Optimize performance for AI workloads with low latency and high throughput.
  • Drive best practices in monitoring, deployment, and incident management.
  • Collaborate with application engineers for reliable scaling.

Skills

Cloud infrastructure ownership
Infrastructure as Code
CI/CD pipeline maintenance
Cloud networking
Security best practices
Python

Tools

Terraform
AWS
Datadog
Grafana
Job description

Are you passionate about AI and eager to work on groundbreaking projects? Do you want to be a major part of a rock‑star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the legal landscape? Do you want significant ownership in a startup building something people want with real paying users and significant traction? Here’s your chance!

🏗️ About the role

We are looking for super‑talented infrastructure/SRE engineers to help us build and secure the backbone of our products extremely fast. You’ll be joining the most lean, talent‑dense, and fast‑moving engineering team in London.

You’ll be responsible for:

  • Owning our cloud infrastructure. Design and maintain our AWS environment using Terraform, ensuring reliability, scalability, and cost efficiency.
  • Multi‑region deployment and tenancy. Build infrastructure patterns that let us spin up fully isolated environments across different regions and support single‑tenant customers.
  • Creating and improving CI/CD pipelines. Enable the team to ship safely and quickly using GitHub Actions, Docker, and modern deployment strategies.
  • Observability and reliability. Instrument metrics, logs, and traces with OpenTelemetry, Datadog, and Grafana to detect and resolve issues before users do.
  • Optimising for performance. Tune autoscaling, network routing, and load balancing to handle AI workloads with low latency and high throughput.
  • Infrastructure excellence. Drive best practices in monitoring, deployment, fault tolerance, and incident management.
  • Collaboration. Work closely with application engineers to make sure our infrastructure supports rapid iteration and reliable scaling.
💡About Solve Intelligence

We’re the fastest growing startup building AI products to transform how IP professionals work. We’re building an AI‑powered end‑to‑end platform to help with every aspect of invention harvesting, patent generation, and IP portfolio management (see TechCrunch, Series A announcement).

One year since we started Solve Intelligence as three hackers building cool stuff with AI, we’ve been growing super fast. Our revenue is increasing 20-30%+ month‑on‑month, and we’re now selling to 200+ IP teams across the US, Europe, Asia, and South America. These include some of the largest law firms in the world such as DLA Piper, smaller boutiques, solo practitioners, tech startups, and large enterprises.

Our users love our product, reporting 50-90% efficiency improvements (see our testimonials).

We’re on a high‑growth trajectory, and we’re looking for people who want to join us on the journey to building a billion‑dollar company.

Come join the rocket ship 🚀

👋 Who you’ll work with

Sanj (Chief Research Officer and co‑founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open‑source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com.

Chris (Chief Executive Officer and co‑founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech.

Angus (Chief Technology Officer and co‑founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London‑based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day.

You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go‑to‑market experts.

🛠️ What you bring

As our founding infrastructure & security engineer, you will have extensive experience building software to solve impressively difficult problems through past projects, designs, or GitHub contributions.

Must haves:

  • 5+ years owning cloud infrastructure at scale (AWS preferred).
  • Expert with Infrastructure as Code (Terraform or similar).
  • Proven track record building and maintaining CI/CD pipelines.
  • Strong understanding of cloud networking, autoscaling, and load balancing.
  • Solid understanding of security best practices (IAM, networking, incident response).

Preferred haves:

  • Experience with ECS or container orchestration.
  • Experience with distributed task queues / worker systems (Celery, Sidekiq, Resque, SQS, etc.).
  • Familiarity with observability stacks (Datadog, Prometheus, Grafana, Sentry).
  • Strong Python skills.

Nice to haves:

  • Experience with AI/ML infrastructure.
  • Background in offensive security or CTFs.
🎁 What we offer
  • Competitive base salary depending on skill and experience.
  • Significant equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead.
  • Full visa sponsorship.
  • Opportunity to work with a super smart and ambitious group of people building something people want.
  • Private medical insurance.
  • Free meals.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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