Ai engineer Work, Jobs in London Se1 (with Salaries)

AI Engineer
Xelix —London
- £65,000 - £75,000 a year
- Full-time
- Hybrid work
- Master's degree
- SQL
- AI
- Annual leave
- Employee discount
Quick apply
AI Engineer
The AA —London
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Annual leave
- Employee assistance programme
13d
AI Engineer
ClearRoute —London
- Hybrid work
- Azure
- AWS
- APIs
AI Solutions Engineer
HeadFirst B.V. —London
- £4,000 - £8,500 a month
- Full-time
- Hybrid work
- Bachelor's degree
- JavaScript
- AI
Quick apply
AI Engineer
Bunch —London
- £100,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- No degree
Quick apply
5d
AI Engineer
RELX —London
- Full-time
- Azure
- Computer Science
- Engineering
- Employee assistance programme
- Employee discount
13d
AI Deployment Engineer - Startups
OpenAI —London
- Full-time
- Hybrid work
- AI
- Relocation assistance
Applied AI Solution Engineer - Kearney Activate
Kearney —London
- Full-time
- Azure
- Master's degree
- SQL
AI Platform Engineer (EU/UK Based - Remote)
Duvo Inc —London
- £110,000 - £250,000 a year
- Full-time
- Remote
- System design
- APIs
- AI
Graduate AI Engineer
Scrumconnect Consulting —Staines-upon-Thames
- £27,000 a year
- Monday to Friday
- Hybrid work
- Azure
- Computer Science
- No experience needed
- Flexible schedule
12d
Applied AI Engineer
Colibri Digital —London
- Remote
- Azure
- Computer Science
- AWS
Quick apply
AI Engineer
Travtus —London
- £60,000 - £80,000 a year
- Full-time
- Hybrid work
- Master's degree
- Contracts
- APIs
AI Engineer
Elsevier —London
- Full-time
- Azure
- Computer Science
- Engineering
- Employee assistance programme
- Employee discount
13d
AI Engineer - Platform & Assistant
Build Technologies —London
- £125,000 - £225,000 a year
- Full-time
- Master's degree
- APIs
- AI
Quick apply
Graduate Programme: AI Graduate Engineer
Compass Group UK —London
- Computer Science
- Engineering
AI Engineer
IFS —London
- Full-time
- SQL
- AWS
- APIs
BCG X Forward Deployed AI Engineer, United Kingdom
Boston Consulting Group —London
- Full-time
- Doctoral degree
- Python
Applied AI Engineer
Revolut —London
- SQL
- Machine learning
- AI
AI Engineer
Orbital —London
- Full-time
- Hybrid work
- English
- APIs
- IT
- Annual leave
- Flexible schedule
Generative AI Engineer
Bridewell —London
- Full-time
- Hybrid work
- Analysis skills
- JavaScript
- Travel
Quick apply

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AI Engineer

Xelix
London

Quick apply

Job details

Full-time
£65,000 - £75,000 a year

Benefits

Cycle to work scheme
On-site gym
Annual leave
Employee discount

Qualifications

Law
Master's degree
SQL
Pandas
AI
Python

Full job description

About us

At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows.

Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.

In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.

About the role

We are hiring an AI Engineer to join our growing AI Engineering team. You’ll design and build production AI systems — combining machine learning, large language models, and strong engineering — to solve real problems across documents, email, and financial data.

We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level — focusing on system design, product thinking, and solving complex problems.

What you'll be doing

AI Systems & Agents: design and build production AI systems — including agent-based workflows, tool use, and multi-step reasoning.

Model Development & Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches.

LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost.

Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems.

Evaluation & Iteration: design evals, measure performance rigorously, and improve systems using real-world feedback.

AI-Assisted Development: use modern AI coding tools to move faster while maintaining high standards.

Collaboration: work closely with product and engineering teams to deliver high-impact features.

What you’ll bring

Experience: 2–5 years building and shipping ML or AI-powered systems into production.

Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments.

AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents).

Systems Thinking: ability to reason about trade-offs (accuracy, latency, cost, reliability) and design accordingly.

Data Skills: SQL, pandas, and experience working with messy real-world data.

AI-Native Workflow: comfortable using AI-assisted coding tools effectively.

Curiosity & Ownership: proactive in exploring new approaches and improving existing systems.

Collaboration: strong cross-functional working style.

What we offer in return

Competitive salary of £65,000 to £75,000 depending on experience

️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days

Hybrid working with two days a week from our dog-friendly Hoxton office

On-site gym and cycle to work scheme

️ Employee discount at over 100 retailers

Comprehensive private medical & dental cover with Vitality

Enhanced parental leave pay

Learning & development culture – £1,000 personal annual budget

We’re carbon-neutral and are working towards ambitious carbon reduction goals

Lots of team socials & activities

️ Annual team retreat

Want to learn more?

About us
Xelix blog
Xelix news
Xelix glassdoor

We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!

If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.

This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.

Interview Process
While the exact process may vary slightly depending on the role, our typical interview stages are:

Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team.
Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach.
Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office.

We strive to make the process clear, efficient, and respectful of your time.

Quick apply

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ai engineer jobs in london se1

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