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8,773

Machine Learning jobs in United Kingdom

Staff Product Engineer, AI

Intercom

City Of London
Hybrid
GBP 80,000 - 100,000
30+ days ago
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Senior Pricing Analyst

AXA UK

Manchester
Hybrid
GBP 80,000 - 100,000
30+ days ago

Pricing Models Analyst

AXA UK

Manchester
Hybrid
GBP 35,000 - 55,000
30+ days ago

Senior Research Engineer

Flow Traders

City Of London
On-site
GBP 80,000 - 120,000
30+ days ago

DV Cleared Defence Data Science & ML Consultant

Deloitte LLP

City Of London
On-site
GBP 50,000 - 70,000
30+ days ago
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Fraud Detection Technical Delivery Analyst

Barclays UK

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

Prompt Engineer

Board Intelligence

City Of London
On-site
GBP 80,000 - 100,000
30+ days ago

Computer Vision Engineer

microTECH Global Limited

United Kingdom
Hybrid
GBP 60,000 - 80,000
30+ days ago
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US Customer Operations Team Lead

Lendable

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

Lead Data Scientist - Agentic AI

Macquarie Bank Limited

City Of London
Hybrid
GBP 70,000 - 100,000
30+ days ago

ai Manager

PENTLAND

United Kingdom
On-site
GBP 70,000 - 90,000
30+ days ago

ML Operations Engineer

AXA UK

Manchester
Hybrid
GBP 100,000 - 125,000
30+ days ago

NLP & LLM Engineer (Remote Contract, 6m)

NLP PEOPLE

Salford
Remote
GBP 125,000 - 150,000
30+ days ago

Senior Commercial Account Executive

Zendesk

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

Credit Risk Director, Flex Portfolio Management

Monzo

City Of London
Hybrid
GBP 145,000 - 175,000
30+ days ago

Product Manager AI

Vista Equity Partners Management, LLC

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

Account Executive, Commercial

1Password

City Of London
Hybrid
GBP 45,000 - 65,000
30+ days ago

Integration Lead

Sardine

United Kingdom
Remote
GBP 75,000 - 105,000
30+ days ago

Senior Software Engineer I- (C# .NET / Angular)

LexisNexis

City Of London
On-site
GBP 50,000 - 80,000
30+ days ago

Software Engineering Lead- (AI product)

LexisNexis

City Of London
On-site
GBP 80,000 - 100,000
30+ days ago

Front-Office ML Quant Engineer – Alpha & Trading

Harvey Nash

City Of London
On-site
GBP 80,000 - 120,000
30+ days ago

Head of Market Pricing

AXA UK

City Of London
Hybrid
GBP 120,000 - 150,000
30+ days ago

Software Engineer III- (C#.NET / Angular)

LexisNexis

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

Field Marketing Manager - German Speaking

FICO

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

Site Reliability Engineering Manager, London, UK

Eucalyptus

City Of London
On-site
GBP 70,000 - 100,000
30+ days ago

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Staff Product Engineer, AI
Intercom
City Of London
Hybrid
GBP 80,000 - 100,000
Full time
30+ days ago

Job summary

A leading AI Customer Service firm is seeking a Staff Product Engineer to join their AI Group in London. You will build and enhance AI-powered products, working closely with ML Scientists and shaping the best product experience. Ideal candidates have over 7 years of experience and proficiency in programming languages like Python or Ruby. The role offers competitive compensation, a hybrid work environment, and various benefits.

Benefits

Competitive salary and equity
Free lunch and snacks
Regular compensation reviews
Pension scheme
Life assurance and health insurance
Flexible paid time off
Paid maternity and paternity leave
Cycle-to-Work Scheme and secure bike storage
MacBook or Windows laptop

Qualifications

  • 7+ years of experience shipping high-quality products.
  • Demonstrable significant impact in previous work.
  • Strong technical fundamentals and a love for learning.

Responsibilities

  • Build systems for AI products in PYTHON tech stack.
  • Collaborate with ML Scientists to bring proofs-of-concept to production.
  • Shape the best AI-powered product experience.

Skills

High-level programming languages (Ruby, Python, Javascript)
Software engineering skills
Experience in data analytics

Education

BSc in Computer Science, Maths or Statistics
Job description

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always‑on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What’s the opportunity?

We’re looking for Staff Product Engineers to join the AI Group to build Intercom’s AI‑powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack.

Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‑edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

If you are an experienced product engineer who takes an analytical approach to development and has some hands‑on experience with ML systems, we’d love to hear from you!

What will I be doing?
  • Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.
  • Work alongside our ML Scientists bring proof‑of‑concept code to production; ensuring it’s robust and scalable for real‑world use.
  • Partner with product teams outside of our group, to shape the best AI‑powered product experience for our customers.
  • Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
  • Play an active role in the hiring, mentoring, and career development of other engineers.
  • Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.
Profile we’re looking for
  • 7+ years of experience shipping high‑quality products.
  • No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.
  • You can demonstrate significant impact in the work that you have done.
  • You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
  • Deep knowledge of a high‑level programming language (for example, Ruby, Python, Javascript, etc.) but it doesn’t need to be a language that we use here!
  • Strong willingness to fight for good outcomes
  • Bias towards progress over perfection
  • BSc in Computer Science, Maths or Statistics or related discipline
Bonus skills & attributes
  • Previous experience in data analytics, or statistical role
Benefits
  • Competitive salary and equity in a fast‑growing start‑up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle‑to‑Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we also offer Windows for certain roles when needed.
Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non‑work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Is this role not quite what you’re looking for? Join our Talent Community to stay connected with us.

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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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