Ml engineer Work, Jobs in Bexleyheath, Gtl (with Salaries)

Junior Analytics Engineer
Lendable —London
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Machine learning
- Referral programme
AI/ML ENGINEER
Sigma Consulting Group —London
- £60,000 a year
- Full-time
- Hybrid work
- Machine learning
- APIs
- AI
Quick apply
Graduate Analytics Engineer
Lendable —London
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Machine learning
- Referral programme
8d
Principal, Product Designer - AI Incubation Lab
Expedia —London
- £242,000 - £387,000 a year
- Full-time
- Bachelor's degree
- AI
- Communication skills
- Annual leave
- Employee assistance programme
Forward Deployed Engineer
Stuut —London
- £150,000 - £240,000 a year
- Full-time
- Sales
- APIs
- AI
- Annual leave
9d
Protection Scientist Engineer, Integrity
OpenAI —London
- £220,000 - £425,000 a year
- Full-time
- SQL
- Machine learning
- Software development
Analytics Engineer
Lendable —London
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Machine learning
- Referral programme
14d
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
6d
Head of Engineering
Xapien —London
- £150,000 - £180,000 a year
- Full-time
- Hybrid work
- Agile
- AI
- Leadership
- Life insurance
ML Engineer
The Football Association —Wembley Stadium
- Full-time
- Hybrid work
- Azure
- English
- Machine learning
- Annual leave
5d
AI/ML Engineer
Future Works —London
- Remote
- Master's degree
- Machine learning
- Contracts
6d
AI Research Engineer
Normal Computing Corporation —London
- £300,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- AI
Senior Analytics Engineer
Lendable —London
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Machine learning
- Referral programme
Analytical Engineer
Claims Recruitment Services —Reigate
- SQL
- AWS
- Python
14d
Senior ML Engineer (Reinforcement Learning)
Applied Data Science Partners —London
- Hybrid work
- SQL
- Analysis skills
- Maths
- Annual leave
6d
Product Engineer (Transcription)
Granola —London
- Full-time
- No experience needed
- APIs
- AI
- Relocation assistance
Senior Product Engineer
Alecto Legal —London
- £100,000 - £125,000 a year
- Full-time
- Hybrid work
- Machine learning
- Financial services
Quick apply
Senior ML Engineer
Fractal Analytics —London
- Full-time
- System design
- Analysis skills
- Machine learning
QA Engineer
Hadean —London
- Hybrid work
- DevOps
- Master's degree
- Machine learning
Quick apply
ML Ops Engineer
CMC Markets —London
- Full-time
- System design
- APIs
- Python

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Junior Analytics Engineer

Lendable -
London

Apply Now

Job details

Full-time

Benefits

Referral programme
Car scheme

Qualifications

Data modelling
SQL
Analysis skills
Machine learning
Data warehouse

Full job description

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

One of the UK’s newest unicorns with a team of just over 700 people
Among the fastest-growing tech companies in the UK
Profitable since 2017
Backed by top investors including Balderton Capital and Goldman Sachs
Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

We're looking for a Junior Analytics Engineer to join the analytical foundation for our US Cards team, the fastest-developing area of the business. In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to help improve how data is structured, transformed, and consumed across the company.

The role is fundamentally about contributing to a strong analytical foundation: helping teams move from question to insight quickly, while improving data quality, scalability, and maintainability.

You'll be supported by experienced engineers and given the space to grow — picking up new skills, deepening your SQL and dbt knowledge, and building confidence across a modern data stack.

What you'll be doing

Contributing to the data models that support credit decisions, origination, portfolio analysis, and investor reporting.
Building and improving dbt models and transformations, guided by senior engineers and in close collaboration with analysts and stakeholders.
Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to help ensure data is modelled and used effectively.
Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.
Supporting the scaling of our data infrastructure as the business grows.

Our modern data stack

You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.

What we're looking for

We're looking for someone with solid analytics engineering fundamentals - or the drive to develop them - and the curiosity to apply them in a fast-moving environment.

More specifically, we’re looking for:

Essential:

Solid SQL skills and a willingness to keep improving them.
Some hands-on experience with dbt or ELT pipelines.
A collaborative working style and clear communication across technical and non-technical stakeholders.
A growing understanding of data modelling and how analytical datasets should be structured for reliability and usability.
Comfort using AI tools to move faster and improve the quality of your work.

Desirable:

Experience with Snowflake or another modern cloud data warehouse.
An interest in learning from and eventually supporting analysts through shared patterns and good practices.
Fintech or scale-up experience

Interview process

Initial call
Take Home Task
Technical Interview
Culture Interview

Life at Lendable

Winning team: the opportunity to scale up one of the world’s most successful fintech companies
Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
Health coverage: support for your physical and mental wellbeing, including private health cover
Retirement & savings: long-term financial wellbeing through retirement savings plans
Employee referral programme: earn a competitive bonus when you refer successful new team members
Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

Check out our blog!

Apply Now

Refine Your Search

ml engineer jobs in bexleyheath, gtl

Junior Analytics Engineer

AI/ML ENGINEER

Graduate Analytics Engineer

Principal, Product Designer - AI Incubation Lab

Forward Deployed Engineer

Protection Scientist Engineer, Integrity

Analytics Engineer

AI Engineer

Head of Engineering

ML Engineer

AI/ML Engineer

AI Research Engineer

Senior Analytics Engineer

Analytical Engineer

Senior ML Engineer (Reinforcement Learning)

Product Engineer (Transcription)

Senior Product Engineer

Senior ML Engineer

QA Engineer

ML Ops Engineer

I want to receive the latest job alerts for ml engineer in bexleyheath, gtl

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