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Fundment on cord

Fundment

AI Engineer

London, UK
Finance · FinTech
A modern adviser platform - because great financial advice deserves great execution.
Active
2 hours ago
Responds to
100% of requests
Responds in
a day
Requests
1 pending
Conversations
8 started

Skills & Experience

Job roles: AI Engineer
Experience level: Senior
Tech stack/tooling used: Artificial Intelligence, Machine Learning, SQL, Python, Docker, Terraform, LLMs (Large Language Models), RAG, Agentic AI, GCP
Core skills considered: Artificial Intelligence, Machine Learning, SQL, Python, Docker
Other skills considered: Terraform, LLMs (Large Language Models), RAG, Agentic AI, GCP

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Fundment is a fast-growing wealth infrastructure company, building on our cutting-edge digital investment system to transform the £3 trillion UK wealth management market. We are passionate about revolutionising the investment experience for financial advisers and their clients by combining our innovative proprietary technology with exceptional customer service. As we scale, we are growing our multi-disciplinary Data, Analytics & AI function to unlock the full potential of our data assets. About the Role
With our highly scalable technology platform, we are poised to lead the transformation of the wealth adviser industry. Our strategy has always been centred around reducing friction for advisers in their administrative work. AI opens up the next level when it comes to automation and simplification.
This is a high-impact, hands-on role with the opportunity to shape Fundment’s AI capabilities from the ground up. Reporting to our Head of Data & Analytics, you will join a team of highly experienced AI engineers focused on building innovative solutions that make life easier for advisers and Fundment employees alike.
At the heart of the role is the design and delivery of AI-powered systems that streamline administrative tasks, automate communications, and uncover smarter ways to support clients. This is a unique opportunity to play a key role in transforming the day-to-day operations of the wealth advisory industry and driving meaningful change at scale.
Key Responsibilities:
AI Product Development:
  • Work with the wider business to explore challenges and opportunities for both internal and external users. Assess potential impacts to ensure we focus on projects that maximise our contribution to the business.
  • Build industry-leading, innovative and robust AI solutions that delight our customers and drive business growth through less admin effort and more time with clients.
  • Leverage our diverse range of internal multi-modal data (including time-series data, documents, emails and phone calls) to develop AI systems to enhance the quality and efficiency of our internal operations.
AI/ML Operations:
  • Ensure robust model governance by maintaining a comprehensive model registry with version control and deployment standards across all production models.
  • Define success metrics for AI solutions and implement advanced production model monitoring, tracking key metrics like prediction latency and model performance decay.
  • Design and build end-to-end MLOps pipelines to drive continuous improvement in AI system performance.
Empowering Colleagues & Stakeholders:
  • Work closely with colleagues in the AI team to build out reusable components that allow our AI tooling to scale.
  • Translate requirements into technical specifications and project plans, overseeing execution from conception to production.
  • Collaborate with cross-functional teams across the company to help both technical and non-technical users leverage our AI capabilities in an optimal and secure way.
Core Skills/Experience
  • Experience: Proven experience (5+ years) in data-driven systems or AI engineering
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Communication: Excellent written and verbal communication, presentation and interpersonal skills
Core Technical skills:
  • Advanced proficiency in SQL for data manipulation and analysis
  • Advanced proficiency in Python and preferably other programming languages
  • Experience with containerisation technologies including Docker.
  • Experienced with Infrastructure as Code (e.g. Terraform)
AI Experience:
  • Experienced in building AI systems using LLMs, RAG and AI agents.
  • Experienced in turning AL/ML prototypes into robust production systems
  • Experience with AI/MLOps pipeline and production monitoring systems
Preferred Skills/Experience
  • Experience in a startup or high-growth environment.
  • Knowledge of data privacy and AI regulation, preferably within financial services
  • Experience in building the infrastructure and tools to support effective A/B testing and experimentation.
  • Experience in GCP Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints.
  • GCP Professional Machine Learning Engineer certifications.
Our Values at Fundment:
  • Collaborative: We listen, communicate, and work together to achieve shared goals.
  • Innovative: We constantly seek new ways to push the boundaries and improve our solutions.
  • Supportive: We lift each other up, creating an environment where everyone can grow and succeed.
  • Flexible: We adapt to the evolving needs of our team and clients, ensuring work-life balance and effective outcomes.
  • Trustworthy: We build trust through consistency, transparency, and delivering on our promise.

Company Benefits

  • Be part of a modern, inclusive, high-trust engineering culture
  • Take ownership and ship code that directly improves client outcomes
  • Work with a smart, friendly team that values balance, growth, and support
  • Pension 6% employer contribution, minimum 2% employee contribution.
  • BUPA Private Health Insurance – fully paid for by the company, for you and your immediate family.
  • Medicash Cashplan – fully paid for by the company, for you and your immediate family.
  • Travel insurance – fully paid for by the company, for you and your immediate family.
  • Life Assurance – 4 x base salary.
  • Employee Assistance Programme
  • 28 days annual leave plus bank holidays.
  • Paid compassionate leave – up to 5 days per year.
  • Enhanced paternity/maternity/adoption leave
  • Jury service – 10 days at full pay.
  • Hybrid working arrangements – 3 days per week in the Fitzrovia office.
  • Coaching&Counselling sessions
  • Training Budget
  • Annual pay review
  • Annual training budget

Interview Process

TBC

Skills of candidates in conversation

Python
Machine Learning
Artificial Intelligence
Agentic AI
LLMs (Large Language Models)
Emma on cord
Head of People
Active 2 hours ago
Emma on cord
AI Engineer at Fundment
Message Emma  ·  Typically responds in a day

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Photos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling Bank
Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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