AI Engineer

Fundment Limited

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 hours ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Pension 6% contribution
BUPA Private Health Insurance
Medicash Cashplan
Travel insurance
Life Assurance 4x salary
Employee Assistance Programme
28 days annual leave
Compassionate leave
Hybrid work in Fitzrovia

Job summary

Fundment is a fast-growing wealth infrastructure company redefining the UK wealth management landscape from London. This role shapes Fundment’s AI capabilities from the ground up, reporting to the Head of Data & Analytics, and joining a team of experienced AI engineers building solutions that reduce admin work and improve client service.

The successful candidate will design AI-powered systems, implement MLOps, govern models, and collaborate with cross-functional teams to scale our platform while

Qualifications

  • 5+ years in data-driven systems or AI engineering.
  • Bachelor’s or Master’s degree in CS/Engineering or related field.
  • Excellent written and verbal communication and interpersonal skills.

Responsibilities

  • Design and deliver AI-powered systems to streamline tasks and support clients.
  • Build and deploy robust AI solutions with production-ready tooling.
  • Establish governance with model registries and deployment standards.
  • Collaborate with cross-functional teams to scale AI capabilities.
  • Translate business requirements into technical specifications and roadmaps.

Skills

Data-driven systems
AI engineering
Python
SQL
Docker
Terraform
LLMs
RAG
AI agents
MLOps

Education

Bachelor’s or Master’s degree in CS/Engineering or related field

Tools

Docker
Terraform
GCP Vertex AI
Vertex AI Pipelines
Model Registry

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.
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior AI Engineer - FinTech ML & MLOps
Senior AI Engineer - FinTech ML & MLOps

Fundment Limited • Greater London

Hybrid
GBP 90,000 - 130,000
Pension 6% contribution
BUPA Private Health Insurance
Medicash Cashplan
+6
Senior Cloud Infrastructure Engineer
Senior Cloud Infrastructure Engineer

Fundment Limited • Greater London

Hybrid
GBP 90,000 - 130,000
Pension 6% employer contribution
Private Health Insurance
Life Assurance 4x base salary
+1
Head of AI Platforms & Deployment
Head of AI Platforms & Deployment

Moneybox • Greater London

Hybrid
GBP 120,000 - 180,000
Hybrid working
Private Medical Insurance
Learning and development budget
+5
Engineering Manager - Data & AI
Engineering Manager - Data & AI

ECA International • City Of London

Hybrid
GBP 80,000 - 100,000
Enhanced Stakeholder Pension Contribution
25 days annual leave
Health, Life Insurance + EAP Wellbeing Support
+9
Software Engineer
Software Engineer

FundApps • Greater London

On-site
GBP 80,000 - 90,000
Flexible hybrid working
Private health insurance
Pension contribution 10%
+5
Engineering Tech Lead - Data & AI
Engineering Tech Lead - Data & AI

The ECA International Group • Greater London

On-site
GBP 80,000 - 120,000
Enhanced Stakeholder Pension Contribution
25 days annual leave
Health, Life Insurance + EAP Wellbeing Support
+9
Core AI Engineer
Core AI Engineer

G-Research • Greater London

On-site
GBP 110,000 - 140,000
Highly competitive compensation plus annual discretionary bonus
Lunch provided
30 days annual leave
+5
Principal Machine Learning Engineer
Principal Machine Learning Engineer

Faculty AI • Greater London

Hybrid
GBP 120,000 - 190,000
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
+3
Applied AI Engineer
Applied AI Engineer

Barlowe LLP • Greater London

On-site
GBP 80,000 - 120,000
Highly competitive compensation
Annual discretionary bonus
35 days annual leave
+4
Lead Machine Learning Engineer
Lead Machine Learning Engineer

Faculty Fellowship • Greater London

Hybrid
GBP 90,000 - 140,000
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
+3