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1,910

Artificial Intelligence jobs in United Kingdom

Responsible AI Data Scientist

FactSet

City Of London
On-site
GBP 100,000 - 125,000
30+ days ago
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Management Consultant - M&A Tech & AI

Michael Page (UK)

City Of London
On-site
GBP 90,000 - 105,000
30+ days ago

AI Developer

Aggreko

Glasgow
On-site
GBP 45,000 - 65,000
30+ days ago

Senior Product Manager - Machine Learning and AI

Wise

City Of London
On-site
GBP 88,000 - 118,000
30+ days ago

BCG X AI Engineer, United Kingdom

Boston Consulting Group

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago
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AI Engineer

P2P

City Of London
On-site
GBP 75,000 - 95,000
30+ days ago

Fullstack AI Engineer - SC Cleared - Outside IR35

iO Associates

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

Senior AI Engineer

Burns Sheehan

City Of London
Hybrid
GBP 90,000 - 130,000
30+ days ago
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Product Support Engineer (AI/LLM)

Remotestar

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

Head of Digital & AI

La Fosse Associates

Milton Keynes
Hybrid
GBP 110,000 - 115,000
30+ days ago

AI Governance and Risk Manager

Herbert Smith Freehills LLP

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

AI Solution Architect - Utilities

Hamilton Barnes Associates Limited

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

Lead AI Engineer

Burns Sheehan

City Of London
Hybrid
GBP 120,000 - 140,000
30+ days ago

Manager, Data Science & AI - Data Science, Belfast, Derry/Londonderry

EY

Derry/Londonderry
On-site
GBP 50,000 - 70,000
30+ days ago

AI Platform Engineer

Sabio Group

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

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

WeAreTechWomen

City Of London
Hybrid
GBP 65,000 - 95,000
30+ days ago

AI Native Product Engineer

LinuxRecruit

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago

AI Solutions Engineer

Sabio Group

City Of London
Hybrid
GBP 60,000 - 80,000
30+ days ago

Sales Executive - Medical Imaging Analysis AI

Xpandium Coberon Ltd

City Of London
On-site
GBP 40,000 - 60,000
30+ days ago

Product Manager - Scientist Workflows (Agentic AI)

Colossyan

City Of London
Hybrid
GBP 55,000 - 75,000
30+ days ago

Manager Conversational AI

Philip Morris International

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

UK Director - Intelligent Transformation & Full Stack AI Consulting

Riverflex

City Of London
Hybrid
GBP 100,000 - 140,000
30+ days ago

AI & Automation Deployment Lead

Zinc

City Of London
Hybrid
GBP 70,000 - 80,000
30+ days ago

Counsel - Privacy, Security & AI Office

Menlo Ventures

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

AI Inference Engineer

Pantera Capital

City Of London
On-site
GBP 141,000 - 179,000
30+ days ago

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Responsible AI Data Scientist
FactSet
City Of London
On-site
GBP 100,000 - 125,000
Full time
30+ days ago

Job summary

A leading financial solutions provider is seeking a Responsible AI Data Scientist to drive their Responsible AI strategy. This role requires collaboration across teams to embed AI principles into products and processes. The ideal candidate will have a strong data science background, Python programming skills, and experience in stakeholder management. Additional benefits include a competitive package and a supportive work environment promoting well-being and career development.

Benefits

Health, life, and disability insurance
Retirement savings plans
Flexible work accommodations
Paid time off for holidays
Career progression plans

Qualifications

  • Data Science experience or degree.
  • Experience with AI/ML including LLMs.
  • 3+ Years in stakeholder management.

Responsibilities

  • Evaluate risks and participate in RAI processes.
  • Conduct statistical analysis on AI/ML models.
  • Collaborate with teams to implement corrective actions.
  • Help establish risk assessment frameworks.

Skills

Data Science experience
AI/ML technical background
Python programming skills
Stakeholder management
Legislative awareness on AI

Tools

PyTorch
Job description
Overview

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do, guiding how we act, decide, and treat each other, clients, and communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.

About FactSet

FactSet creates flexible, open data and software solutions for over 180,000 investment professionals around the globe. We stay ahead of global market trends, power robust company and industry research, and provide comprehensive data with our market-leading solutions. We believe today's talent powers tomorrow's innovations. As a globally inclusive community, we bring our whole selves to work, and encourage employees to contribute and grow.

The Opportunity

We are seeking a Responsible AI Data Scientist to help drive FactSet's Responsible AI (RAI) strategy. This role combines data science expertise, statistical evaluation, and risk management with the ability to work across teams to ensure that AI solutions are developed and deployed responsibly. You will design and run experiments, develop risk reduction tools, and participate in our RAI risk assessment process. Working closely with project teams, product managers, and software engineers, you will play a central role in embedding RAI principles into our products, processes, and culture.

What You'll Do
  • Evaluate and manage risks: Participate in the RAI intake and risk assessment process, identifying product deficiencies and risks.
  • Statistical analysis & modeling: Apply data science methods to evaluate AI/ML models, their performance, and potential biases.
  • Experimentation & best practices: Suggest experiments, define standards, and build/run risk reduction tools that help teams meet RAI standards.
  • Tooling & automation: Work with engineering teams to create tools for areas of high risk (e.g. model explainability, bias detection).
  • Stakeholder collaboration: Partner with project teams and business units to ensure corrective actions are implemented.
  • Process development: Help establish the RAI intake process and contribute to setting up the risk assessment framework as a product capability.
  • Training & guidance: Support teams in adopting RAI principles and practices.
Minimum Requirements
  • Data Science experience or degree.
  • AI/ML technical background, including experience with LLMs.
  • Python programming skills.
  • 3+ Experience in stakeholder management across technical and non-technical teams.
  • Awareness of the legislative landscape and regulations related to AI and data privacy
Critical Skills
  • Strong ability to evaluate and explain models (statistical and ML-based).
  • Experience building or using risk assessment frameworks for AI/ML.
  • Strong understanding of RAI, MLOps, and Data Science fundamentals.
  • Excellent collaboration, communication, and project management skills.
Nice to Have
  • Experience with PyTorch or other ML frameworks.
  • Prior experience in risk management or compliance.
  • Experience building explainability tools or model monitoring systems.
What\'s In It For You

At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:

  • Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor and led by a top-rated CEO Talent Champion.
  • Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days.
  • Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
  • A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions.
  • Career progression plans with dedicated time each month for learning and development.
  • Employee-led Business Resource Groups that align with our DE&I strategy and are wholly supported by Executive Management.

Learn more about our benefits here.

Company Overview

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees\' Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

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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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