AI Enablement Specialist in London

AI Enablement Specialist in London

London Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Jobs via eFinancialCareers

At a Glance

  • Tasks: Drive AI transformation by solving real business problems and creating impactful solutions.
  • Company: Join a leading global investment firm at the forefront of AI innovation.
  • Benefits: Enjoy flexible working, competitive holidays, and opportunities for personal growth.
  • Other info: Inclusive culture with a focus on work-life balance and community engagement.
  • Why this job: Be a key player in shaping the future of AI in investment management.
  • Qualifications: 5-8 years in tech delivery with strong Python skills and stakeholder management.

The predicted salary is between 60000 - 80000 € per year.

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi‑manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Team Man Group has been at the forefront of applying technology and data science to investment management for over three decades. Today, that legacy is driving a firm‑wide AI transformation with over 1,500 employees using our AI platform daily, adoption has reached a critical inflection point and momentum continues to build.

We’re now hiring an AI specialist to partner with teams across the business, turning that momentum into tangible, measurable outcomes. This role is not a pure research or engineering position; it sits at the intersection of business problems and AI capabilities, and makes things happen.

Role Responsibilities

  • Accelerate education and engagement
    • Become the person people come to when they want to understand what’s possible with AI at Man
    • Run workshops, pair‑building sessions, and demos that turn sceptics into users and users into builders
    • Help leaders in each business unit define their highest‑value AI projects and build the skills to deliver them
    • Create reusable patterns, templates, and playbooks that scale your impact beyond 1:1 engagements
  • Solve real business problems with AI
    • Embed with business units to understand their processes, pain points, and opportunities at a detailed level
    • Rapidly prototype AI‑powered solutions using Python, LLM APIs (Anthropic Claude, OpenAI), and the MAIA platform (our internal platform)
    • Build end‑to‑end solutions, from scoping the problem with stakeholders through to a working tool they can use
    • Focus on time‑to‑value: ship early, iterate fast, measure outcomes
  • Drive process transformation
    • Map end‑to‑end business processes and identify where AI creates the highest leverage
    • Design AI‑first workflows that don’t just automate the existing process but reimagine it
    • Work with the strategy team to deliver cross‑cutting improvements that benefit multiple business units
    • Build the business case: define metrics, measure before and after, present outcomes to leadership
  • Build the AI product knowledge
    • Become an expert in MAIA’s capabilities and roadmap
    • Stay current on AI tooling, techniques, and best practices and translate them into practical applications for Man
    • Bridge between the AI engineering team and the business, translating requirements in both directions
    • Contribute to the platform by building skills, integrations, and workflows that become part of MAIA’s shared capability

Key Competencies

Essential

  • 5–8 years of experience in roles that combine technical delivery with business problem solving (e.g., AI/ML engineering, management consulting, product management for AI/data products, or solutions engineering)
  • Python skills: ability to build prototypes, work with APIs, process data and help design features
  • Hands‑on experience with LLMs and understanding of prompting, RAG, tool use, agents and practical limitations
  • Exceptional stakeholder skills: earn trust of senior portfolio managers, operations heads, or sales leads; listen before solving; communicate clearly to technical and non‑technical audiences
  • Bias for action: ship working prototypes quickly rather than awaiting perfect specifications
  • Systems thinking: view a business process as a system with inputs, transformations, outputs, feedback loops, and bottlenecks

Advantageous

  • Financial services experience, especially asset management, investment operations, or capital markets
  • Experience with enterprise AI deployments at scale
  • Familiarity with MCP (Model Context Protocol), agent frameworks, or AI workflow orchestration
  • Experience training or educating others on AI tools and techniques
  • Understanding of data engineering: pipelines, integrations, data quality, metadata management

Inclusion, Work‑Life Balance and Benefits

We champion equality of opportunity and believe inclusion is fundamental to our culture. You’ll find opportunities to grow, develop talents, and foster an inclusive environment across our firm and industry. Our benefits include competitive holiday entitlements, pension/401k, life and long‑term disability coverage, group sick pay, enhanced parental leave and long‑service leave. Depending on location, additional benefits such as private medical coverage, gym membership and pet insurance may be available. You’ll also enjoy flexible working arrangements and two annual Mankind days of paid leave for community volunteering.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident and Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact us.

AI Enablement Specialist in London employer: Jobs via eFinancialCareers

At Man Group, we pride ourselves on being an exceptional employer that fosters a culture of inclusion and continuous growth. As an AI Enablement Specialist, you'll have the opportunity to work at the forefront of AI transformation in investment management, collaborating with diverse teams to drive meaningful change while enjoying competitive benefits, flexible working arrangements, and a commitment to your professional development.

Jobs via eFinancialCareers

Contact Detail:

Jobs via eFinancialCareers Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Enablement Specialist in London

Tip Number 1

Get to know the company inside out! Research Man Group's values, recent projects, and their approach to AI. This will help you tailor your conversations and show that you're genuinely interested in what they do.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!

Tip Number 3

Prepare for those interviews by practising common questions related to AI and business problem-solving. Think about how your experience aligns with the role and be ready to share specific examples of your past successes.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Man Group.

We think you need these skills to ace AI Enablement Specialist in London

Python
AI/ML Engineering
API Integration
Stakeholder Management
Prototyping
Systems Thinking
Data Processing

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the AI Enablement Specialist role. Highlight your experience with AI, Python, and stakeholder management, showing how you can bridge the gap between technical and business needs.

Showcase Your Problem-Solving Skills:We want to see how you've tackled real business problems using AI in the past. Share specific examples where you've delivered measurable outcomes, as this will demonstrate your ability to drive process transformation.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and skills, making it easy for us to see how you fit into the role without getting lost in jargon.

Apply Through Our Website:Don't forget to submit your application through our website! This ensures that your application gets to the right people quickly and helps us keep track of all candidates efficiently.

How to prepare for a job interview at Jobs via eFinancialCareers

Know Your AI Stuff

Make sure you brush up on your knowledge of AI tools and techniques, especially those relevant to the role. Familiarise yourself with Python, LLM APIs, and the MAIA platform. Being able to discuss these confidently will show that you're ready to hit the ground running.

Understand the Business

Dive deep into Man Group's business model and how AI can solve real problems for them. Think about specific examples where AI could create value in their processes. This will help you demonstrate your understanding of their needs and how you can contribute.

Showcase Your Stakeholder Skills

Prepare to discuss how you've built trust with stakeholders in previous roles. Be ready to share examples of how you've communicated complex technical concepts to non-technical audiences. This is crucial for the role, so make it a key part of your interview prep.

Be Ready to Prototype

Since the role involves rapid prototyping, think of a few ideas for AI-powered solutions you could propose during the interview. Show your bias for action by discussing how you'd approach building a prototype quickly and iterating based on feedback.