Senior Python Engineer - AI at Man Group

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Generative AI, Machine Learning, Software Development Best Practices, TypeScript, React, Next.js, PostgreSQL, Redis, Linux/UNIX, Git, Jira, Slack

Industry

Investment Management

Description

London 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. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 The Team At Man Group, our ambitions for AI are significant. We have a long history of pioneering technology in finance, and this role presents the opportunity to join us, as we work towards leveraging scalable intelligence to fundamentally change how we identify and execute on investment opportunities. We are looking for a high-performing Senior Python Engineer to build solutions that make use of the latest GenAI and Machine Learning techniques and capabilities. This role is at the intersection of technology, generative AI and finance, helping to deliver high-impact, novel solutions that touch every part of our business. Working in our AI team, you will build out the core AI platform and infrastructure used across Man Group. You will also partner and consult with teams across the business to create agents and tools that augment, automate and transform our investment and operational workflows. Role Responsibilities Design, build, and maintain the firm's core AI and Machine Learning platform Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents Actively monitor the latest developments in applied AI to identify, propose, and implement novel AI-powered solutions Proactively engage with teams across the business to promote understanding and adoption of AI tools and capabilities Key Competencies Essential Advanced proficiency in Python, with extensive professional experience in building production applications and services Proven experience working in a formal Python development environment alongside other developers, following software development best practices Demonstrable enthusiasm for AI engineering and Machine Learning Strong academic record to include a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills with the ability to establish and maintain a close working relationship with traders, quantitative researchers, and other stakeholders Advantageous Familiarity with front-end frameworks/languages e.g. TypeScript, React, Next.js Experience integrating with databases such as PostgreSQL and Redis Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine-tuning generative models Experience building tools and technologies within systematic or discretionary investing units Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts Experience with our tooling stack: Linux/UNIX, Git, Jira, Slack Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all 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 Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Responsibilities

The role involves designing, building, and maintaining the firm's core Artificial Intelligence and Machine Learning platform, while partnering with stakeholders to deploy bespoke AI/ML applications and agents. Responsibilities also include monitoring AI developments to propose and implement novel AI-powered solutions and promoting the adoption of AI tools across the business.