Phd à Grande-Bretagne

We are not your typical consultancy firm; with over 250 credit risk, actuarial and market risk consultants. Our colleagues own a significant share of the business, and we have ambitious plans to grow even further.

As experts in our field, we are passionate about what we do and embrace diversity; we've created a fun and innovative environment where technical minds flourish. Individual success is not measured by the size of your team or the hours you work, it's the unique value you bring to the community. We want our people to think differently and challenge the status quo.

Our people are our biggest asset, having been voted the Best Company to work for at the 2023 Credit Strategy Awards, Best Management Consultancy Firm MEA Finance UAE 2022 and Women in Credit Employer of the Year for 2022, our awards speak for themselves.

Generative AI is transforming financial services, offering unprecedented opportunities for optimisation, enhanced decision-making, growth and new revenue streams. A dynamic Gen AI system design and development capability is crucial for realising this potential and gaining a competitive advantage. Our team delivers cutting‑edge AI and agentic solutions enabling our clients, and our own colleagues, to thrive.

The Artificial Intelligence SME is part of a multidisciplinary group of data scientists and engineers that bring the value of AI to our clients and our own organisation.

Developing our consultants to be AI experts and leading AI projects that put our clients at the cutting edge of generative AI capability is key to the role. You will provide technical leadership on responsible AI governance, use of commercial AI applications and core development of AI enhanced services and SaaS products. Helping to keep the wider organisation informed about progress, advances in AI, and the future of automation technology is all part of the job.

• Be the leading AI technical specialist at 4most, supporting a wide range of clients, consultants, engineers, commercial colleagues and support staff.
• Providing technical and project guidance, hands‑on problem solving, developing of pioneering AI systems and inspiring others through internal and external talks and publications.
• Working closely with 4most leadership and the AI & Engineering Group to set and evolve the strategic direction of the organisation regarding generative AI.
• Designing and promoting good practice in AI system design and implementation focussing on reproducibility, resilience, performance and cost.

• Design, implement and evolve the AI services and products ensuring 4most are a forward thinking, tech first organisation in a rapidly changing world.
• Develop a forward‑looking approach to supporting clients with their AI related needs, future proofing 4most's service and product offerings to meet emerging client demand.
• Support 4most's AI strategy by developing the best AI enhanced products and systems for 4most and their clients.

• Undertake design and hands‑on development of AI systems for both client and internal projects.
• Maintain and evolve 4most's AI services and product offerings in collaboration with our Commercial AI & Engineering Group leads.
• Facilitate the education and awareness of 4most consultant pool regarding AI, engineering & associated technology and ways of working.
• Regularly support technical pre‑sales meetings with clients and help them unlock the value in their business through practical application of AI.
• Act as an AI expert in internal and external forums to support 4most and its clients.

• Promote and build the reputation of 4most as an informed, effective and delivery focused provider of cutting‑edge AI.
• Represent 4most at events, within industry or public bodies to develop the commercial and learning opportunities of the organisation.
• Collaborate with cross‑functional teams to address issues and opportunities for consultants, promoting a culture of collaboration and mutual support.

• Between 2 and 4 years of proven, hands‑on experience designing and implementing AI or automation projects and products which have demonstrable impact on value and organisational performance.
• Ph.D. or Master's in Computer Science or related STEM field.
• Proven expertise in NLP, LLMs, AI agents and knowledge of ML and Deep Learning techniques.
• Experience of working in AI/MLOps driven environments.
• Demonstrated ability to foster collaboration across functions, working seamlessly with product, engineering, IT and commercial teams. Complimented by a toolset that supports this e.g. product management tools such as GitHub, Azure DevOps, Jira, Confluence etc.
• Solid engineering experience backed up with experience of working in a tech first, DevOps, Cloud, CI/CD & infrastructure as code (IAC) driven team that knows the value of high standards of design, development and coding from the initiation of the project.
• Proven track record of actively executing tasks and driving projects to completion, focussing on completed deliveries for real value as opposed to experimentation and PoCs.
• Skilled in partnering with clients, technologists and your peers to bring AI ideas to life.
• Ability to explain and champion complex AI and agentic concepts to diverse stakeholders.
• Expertise in Python and at least one other AI/ML development or data related language is required.
• Experience with Databricks is strongly preferred.
• Experience with Azure or AWS is desirable.

Salary dependant on experience plus:

• 25 days' holiday (freedom holiday scheme).
• Annual bonus.
• 50% sponsorship towards relevant courses (e.g. professional qualification, Masters, PhD etc.).
• Private health insurance.
• Juno wellbeing platform (£50 per month to spend on anything to help with wellbeing; £50 per month to spend on anything fitness‑specific).
• Pension (4most matches contributions between 4.5% and 6% of your basic salary).
• Death‑in‑service life assurance at 3x salary.
• Income protection.
• Phone bill expenses of up to a maximum of £40.
• Electric Vehicle scheme.
• Cycle‑to‑work scheme.

Department AI/ML Products & Services Locations Leeds Remote status Hybrid