At a Glance
- Tasks: Design and develop AI applications that make a real impact in Higher Education.
- Company: Join FDM, a global leader in tech and business talent solutions.
- Benefits: Enjoy career coaching, mentoring, and opportunities for upskilling.
- Other info: Hybrid role in London with excellent prospects for career growth.
- Why this job: Be at the forefront of AI innovation and shape future technology solutions.
- Qualifications: Experience in AI development and cloud technologies is essential.
The predicted salary is between 76500 - 93500 £ per year.
About The Role
FDM is a global business and technology consultancy seeking a Senior AI Developer to work for our client within the Higher Education sector.
This is initially a 3-month contract with very good prospects to extend and will be a hybrid role based in London.
Our client is looking for a hands‑on Senior AI Developer to help establish and grow practical AI capability across its ICT function.
The role will focus on turning agreed use cases into working solutions that demonstrate clear value quickly, while creating a strong foundation for further investment and delivery.
You will work closely with Enterprise Architecture, the AI Product Owner and teams across cyber security, data, integrations, infrastructure and networking.
The initial focus will be on smaller, achievable use cases, including AI assistants that can review technical designs and documentation, identify missing information, assess completeness and check alignment with organisational security, networking and infrastructure standards.
This is primarily a development role rather than a research, strategy or people‑management position.
You will be expected to take ownership of delivery, work independently, engage proactively with stakeholders and build solutions within existing cloud patterns, guardrails and governance standards.
Responsibilities
- Design, develop, test and deploy practical AI‑powered applications, assistants and workflow automations.
- Build Retrieval Augmented Generation (RAG) solutions that use organisational documentation, standards and knowledge sources.
- Develop an initial assistant that can review cloud infrastructure designs, prompt users for missing configuration information, measure document completeness and check alignment with agreed standards.
- Translate prioritised use cases into working proofs of concept and production‑ready solutions that demonstrate measurable value.
- Use prompt engineering and model configuration techniques to improve accuracy, relevance, consistency and user experience.
- Integrate Large Language Models (LLMs) and AI services with existing cloud platforms, enterprise systems, APIs and workflows.
- Work closely with Enterprise Architecture and the AI Product Owner to understand requirements, refine use cases and agree achievable outcomes.
- Collaborate across cyber security, data, integrations, infrastructure and networking to secure the services, access and technical resources required for delivery.
- Ensure solutions follow existing security, data, networking, infrastructure, governance and responsible AI standards.
- Evaluate appropriate models, tools and approaches for each use case, balancing quality, cost, maintainability and delivery speed.
- Apply modern software engineering practices, including version control, testing, code review, CI/CD, monitoring and documentation.
- Contribute reusable development patterns, guidance and good practice as the client's AI capability matures.
- Proactively identify delivery risks, ask the right questions and take ownership from concept through to implementation and handover.
- Support the identification and shaping of future AI opportunities once the first use cases have demonstrated value.
Desirable skills
- Azure AI Foundry and Azure Machine Learning.
- MLOps practices and tools such as MLflow.
- Containerisation and orchestration using Docker and Kubernetes.
- Experience developing copilots, AI agents or multi‑step AI workflows.
- Experience working with enterprise architecture, cloud design, infrastructure or technical standards.
- Knowledge of responsible AI, security controls, guardrails and model risk management.
- Experience working in Higher Education, the public sector or another large and complex organisation.
- Experience helping a new AI capability move from proof of concept into repeatable delivery.
About Us
FDM is an award‑winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience.
We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees.
FDM has shown exponential growth throughout the years, firmly establishing itself as an award‑winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’.
Diversity and Inclusion
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
- Why join us
- Career coaching, mentoring and access to upskilling throughout your entire FDM career
- Assignments with global companies and opportunities to work abroad
- Opportunity to re‑skill and up‑skill into new areas, develop non‑linear career paths and build a skillset within your field
- Annual leave and work‑place pension
- #J-18808-Ljbffr
Senior AI Engineer- London employer: FDM
FDM is an exceptional employer that offers a dynamic work culture and a commitment to employee growth, making it an ideal place for a Data & AI Engineer. With access to career coaching, mentoring, and opportunities to work with global companies, employees can develop their skills in a supportive environment while enjoying the benefits of a hybrid role in London. The company's recognition as a top employer underscores its dedication to diversity and inclusion, ensuring a rewarding and meaningful career path for all team members.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer- London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at FDM or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to FDM.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like FDM.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like FDM that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer- London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at FDM.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at FDM and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at FDM
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If FDM uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.