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- Tasks: Shape AI solutions and experiment with innovative ideas in a collaborative team.
- Company: Join a forward-thinking AI Engineering team focused on impactful projects.
- Benefits: Enjoy competitive salary, 25 days leave, health plan, and pension.
- Other info: Flexible remote work and commitment to diversity and inclusion.
- Why this job: Make a real difference by developing cutting-edge AI technologies.
- Qualifications: Strong AI knowledge and programming experience, especially in Python.
The predicted salary is between 66000 - 66000 ÂŁ per year.
Do you want to be part of a growing AI Engineering team where you can shape solutions, experiment with new ideas and help others grow along the way? As a Senior AI Engineer, you’ll play a key role within our Data and AI Practice, contributing to the design, development and delivery of AI‑powered solutions for a range of secure and high‑impact clients. You’ll work closely with other engineers, architects and stakeholders, getting involved from the early stages of projects through to delivery. This is a hands‑on engineering role, offering plenty of variety, from proof of concepts through to production‑ready solutions.
What you’ll be doing:
- Contributing to the development and delivery of AI solutions and AI agents, ensuring outcomes meet time, cost and quality expectations.
- Designing, building and improving autonomous and conversational agents using modern AI and agent‑based architectures.
- Applying robust engineering practices to reduce technical risk and manage technical debt in AI and agent‑based systems.
- Exploring and applying emerging AI technologies, frameworks and best practices to deliver innovative solutions.
- Supporting the deployment of scalable and reliable AI solutions using cloud‑native engineering approaches.
- Sharing knowledge, mentoring colleagues and contributing positively to the wider AI Engineering community.
What you’ll bring:
- A strong understanding of AI, machine learning and agent‑based AI concepts, including Retrieval Augmented Generation (RAG), multi‑agent systems and conversational agents.
- Experience developing AI solutions using programming languages such as Python, or similar languages used in AI engineering.
- Hands‑on experience with AI and agent frameworks such as Microsoft Copilot, Copilot Studio, Autogen Agents, Amazon Q, LangChain, LangGraph or similar platforms.
- The ability to analyse, evaluate and optimise agent behaviour and AI system performance.
- Experience delivering solutions using cloud platforms and cloud‑native delivery techniques.
- Experience measuring, validating and proving the effectiveness of AI systems in real‑world environments.
It would be great if you had:
- Exposure to low‑code or no‑code automation and orchestration tools used alongside AI solutions.
- Experience working in secure or regulated environments.
Employment Details:
- Employment Type: Full‑time, Permanent.
- Location: Anywhere in the UK.
- Security Clearance Level: SC Eligible.
- Internal Recruiter: Annecia.
- Salary: up to ÂŁ66,000.
- Benefits: 25 days annual leave with the choice to buy additional days, health cash plan, life assurance, and pension.
We welcome applications from people with a diverse variety of backgrounds and identities. We remain committed to equality of opportunity for all and do not discriminate on the basis of race, religion, colour, gender, age, disability, sexual orientation or marital status. If you require any adjustments to the recruitment process, to enable you to perform to the best of your ability, please let us know when completing your application. We participate in the Disability Confident scheme and are committed to offering an interview to any candidate with a disability who meets the minimum criteria for the role. If you believe this could apply to you, please let us know when completing your application.
Senior AI Engineer in London employer: Sopra Steria
Contact Detail:
Sopra Steria Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the AI space! Attend meetups, webinars, or even just chat with people on LinkedIn. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of your projects, especially those involving AI solutions. This gives potential employers a taste of your hands-on experience and creativity.
✨Ace the Interview
Prepare for technical interviews by brushing up on your AI knowledge and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
We love seeing applications come through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest roles we have available, so don’t miss out!
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and machine learning. Share specific projects or experiences that highlight your skills and how they align with our mission at StudySmarter.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight relevant experience with AI solutions, programming languages, and frameworks that we use, so we can see you’re a perfect fit!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and achievements. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Sopra Steria
✨Know Your AI Stuff
Make sure you brush up on your understanding of AI, machine learning, and agent-based concepts. Be ready to discuss specific technologies like Retrieval Augmented Generation and frameworks such as LangChain or Microsoft Copilot. Showing that you’re well-versed in these areas will definitely impress the interviewers.
✨Showcase Your Hands-On Experience
Prepare to share examples of your hands-on experience with AI solutions. Whether it’s a project where you built a conversational agent or optimised an AI system's performance, having concrete examples will help demonstrate your skills. Don’t forget to mention any cloud platforms you’ve worked with!
✨Be Ready to Discuss Problem-Solving
Expect questions about how you approach technical risks and manage technical debt in AI systems. Think of scenarios where you’ve had to troubleshoot or innovate under pressure. This will show your problem-solving abilities and your readiness for a hands-on role.
✨Emphasise Collaboration and Mentorship
Since this role involves working closely with other engineers and mentoring colleagues, be prepared to talk about your experiences in teamwork and knowledge sharing. Highlight any instances where you’ve contributed positively to a team or helped others grow in their roles.