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- Tasks: Lead the delivery of advanced AI solutions and mentor junior engineers.
- Company: Dynamic tech company shaping the future of AI and Data solutions.
- Benefits: Competitive salary, flexible benefits, remote work, and generous annual leave.
- Why this job: Make a real impact in AI while developing your leadership skills.
- Qualifications: Expertise in AI, strong programming skills, and team leadership experience.
- Other info: Flexible working arrangements to promote work/life balance.
The predicted salary is between 54000 - 126000 £ per year.
Are you passionate about Artificial Intelligence and excited by the opportunity to shape the future of Data and AI solutions? We’re looking for a Lead AI Engineer to join our growing team, where you’ll balance hands‑on engineering with technical leadership. You’ll play a pivotal role in designing and delivering advanced AI solutions while also mentoring and developing junior team members, helping to create a collaborative and high‑performing environment. We can offer great career progression opportunities, ability to be based anywhere across the UK, benefits which you can flex to meet your needs, and training and development opportunities. You’ll work alongside multidisciplinary teams, applying innovative AI technologies to solve complex business challenges and deliver real impact.
What you'll be doing:
- Leading the delivery of advanced AI and agent-based solutions.
- Coaching and mentoring junior engineers, fostering growth and best practice.
- Communicating complex AI concepts to both technical and non-technical stakeholders.
- Managing project delivery, ensuring outcomes are on time, within budget and to quality standards.
- Applying MLOps practices to address risk and technical debt.
- Staying up to date with advancements in AI, agent architectures, and emerging best practices.
What you’ll bring:
- Expertise in AI and Machine Learning, including agent-based AI, RAG (Retrieval Augmented Generation), multi-agent systems and conversational agents.
- Strong programming skills in Python, Java or .NET.
- Experience with GenAI and LLMs (ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search.
- Familiarity with AI agent frameworks (Autogen AI) and digital assistant solutions such as Microsoft Copilot.
- Knowledge of cloud-native engineering techniques for scalable AI deployment.
- Proven experience leading and developing a team.
If you are interested in this role but not sure if your skills and experience are exactly what we’re looking for, please do apply, we’d love to hear from you!
Employment Type: Full-time, Permanent
Location: UK Wide
Security Clearance Level: SC Eligible
Salary: up to £90,000
Benefits: £5,400 car allowance, 25 days annual leave with the option to buy additional days, private medical, life assurance, pension, and generous flexible benefits fund.
Although this role is advertised as full-time, we believe that flexibility at work can promote work/life balance, increase your motivation, reduce stress and improves performance and productivity. We support different ways of working and can offer a range of flexible working arrangements.
Lead AI Engineer employer: Shared Services Connected Ltd
Contact Detail:
Shared Services Connected Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they're personal, academic, or professional. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies alike.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you’re unsure about meeting all the criteria, we encourage you to throw your hat in the ring. We value passion and potential just as much as experience!
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for Artificial Intelligence shine through! We want to see how excited you are about shaping the future of AI solutions and how your experience aligns with our mission.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant skills and experiences. We’re looking for expertise in AI and Machine Learning, so don’t hold back on showcasing your programming skills and any projects you've led!
Communicate Clearly: Remember, you’ll be communicating complex AI concepts to various stakeholders. Use clear and concise language in your application to demonstrate your ability to explain technical details simply and effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Shared Services Connected Ltd
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and machine learning, especially around agent-based solutions and conversational agents. Be ready to discuss your experience with GenAI and LLMs, as well as any projects you've led that showcase your expertise.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, think of examples where you've successfully coached or developed team members. Prepare to share how you foster a collaborative environment and promote best practices within your team.
✨Communicate Clearly
You'll need to explain complex AI concepts to both technical and non-technical stakeholders. Practice simplifying your explanations and consider using analogies or real-world examples to make your points clearer during the interview.
✨Demonstrate Project Management Prowess
Be prepared to discuss how you've managed project delivery in the past. Highlight your ability to keep projects on time, within budget, and to quality standards, and be ready to talk about how you handle risks and technical debt using MLOps practices.
