At a Glance
- Tasks: Lead AI initiatives, mentor engineers, and ensure high-quality project delivery.
- Company: Clario, part of Thermo Fisher Scientific, focused on transforming lives through technology.
- Benefits: Competitive pay, attractive benefits, flexible time off, and remote work options.
- Other info: Join a dynamic team dedicated to advancing clinical science and improving patient outcomes.
- Why this job: Make a real impact in healthcare by delivering innovative AI solutions.
- Qualifications: 7+ years in software/AI engineering and 2+ years in team leadership.
The predicted salary is between 70000 - 90000 £ per year.
Clario, part of Thermo Fischer Scientific, is looking for an AI Engineering Team Lead who will be overseeing the successful delivery of strategic AI initiatives across our portfolio. This role combines technical leadership, project delivery oversight, stakeholder management, and people leadership. The AI Engineering Lead will guide AI Engineers and Software Engineers, translate business priorities into executable plans, and ensure high-quality AI solutions are delivered with strong outcomes for the business and our customers.
What We Offer
- Competitive Compensation and Incentives
- Attractive Benefits (Pension, Private Health Coverage, Life Assurance & Salary Sacrifice Schemes)
- Flexible Time Off Policy
- Engaging Employee Programs
- Technology for Remote/Hybrid Working
What You'll Be Doing
- Lead the planning, execution, and delivery of multiple AI initiatives, ensuring projects meet scope, timelines, quality expectations, and business objectives.
- Mentor and support AI Engineers by setting clear direction, providing coaching, and building a high-performing project team.
- Partner with stakeholders across product, science, clinical, operations, and engineering to define requirements, priorities, milestones, risks, and success metrics.
- Translate stakeholder needs into technical roadmaps, delivery plans, and resourcing strategies for AI-powered products and platforms.
- Guide solution design, software development, model integration, testing, deployment, and operational support across the AI project portfolio.
- Drive strong AI research and engineering practices across the team.
- Coordinate dependencies, remove blockers, and communicate project status, risks, and tradeoffs clearly to leadership and stakeholders.
- Balance innovation and experimentation with execution discipline, scalability, reliability, and compliance considerations.
- Contribute to hiring, onboarding, team planning, and continuous improvement of delivery processes and engineering standards.
What We're Looking For
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 7+ years of experience in software engineering, AI engineering, machine learning, or related technical roles.
- 2+ years of experience leading teams, technical programs, or cross-functional delivery efforts.
- Demonstrated success delivering AI/ML or data-driven software solutions from concept through production.
- Strong proficiency in Python and familiarity with modern AI/ML tooling, backend services, APIs, and data pipelines.
- Experience with cloud-based architectures and production deployment of software or AI solutions.
- Proven ability to work effectively with technical and non-technical stakeholders and drive alignment across competing priorities.
- Strong people leadership, communication, planning, and problem-solving skills.
- Commitment to high-quality, secure, scalable, and maintainable solutions.
- Experience in healthcare, life sciences, biotech, or other regulated environments is a plus.
- Familiarity with generative AI, LLM-enabled workflows, retrieval systems, or AI-assisted product capabilities is a plus.
At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.
AI Engineering Team Lead employer: Clario
Clario, part of Thermo Fischer Scientific, is an exceptional employer that prioritises employee well-being and professional growth. With competitive compensation, attractive benefits including private health coverage and a flexible time off policy, we foster a collaborative work culture that encourages innovation and supports remote/hybrid working. Join us to lead impactful AI initiatives in a dynamic environment where your contributions directly enhance patient outcomes and advance clinical science.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Team Lead
✨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 Clario 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 Clario.
✨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 Clario.
✨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 Clario 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 AI Engineering Team Lead
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 Clario.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Clario 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 Clario
✨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 Clario 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.
