At a Glance
- Tasks: Lead the development and deployment of innovative AI solutions in a collaborative environment.
- Company: Join LGC, a global leader in life science tools with a mission for safer world.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in AI while mentoring a talented team and shaping future technologies.
- Qualifications: Experience in AI/ML development, strong leadership skills, and proficiency in Python.
- Other info: Inclusive culture that values diversity and encourages curiosity and integrity.
The predicted salary is between 43200 - 72000 £ per year.
LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomics and for quality assurance applications. LGC's tools play a key role in customer workflows from discovery applications through to commercial manufacture and enable its customers to: bring new diagnostics and therapies to market; progress research and development; optimise food production; and continuously monitor and enhance the quality of food, the environment and consumer products.
This role can ideally be based out of any of our UK sites working on a hybrid basis. The AI Engineering Lead is a senior technical leadership position collaborating with the Head of Data & AI. This role combines deep technical expertise in artificial intelligence with strong delivery and people management capabilities. The successful candidate will be responsible for leading the hands-on development and deployment of AI solutions while establishing a team of AI engineers and coordinating with third-party delivery partners.
The role requires a strong technical practitioner who can architect, develop and deliver both Machine Learning and Generative AI solutions. They will be expected to lead by example, maintaining hands-on involvement in solution development while guiding and mentoring their team. The ideal candidate will have a proven track record of successfully delivering AI projects from feasibility through to production deployment.
Working closely with the Head of Data & AI, business team members and IT colleagues, the AI Engineering Lead will ensure that AI initiatives are delivered on time, to specification, and in alignment with LGC's strategic objectives, AI governance framework and Technical standards.
Key Responsibilities- Technical Ownership
- Lead the end-to-end development and deployment of AI solutions, including Machine Learning models, Generative AI applications and Agentic solutions.
- Architect robust, scalable AI systems that integrate effectively with existing enterprise infrastructure.
- Maintain hands-on involvement in coding, model development, and technical problem-solving.
- Establish and enforce technical standards, procedures, and coding guidelines for AI development.
- Conduct code reviews and ensure high-quality work across all AI projects.
- Know the latest with emerging AI technologies and evaluate their potential application within LGC.
- Develop AI delivery capabilities through a mix of internal resources and 3rd party providers.
- Drive the successful delivery of AI projects on time, within budget, and to specification.
- Develop and maintain project plans, tracking progress and managing risks and dependencies.
- Implement agile delivery methodologies appropriate for AI/ML development lifecycles.
- Manage the transition of AI solutions from development through to production and operational support.
- Ensure all AI solutions align with LGC's AI governance framework, data privacy regulations, and ethical guidelines.
- Implement appropriate testing, validation, and documentation practices for AI models.
- Be a key member and provide strategic input into the LGC AI Tech Council to shape ongoing AI strategies and technical landscape.
- Bachelor's degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field; Master's degree or equivalent experience preferred.
- Extensive hands-on experience developing and deploying AI/ML solutions in production environments.
- Demonstrated experience with Generative AI technologies, including Large Language Models (LLMs), prompt engineering, RAG architectures, and AI agents.
- Experience leading technical teams or managing third-party delivery partners.
- Ideally strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
- Experience with cloud-based AI platforms and services (AWS SageMaker, Azure ML, Snowflake intelligence or equivalent).
- Excellent problem-solving skills and ability to translate business requirements into technical solutions.
- Strong communication skills with the ability to explain complex technical concepts to non-technical collaborators.
LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership.
AI Engineering Lead in London employer: LGC
Contact Detail:
LGC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with LGC employees on LinkedIn. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Machine Learning and Generative AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your past projects and how they align with LGC's mission of Science for a Safer World. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the LGC team.
We think you need these skills to ace AI Engineering Lead in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineering Lead role. Highlight your experience with AI solutions, especially in Machine Learning and Generative AI, to show us you’re the perfect fit!
Showcase Your Technical Skills: Don’t hold back on your technical expertise! We want to see your hands-on experience with Python, ML frameworks, and cloud-based platforms. Include specific projects or achievements that demonstrate your capabilities.
Communicate Clearly: Remember, we value strong communication skills. When writing your application, explain complex concepts in a way that’s easy to understand. This will show us you can bridge the gap between technical and non-technical teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at LGC!
How to prepare for a job interview at LGC
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around Machine Learning and Generative AI. Be ready to discuss your hands-on experience with these technologies, as well as any projects you've led or contributed to. This will show that you're not just a theorist but someone who can get their hands dirty.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed teams or projects in the past. Highlight your ability to mentor others and drive projects to completion, as LGC values strong delivery management capabilities.
✨Align with LGC's Values
Familiarise yourself with LGC's core values: passion, curiosity, integrity, brilliance, and respect. Think of ways you can demonstrate these values during your interview, whether through your past experiences or your approach to problem-solving.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and coding abilities. Brush up on Python and ML frameworks like TensorFlow or PyTorch, and be ready to discuss how you've applied these in real-world scenarios. Practising coding challenges can also help you feel more confident.