At a Glance
- Tasks: Lead AI investigations, prototype cutting-edge technologies, and mentor junior engineers.
- Company: Join AVEVA, a leader in industrial software trusted by top companies.
- Benefits: Enjoy flexible benefits, 28 days annual leave, and comprehensive health coverage.
- Other info: Hybrid working model with opportunities for career growth and development.
- Why this job: Make a real impact by driving innovation in AI for industry.
- Qualifications: 12+ years in AI/ML engineering with strong leadership and technical skills.
The predicted salary is between 80000 - 100000 ÂŁ per year.
AVEVA creates software trusted by over 90% of leading industrial companies.
We are seeking an experienced AI technologist to join our AI Investigation and Incubation team. This hands‑on engineering lead role focuses on investigating, prototyping, and validating emerging AI technologies to drive innovation and real‑world solutions.
Key Responsibilities- Evaluate emerging AI technologies with a clear focus on practical applicability and deployability.
- Investigate, develop, fine‑tune, evaluate, and benchmark AI/ML models.
- Design, build, and iterate on working prototypes, proof‑of‑concepts, and pilots.
- Assess AI approaches for scalability, reliability, cost, security, and operational feasibility.
- Document AI investigation and architectural decisions related to model deployment and integration.
- Collaborate closely with cross‑functional teams to ensure AI proofs‑of‑concept, prototypes, and pilots transfer to later stage development and downstream products.
- Clearly document findings and present actionable recommendations to technical and non‑technical stakeholders.
- Mentor and coach junior team members.
- 12+ years of experience in AI/ML engineering or equivalent industry experience with at least 4 years in a technical lead position.
- Bachelor's degree in Computer Science, AI/ML, Engineering or a related technical field; advanced degree preferred.
- Proven track record of leading and delivering large‑scale AI/ML incubations or complex deep‑tech cross‑functional initiatives with measurable outcomes.
- Expertise in Python and deep experience with deep learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state‑of‑the‑art ML techniques (building, training, evaluating, deploying ML models).
- Practical experience with modern AI paradigms such as world models, foundation models, multi‑modal language models, agent‑based systems and orchestration, and context retrieval and augmentation techniques.
- Exceptional communication and presentation skills; able to articulate complex technical concepts to both technical and non‑technical audiences, including senior leadership.
- Experience in industrial, IoT, manufacturing, energy, or asset‑intensive domains.
- Ability to connect AI capabilities to practical industrial or enterprise use cases.
- Exposure to AI governance, security, or compliance considerations.
- Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable).
- Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration).
- Experience working with non‑ideal, real‑world data rather than curated research datasets.
- Experience working in both enterprise and start‑up environments.
- Interest in supporting technical and scientific publications on AI research.
- AI concepts progress beyond research into validated, working prototypes and pilots.
- Technical investigations result in clear go/no‑go recommendations.
- Prototypes and pilots demonstrate feasibility for real‑world deployment, not just benchmark performance.
- Strong collaboration with cross‑functional technical and non‑technical teams to enable transition into later stage development.
- Ability to meaningfully influence AI roadmaps and technology direction through evidence‑backed work.
- Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. Benefits may vary by country but are similarly comprehensive.
Employees are expected to be in their local AVEVA office three days a week, unless fully office‑based assignments or remote support for specific customers or markets.
AVEVA is an Equal Opportunity Employer. We are committed to an inclusive culture, reasonable accommodation to applicants with disabilities, and a workplace where all employees are treated with dignity and respect.
Locations
Distinguished AI Engineer in Derry, Londonderry employer: AVEVA
Contact Detail:
AVEVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Distinguished AI Engineer in Derry, Londonderry
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, and any cool stuff you've built. 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 your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Distinguished AI Engineer in Derry, Londonderry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Distinguished AI Engineer. Highlight your hands-on experience with AI/ML technologies and any leadership roles you've held, as we want to see how you can drive innovation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Communication Skills: Since you'll be presenting complex ideas to both technical and non-technical audiences, make sure your application showcases your ability to communicate clearly. Use straightforward language and avoid jargon where possible to demonstrate this skill.
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 the role. Plus, it shows you’re keen on joining our team at AVEVA!
How to prepare for a job interview at AVEVA
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks mentioned in the job description. Be ready to discuss your hands-on experience with Python, TensorFlow, or PyTorch, and how you've applied these in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role requires a technical lead, prepare examples of how you've successfully led AI/ML projects. Highlight your ability to mentor junior team members and collaborate with cross-functional teams to drive innovation.
✨Prepare for Practical Applications
Think about how you can connect AI capabilities to practical industrial use cases. Be ready to discuss specific examples where your work has led to measurable outcomes, especially in sectors like IoT or manufacturing.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You’ll need to present findings to both technical and non-technical stakeholders, so being able to articulate your ideas clearly is crucial for success.