At a Glance
- Tasks: Lead AI innovation by prototyping and validating cutting-edge technologies.
- Company: Join AVEVA, a global leader in industrial software with a commitment to sustainability.
- Benefits: Enjoy flexible benefits, 28 days annual leave, and education assistance.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real-world impact by turning AI concepts into working solutions.
- Qualifications: 12+ years in AI/ML engineering with strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
AVEVA is creating 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 is a hands-on engineering lead role, focused on investigating, prototyping, and validating emerging AI technologies to drive innovation and real-world solutions.
The ideal candidate will have a passion for both exploring new frontiers in AI and turning emerging concepts into working systems with expertise making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes. A strong technical foundation with experience working at the intersection of AI exploration and hands-on incubation is critical for this role.
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.
- Make and 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 can transition to later stage development and/or 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 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, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques.
- Exceptional communication and presentation skills; can 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, where appropriate.
- Ability to meaningfully influence AI roadmaps and technology direction through evidence-backed work.
UK Benefits include: 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.
By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Distinguished AI Engineer in London employer: AVEVA
Contact Detail:
AVEVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Distinguished AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current AVEVA employees on LinkedIn. A personal introduction can make all the difference when you're applying for that Distinguished AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio of your AI projects, prototypes, or any relevant work you've done. This is your chance to demonstrate your hands-on experience and technical prowess, which is crucial for this role.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex AI concepts clearly to both technical and non-technical folks. Practice articulating your thoughts so you can impress during those crucial conversations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the AVEVA team and contributing to innovative AI solutions.
We think you need these skills to ace Distinguished AI Engineer in London
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to customise your cover letter for the Distinguished AI Engineer role. Highlight your passion for AI and how your experience aligns with the responsibilities mentioned in the job description. We want to see your personality shine through!
Showcase Your Technical Skills: When detailing your CV, focus on your technical expertise, especially in Python and deep learning frameworks. Mention specific projects where you've led AI/ML initiatives, as this will resonate with us at AVEVA.
Be Clear and Concise: Keep your application materials clear and to the point. Use bullet points for easy reading and ensure you articulate your achievements effectively. We appreciate straightforward communication, especially when it comes to complex topics!
Apply Through Our Website: Don’t forget to submit your application through our official portal! This helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
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, like Python, TensorFlow, and PyTorch. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Prototyping Skills
Prepare to talk about specific projects where you've designed and built prototypes or proof-of-concepts. Highlight the challenges you faced, the architectural decisions you made, and how those prototypes led to successful outcomes.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex AI concepts in simple terms. Think of examples that illustrate your points and make sure you can articulate your findings and recommendations effectively.
✨Collaborate and Mentor
Be ready to discuss your experience working in cross-functional teams and how you've mentored junior members. Share examples of how collaboration has led to successful project outcomes and how you foster a supportive team environment.