Distinguished AI Engineer

AVEVA is creating software trusted by over 90% of leading industrial companies.

Position: Distinguished AI Engineer

Location: United Kingdom, Ireland, Spain, Germany, France, Sweden, Italy, Norway

Employment Type: Full-time

The job

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 proof‑s‑of‑concepts, 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.

Essential Requirements

• 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.

Desired Skills And Competencies

• 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.

What Success Looks Like

• 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. It is possible we are hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

Hybrid working

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.

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.