Senior AI Research Engineer

Senior AI Research Engineer

Location:

Cambridge, London, UK (Hybrid)

Employment Type:

Full-time, permanent

We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands‑on engineering role, focused on building, prototyping, validating, and ope rationalising emerging AI technologies for real‑world industrial intelligence use cases.

This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade‑offs, and proving feasibility through code, experiments, and deployable prototypes.

The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production.

• Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability
• Design, build, and iterate on working prototypes and proof‑of‑concepts, rather than theoretical experiments
• Develop, fine‑tune, evaluate, and benchmark AI/ML models using real‑world datasets
• Assess AI approaches for scalability, reliability, cost, security, and operational feasibility
• Make and document engineering and architectural decisions related to model deployment and integration
• Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products
• Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders
• Support early‑stage pilots and proof‑of‑value initiatives where AI solutions are exercised in realistic environments

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
• 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure
• 3+ years of hands‑on experience building, training, evaluating, and deploying ML models
• Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, Tensor Flow, Hugging Face)
• Solid understanding of AI/ML deployment patterns, including batch and real‑time inference, model APIs and pipelines, integration into distributed systems
• Practical experience with modern AI paradigms, such as foundation models / LLMs, agent‑based systems and orchestration, context retrieval and augmentation techniques
• Demonstrated ability to lead technical investigations and drive them to concrete outcomes
• Ability to connect AI capabilities to practical industrial or enterprise use cases

• 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
• Exposure to industrial, IoT, manufacturing, energy, or asset‑intensive domains

• AI ideas progress beyond research into validated, working prototypes
• Technical investigations result in clear go / no‑go recommendations
• Prototypes demonstrate feasibility for real‑world deployment, not just benchmark performance
• Strong collaboration with engineering teams to enable transition into pilots or platforms
• Tangible influence on AI roadmap and technology direction through evidence‑backed engineering work

Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, covering everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.

Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.

Find out more:

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.

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