Design and demonstrate machine learning approaches for anomaly detections, behaviour baselining, clustering and predictive use-cases
Support the engineering of operational systems utilising intelligence; translating analytical outputs into actionable recommendations and supporting operational decisions
Ensure proposed intelligence approaches are grounded in reality, not unnecessarily complex and meet solution requirements around latency, safety, explainability and accuracy
Collaborate with solution architects and engineers to align intelligence approaches with the overall system architecture
Develop demonstrators, prototypes and technical collateral materials and to showcase solution approaches and communicate complex AI concepts to multidisciplinary stakeholders such as engineers, industry domain experts, business leaders, academics and government representatives.

Requirements

Demonstrable experience explaining complex AI concepts at the right level to different stakeholders
Strong practical experience applying intelligence techniques to time series and sensor data ideally within operational, resource constrained environments (e.g. edge AI, TinyML)
Hands-on use of unsupervised or semi-supervised methods in live or near real-time contexts
Understanding of data pipelines, APIs and event-driven systems
Strong software engineering discipline, with hands-on experience in Python or R for applied machine learning, including deploying, monitoring and maintaining models in production environments
Experience with incorporating intelligence into digital twin environments would be highly desirable

Benefits

We are in the UK’s Top 100 Best Workplaces and placed in the UK’s Best Workplaces in Tech and Large Organisations.
Digital Catapult is a Disability Confident Committed Level 1 Employer.
Excellent holiday package: 25 days annual leave, Bank Holidays and 3 days between Christmas and New Year:
Double-matched pension up to 10% of your salary;
Discretionary company bonus
4% of your salary to use towards selecting benefits that work for you, including health cash plan, Private Medical Insurance; buying holiday, topping up your pension;
E-Vehicle Scheme; Cycle2Work; Tech Scheme; Gym Discounts; Give As you Earn; PerkPal;
Life insurance 4x salary;
Free to access EAP & Financial Wellbeing advice;
Enhanced maternity and paternity leave;
Hybrid working - with great offices to work from 2 days per week with some roles needing to be onsite more regularly to ensure the successful delivery of our work;
Investment in your ongoing learning and development with us;
Company social events throughout the year and free office snacks!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learninganomaly detectionbehaviour baseliningclusteringpredictive analyticsPythonRunsupervised methodssemi-supervised methodsdata pipelines

Soft Skills

communicationcollaborationexplanation of complex conceptsstakeholder engagementproblem-solvingadaptabilityanalytical thinkingdecision-makingtechnical writingpresentation skills