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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Autonomy and Machine Learning techniques, with a strong foundation in Engineering or Computer Science. Capable of transforming academic concepts into practical applications while effectively managing team dynamics and project deliverables.
Highest-signal resume keywords
Autonomy And Machine Learning TechniquesPython ProgrammingAgile MethodologiesEngineering Decision-MakingTeam Mentoring And Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentObject-Oriented ProgrammingVersion Control (Git, Bitbucket)Systems ThinkingResearch And DevelopmentRisk ManagementTechnical ReportingWork Package PlanningModelling Environment TransformationProject Management
Soft Skills
Strong Written CommunicationStrong Oral CommunicationTeam CollaborationPresentation SkillsCoaching And Mentoring
Certifications & Qualifications
Degree In STEM Related SubjectPre-Employment Screening (BPSS)Eligibility For Security Check (SC)Eligibility For Developed Vetting (DV)
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Undertake research and development activities and studies related to sensor management, autonomy and decision-making
- Build improvements and new capabilities into the mainline autonomy development project
- Research promising areas in the literature to support ongoing development
- Create work package plans, advise on optimum team size/capability mix, and report on work programmes and risk
- Aid planning and management of technical activities for a small team
- Ensure delegated work is delivered on time and within scope
- Mentor, coach, and develop junior team members
- Provide domain experience for customer and user engagement, product roadmaps, proposals, and statements of work
- Contribute to project and team decision-making
- Deliver artefacts summarising research outcomes
- Present key findings internally and engage with wider internal and external stakeholders on project progress
- Work with the Team Lead and Technical Specialists to deliver next-generation product capabilities within timescales and budget
Requirements
What you’ll need- Ideally degree qualified, with relevant equivalent experience in a STEM related subject
- Strong engineering or Computer Science background
- Ability to understand concepts from academic literature and transform them into a modelling environment
- Experience applying Autonomy and Machine Learning techniques to real-world applications
- Knowledge of wider systems thinking
- Experience of coding or software development, specifically Python
- Working knowledge of Object-Oriented Programming
- Experience using version control tools such as Git and Bitbucket is advantageous
- Strong written and oral communication skills
- Ability to present technical concepts clearly and concisely to varied audiences
- Engineering decision-making and understanding of risk/reward trade-offs
- Experience working and delivering designs using Agile methodologies such as Scrum and Kanban
- Willingness to learn and work as part of a wider team
- Subject to pre-employment screening under the UK Government's BPSS
- May need to meet eligibility requirements for Security Check (SC) or Developed Vetting (DV)
Benefits
Comp & perks- Generous leave with the opportunity to accrue up to 12 additional flexi-days each year
- Award-winning pension scheme with up to 15% employer contribution
- Free access to mental health support
- Free financial advice
- Employee-led inclusion and diversity networks
- Bonus scheme for employees at management level and below
- Free access to 4,000+ online courses via Coursera and LinkedIn Learning
- Financial reward through the referral programme
- Up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech and lifestyle discounts, gym memberships and more
- Flexible hours with hybrid working options