Average Research Manager salary in Edinburgh

Would you like to be rewarded for sharing your opinion?Research Tribe is a completely free service that connects people like you with remote opportunities to take part in market research. You could become a mystery shopper, product tester or simply share your opinion through paid surveys, focus groups and more.We work with many leading market research companies and brands. They want to hear your thoughts and will reward you with a variety of incentives including cash, vouchers, products, gifts, experiences and prizes.Mystery ShoppingProduct TestingFocus GroupsSurveys & MoreThere is never any obligation to take part as you choose the opportunities you're interested in and complete them at times convenient for you, so it's perfect for everyone (especially if you're looking for flexible entry level, part time, temporary, evening, weekend or seasonal work with an immediate start and no experience).It's not a suitable replacement for a job, however it's a great way to work from home and earn additional income.Getting started is easy, simply click 'Apply Now’ and register on our website so we can keep you updated with suitable opportunities by email - it takes under 60 seconds.---Research Tribe members come from a variety of work backgrounds including admin, customer service, accounts, finance, retail, IT, recruitment, human resources (HR), social care, cleaning, driving, NHS and local council. Whether you’re a student, apprentice, graduate, trainee, administrator, accountant, payroll assistant, sales executive, personal assistant (PA), business analyst, account manager, business analyst, receptionist, school teacher, chef, waiter, office worker or night shift warehouse operative - you’ll be in great company!

Part-Time | Remote Work Opportunity | Flexible ScheduleAbout This OpportunityWe are seeking dedicated individuals to participate in legitimate market research studies as remote research panelists. This role involves completing paid surveys, participating in focus groups, earning by playing games, and taking various online offers from the comfort of your home.Position OverviewAs a Research Panelist, you will provide valuable insights through various research methodologies including online surveys, phone interviews, virtual focus groups, and offer-based activities. You will also have access to tasks such as playing games and completing promotional offers that provide additional earning opportunities. This is an excellent supplemental income opportunity that allows you to work on your own schedule while contributing to important market research initiatives.Key ActivitiesComplete online surveys and questionnaires (5–30 minutes each).Participate in phone interviews and virtual focus groups.Earn by playing online and mobile games when availableplete paid offers such as sign-ups, trials, and other simple online tasksvide feedback on products, services, and market trends.Maintain accurate records of participation.Follow research protocols and guidelines.RequirementsEssential QualificationsComputer or mobile device with reliable internet connection.Quiet workspace free from distractions.Ability to work independently with minimal supervision.Strong reading comprehension and communication skills.Smartphone with camera or webcam for verification purposespensation & BenefitsEarning PotentialEarning potential: 50 GBP to 300 GBP per month for regular participants.Survey completion: $0.25 – $5.00 per survey.Focus groups: $50 – $300 per session.Additional earnings available through games, offers, and other micro-tasks.BenefitsFlexible scheduling – work when convenient for you.No commute required – 100% remote work.Skill development in market research and data analysis.Supplemental income opportunity.No educational requirements or previous experience necessary.Work EnvironmentThis is a fully remote, part-time position with flexible hours. Participants typically dedicate 1–3 hours daily to maximize earning potential. Work can be completed evenings, weekends, or during personal downtime.Application ProcessQualified candidates will undergo a brief verification process to ensure eligibility for research studies and reward programs. All personal information is kept strictly confidential in accordance with privacy regulations.Important Note: This position is designed as supplemental income and should not be considered full-time employment. Earnings depend on study availability, eligibility, and individual participation levels.

We are seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required Qualifications and Skills: · Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. · Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. · Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization. · Proficiency in C/C++, with additional experience in Python for research prototyping. · Solid grounding in systems research methodology, distributed algorithms, and profiling tools. · Team-oriented mindset with effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. · Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). · Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale AI inference clusters. · Prior experience designing, deploying, and profiling high-performance cloud or AI infrastructure systems.