At a Glance
- Tasks: Dive into AI and machine learning, enhancing products with your skills.
- Company: Join an exciting AI company in the heart of Edinburgh.
- Benefits: Earn £30,000, enjoy remote work options, and grow your career.
- Other info: Start between June and August, with great opportunities for growth.
- Why this job: Be part of innovative projects that shape the future of technology.
- Qualifications: Passion for AI, knowledge of Python, and a knack for data analysis.
The predicted salary is between 21600 - 36000 £ per year.
8 hours ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.This range is provided by Nichols Digital Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range Edinburgh based role, with one day a week remote/ home working and the rest in the office.*****Paying up to £30,000 basic*****IMPORTANT PLEASE READ - Aiming for candidates to have a START DATE between July & AugustGraduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm , Mathematics, Data Analysis, Python, Git, SQL, BI Tools.An exciting AI company in Edinburgh are looking for several passionate & enthusiastic Graduate Machine Learning Engineer's to start between the end of June and end of August.Responsibilities:Possess foundational knowledge across a diverse range of machine learning techniques suitable for various data shapes and types.Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement.Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets.Assist in the preparation and execution of Proof of Concept (PoC) projects by analysing data outputs and assessing model performance.Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences.Contribute to automation of data analysis workflows to streamline reporting and validation processesGraduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, BI Tools.Seniority level Seniority level Not ApplicableEmployment type Employment type Full-timeJob function Job function Information TechnologyIndustries Technology, Information and Internet and Software DevelopmentReferrals increase your chances of interviewing at Nichols Digital Ltd by 2xSign in to set job alerts for "Machine Learning Engineer" roles. Edinburgh, Scotland, United Kingdom 1 year agoEdinburgh, Scotland, United Kingdom 1 year agoEdinburgh, Scotland, United Kingdom 1 week agoWork from home as an Online Primary School tutor - Part Time Edinburgh, Scotland, United Kingdom 1 year agoWork from home as an Online Tutor - Part Time Edinburgh, Scotland, United Kingdom 1 year agoDon't see a role that you're suitable for? Register your interest in working with us here! Edinburgh, Scotland, United Kingdom 2 weeks agoEdinburgh, Scotland, United Kingdom 1 day agoEdinburgh, Scotland, United Kingdom 10 months agoWork from home as an Online English Tutor - Part Time Edinburgh, Scotland, United Kingdom 1 year agoEdinburgh, Scotland, United Kingdom 1 day agoEdinburgh, Scotland, United Kingdom 3 days agoLooking for the Next Step in Your Engineering Career? Join Had Fab Tranent, Scotland, United Kingdom 1 month agoWork from home as an Online English Tutor - Part Time Work from home as an Online English Tutor - Part Time Edinburgh, Scotland, United Kingdom 4 weeks agoOnline Social Sciences Tutor - No Experience Required Edinburgh, Scotland, United Kingdom 1 year agoOnline Life Coach for students- Part Time Edinburgh, Scotland, United Kingdom 1 year agoPrimary School Tutor Wanted - Remote, No Experience Required Edinburgh, Scotland, United Kingdom 1 year agoOnline Life Coach for Students - Part Time Edinburgh, Scotland, United Kingdom 1 year agoMaths Tutor - Part time, Work From Anywhere Edinburgh, Scotland, United Kingdom 1 day agoEdinburgh, Scotland, United Kingdom 6 days agoEdinburgh, Scotland, United Kingdom 2 weeks agoFront End Developer (Remote Fixed Term Contract) Edinburgh, Scotland, United Kingdom 3 weeks agoWork from home as an Online Tutor of English as a Foreign Language - Part Time Edinburgh, Scotland, United Kingdom 1 year agoOnline Life Coach for students- Part Time Edinburgh, Scotland, United Kingdom 1 year agoSpecialist/Trainee Biomedical Scientist (LW) Kirkcaldy, Scotland, United Kingdom 1 day agoEdinburgh, Scotland, United Kingdom 2 weeks agoEdinburgh, Scotland, United Kingdom 3 days agoEdinburgh, Scotland, United Kingdom 1 day agoOnline English as a Foreign Language - Part Time Edinburgh, Scotland, United Kingdom 1 year agoOnline Science & Maths Tutor - Part Time Edinburgh, Scotland, United Kingdom 1 year agoWe're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Graduate Machine Learning Engineer - £30,000 (Edinburgh) employer: Nichols Digital Ltd
Nichols Digital Ltd is an exceptional employer for aspiring Graduate Machine Learning Engineers, offering a vibrant work culture in the heart of Edinburgh. With a competitive salary of up to £30,000 and the flexibility of one day a week remote working, employees benefit from a supportive environment that fosters growth through hands-on experience with cutting-edge AI technologies. The company prioritises employee development, providing opportunities to engage in innovative projects while collaborating with passionate professionals in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Machine Learning Engineer - £30,000 (Edinburgh)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on that perfect Graduate Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or any AI/ML techniques. This will give you an edge when chatting with recruiters or during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by solving coding challenges and brushing up on your data analysis skills. Websites like LeetCode or HackerRank can be super helpful for this.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that interview.
We think you need these skills to ace Graduate Machine Learning Engineer - £30,000 (Edinburgh)
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see that you’re genuinely excited about the role and the impact you can make!
Tailor Your CV:Make sure your CV highlights relevant skills like Python, SQL, and data analysis. We love seeing how your experiences align with what we’re looking for, so don’t hold back on showcasing your best bits!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit. Share specific examples of your projects or experiences that relate to the job description, and keep it engaging!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it’s super straightforward!
How to prepare for a job interview at Nichols Digital Ltd
✨Know Your Machine Learning Basics
Brush up on your foundational knowledge of machine learning techniques. Be ready to discuss various algorithms and their applications, as well as how they relate to the role you're applying for. This will show your enthusiasm and understanding of the field.
✨Showcase Your Data Analysis Skills
Prepare to talk about your experience with data analysis, especially using Python, SQL, and BI tools. Have examples ready that demonstrate how you've identified trends or anomalies in datasets, as this is a key responsibility of the role.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You might need to present findings from AI/ML models to both technical and non-technical audiences, so being able to communicate effectively is crucial. Consider preparing a mini-presentation based on a past project.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in relation to Proof of Concept (PoC) projects. Think of scenarios where you had to analyse data outputs and assess model performance, and be prepared to walk through your thought process.
