At a Glance
- Tasks: Lead AI initiatives, develop cutting-edge computer vision models, and mentor a dynamic data science team.
- Company: Join a pioneering tech firm revolutionising AI solutions for global clients.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to shape the future of AI in a collaborative environment.
- Why this job: Be at the forefront of AI innovation and tackle real-world challenges with your expertise.
- Qualifications: 6+ years in data science, strong Python skills, and experience in leading technical teams.
The predicted salary is between 30000 - 36400 £ per year.
Ourclientisbuildingthemostadvanced AIplatformintheirmarket.
Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy.
Theyveinvestedheavilyintobuildingthe MLstack, partneredwithleadinguniversities, andtrainedmodelsonmillionsofexpert-taggedimages.
Now, theyrescalinggloballyandneedaworld-class Lead Data Scientisttohelppushtheboundariesofcomputervision, videoanalysis, andmultimodal LLMswhilesolvingreal-worldchallenges.
Role Overview Theyarelookingforanexperienced Lead Data Scientisttospearheadmachine-learninginitiatives, withparticularfocusoncomputervision, largelanguagemodels, andproductionready MLpipelinesin Azure.
Youwillactasthetechnicalleadfortheteam, settingdirection, guidingbestpractices, andensuringthesuccessfuldeliveryofhigh-impact AIsolutions.
Key Responsibilities Develop, train, anddeploycomputervisionmodels(objectdetection, imageclassification, segmentation, multi-modallearning) Fine-tune, evaluate, andproductionisemulti-modal LLMsforbusinessapplications.
Driveexperimentationandprototypingofadvanced ML/AItechniques Providetechnicaldirection, mentoring, andhands-onguidancetothedatascienceteam.
Workwithengineering, product, andbusinessstakeholderstoalign MLstrategywithbusinessgoals.
Architectandproductioniseend-to end MLpipelineson Azure, whileensuringscalability, reproducibility, andmonitoringofdeployedmodels.
Requirements 6+yearsindatascience/ML, withatleast2yearsinatechnicalleadrole.
Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction Proventrackrecordwith LLMfine-tuning, promptengineeringandproductionisation Deepexperiencein MLOpson Azure, including CI/CD, monitoringandscalingpipelines.
Strongcodingskillsin Python, withframeworkssuchas Py Torch, Fast APIand Azure CLI.
ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client.
Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
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Lead AI Engineer- Remote in Islington employer: Exposed Solutions
As a Telesales Executive, you will thrive in a dynamic and supportive work environment that values your contributions and fosters professional growth. Our company offers competitive salaries, comprehensive training, and opportunities for advancement, all while promoting a culture of teamwork and respect. Located in a vibrant area, we provide a unique chance to make a meaningful impact in the lives of our customers while enjoying a rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer- Remote in Islington
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Exposed Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead AI Engineer- Remote at Exposed Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Exposed Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI Engineer- Remote at Exposed Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead AI Engineer- Remote in Islington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Exposed Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Exposed Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Exposed Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Exposed Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
