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For Companies At a Glance
- Tasks: Lead data analysis and build advanced machine learning models to solve real-world problems.
- Company: Join a forward-thinking tech consultancy in London with global opportunities.
- Benefits: Competitive salary, relocation sponsorship, and a chance to work with cutting-edge technologies.
- Why this job: Make an impact in AI and deep learning while mentoring the next generation of tech talent.
- Qualifications: 12+ years in data science, strong coding skills in Python and SQL, and a relevant master's or PhD.
- Other info: Dynamic environment with opportunities for international experience and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: London (Relocation required – Sponsorship will be provided)
Experience: 12 to 18 years
Job Requirements:
- 12 years of experience manipulating data sets and building statistical and machine learning models.
- Masters or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
- Fluent English (written/spoken).
- Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
- Experience Developing Machine Learning / Data Science models, from coding to deployment.
- 2+ years of experience in teaching or training.
- 3+ Years of Hands-on Hybrid Development experience preferred.
Skills:
- Able to train/mentor/coach in coding (mandatory python and SQL, java or C++).
- Project Management background preferred.
- Knowledge of the Consulting/Sales structure.
- Empathy and service attitude.
- Fast-paced.
- Desirable previous international experience (US, Canada, or Europe).
- Leading consultants to grow and create tangible benefits and assets.
- Orientation to results.
- Leadership.
Main responsibilities of the position:
- Collecting data through means such as analyzing business results or by setting up and managing new studies.
- Transferring data into a new format to make it more appropriate for analysis.
- Build tools to automate data collection.
- Compare and analyze provided statistical information to identify patterns, relationships, and problems.
- Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering.
- Prepare detailed reports for management and other departments by analyzing and interpreting data.
- Train assistants and other members of the team how to properly organize findings and read data collected.
- Design computer code using various languages to improve and update software and applications.
- Refer to previous instances and findings to determine the ideal method for gathering data.
Desired Skills (Including but Not Limited to):
- Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing), Generative AI and Computer Vision.
- Python and SQL coding skills are indispensable.
- Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform.
- Proficiency in Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bert, Elmo, SpaCy, NLTK, etc.
- Preferred: Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus.
- Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets.
- Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Ability to compile and organize statistical information retrieved and present findings to management.
- Faculty to work toward multiple deadlines simultaneously.
- Strong problem-solving skills with an emphasis on product development.
- Certification in a Cloud-Based/Machine Learning service desirable.
Seniority level: Not Applicable
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Software Development, Engineering Services, and Information Services
Deep Learning Specialist employer: Informationtechconsultants
Contact Detail:
Informationtechconsultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep Learning Specialist
✨Tip Number 1
Don't just sit back and wait for the job to come to you! Reach out directly to the job poster on LinkedIn or other platforms. A friendly message expressing your interest can make a huge difference and show that you're proactive.
✨Tip Number 2
Network like a pro! Attend industry meetups, webinars, or conferences related to deep learning and data science. You never know who you might meet that could help you land that dream job!
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your projects in deep learning, NLP, or any relevant tech. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Deep Learning Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Deep Learning Specialist role. Highlight your experience with data manipulation, machine learning models, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about deep learning and how your background makes you a perfect fit for our team. Don’t forget to mention any teaching or mentoring experience you have, as that’s a big plus for us.
Showcase Your Technical Skills: Be sure to list all your technical skills clearly, especially Python, SQL, and any machine learning frameworks you’ve used. We love seeing hands-on experience, so if you've built or deployed models, let us know!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Informationtechconsultants
✨Know Your Stuff
Make sure you brush up on your deep learning and machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those involving NLP and computer vision. The more you can showcase your expertise in Python, SQL, and relevant libraries like TensorFlow or PyTorch, the better!
✨Showcase Your Teaching Skills
Since the role requires mentoring and training, prepare examples of how you've successfully taught or coached others in coding or data analysis. Highlight any experiences where you’ve led workshops or training sessions, as this will demonstrate your ability to communicate complex concepts effectively.
✨Be Ready for Problem-Solving
Expect to tackle some real-world problems during the interview. Brush up on statistical methods and be prepared to explain how you would approach solving industry-specific issues. Practising with case studies or hypothetical scenarios can help you articulate your thought process clearly.
✨Cultural Fit Matters
Research the company culture at Information Tech Consultants. They value empathy and a service attitude, so think about how you can demonstrate these traits during your interview. Share stories that reflect your collaborative spirit and how you've contributed to team success in fast-paced environments.
