Senior Computer Vision Engineer

Senior Computer Vision Engineer

Full-Time 72000 - 108000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative projects in computer vision and machine learning, transforming data into actionable insights.
  • Company: Dynamic tech firm in London, focused on cutting-edge AI solutions.
  • Benefits: Attractive salary, health perks, remote flexibility, and opportunities for professional growth.
  • Why this job: Join a team shaping the future of AI and make a real impact in technology.
  • Qualifications: 12+ years in data science, strong coding skills in Python and SQL, and mentoring experience.
  • Other info: Fast-paced environment with excellent career advancement opportunities.

The predicted salary is between 72000 - 108000 Β£ per year.

Location: London

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 project management experience.
  • Desirable previous international experience (US, Canada, or Europe).
  • Leading consultants to grow and create tangible benefits and assets.

Competencies:

  • Mentor / Develop / Train consultants.
  • 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.

Senior Computer Vision Engineer employer: Information Tech Consultants

As a Senior Computer Vision Engineer in London, you will join a dynamic and innovative team that values collaboration and continuous learning. Our company offers a supportive work culture with ample opportunities for professional growth, including mentorship and training programmes tailored to enhance your skills in cutting-edge technologies like Generative AI and Deep Learning. With a focus on impactful projects and a commitment to employee well-being, we provide a stimulating environment where your contributions can lead to meaningful advancements in the field.
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Contact Detail:

Information Tech Consultants Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Computer Vision Engineer

✨Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to computer vision and AI. You never know who might have a lead on your dream job!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in machine learning and computer vision. Whether it's GitHub repos or a personal website, let your work speak for itself. We love seeing what you can do!

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, we want to see how you think and solve problems!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who are eager to make an impact in the field of AI and computer vision.

We think you need these skills to ace Senior Computer Vision Engineer

Data Manipulation
Statistical Modelling
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Generative AI
Python
SQL
Cloud Technologies (AWS, Azure, Google Cloud Platform)
TensorFlow
Keras
PyTorch
OpenCV
Project Management
Training and Mentoring

Some tips for your application 🫑

Tailor Your CV: Make sure your CV is tailored to the Senior Computer Vision Engineer role. Highlight your experience with machine learning models, coding skills in Python and SQL, and any relevant projects you've worked on. We want to see how your background aligns with 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 computer vision and how your skills can benefit StudySmarter. Don't forget to mention any teaching or mentoring experience, as we value that highly.

Showcase Your Projects: If you've worked on any cool projects related to generative AI, NLP, or computer vision, make sure to include them in your application. We love seeing practical examples of your work, so share links or descriptions that demonstrate your expertise!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining the StudySmarter team!

How to prepare for a job interview at Information Tech Consultants

✨Know Your Tech Inside Out

Make sure you’re well-versed in the latest trends and technologies in computer vision, deep learning, and generative AI. Brush up on your Python and SQL skills, as well as any relevant machine learning frameworks like TensorFlow or PyTorch. Being able to discuss specific projects you've worked on will show your expertise.

✨Show Off Your Teaching Skills

Since the role involves mentoring and training, be prepared to share examples of how you've successfully taught or coached others in coding or data science. Highlight any experiences where you’ve led workshops or training sessions, as this will demonstrate your ability to communicate complex concepts effectively.

✨Prepare for Problem-Solving Questions

Expect to tackle some technical problem-solving questions during the interview. Practice explaining your thought process clearly and logically. Use examples from your past work to illustrate how you approached challenges, especially those related to data analysis or machine learning model development.

✨Understand the Business Context

Familiarise yourself with the consulting and sales structure relevant to the company. Be ready to discuss how your technical skills can translate into tangible business benefits. Showing that you understand the bigger picture will set you apart from other candidates.

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