At a Glance
- Tasks: Tackle exciting computer vision challenges and develop innovative ML solutions.
- Company: Join a forward-thinking tech team shaping the future of AI.
- Benefits: Enjoy private medical cover, life insurance, and free on-site parking.
- Other info: Collaborative environment with excellent growth opportunities and a focus on diversity.
- Why this job: Make a real impact in diverse industries like entertainment and healthcare.
- Qualifications: Strong background in computer vision, ML techniques, and Python.
The predicted salary is between 36000 - 60000 £ per year.
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This range is provided by Humand Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Humand Talent
Are you ready to push the boundaries of computer vision and machine learning?
We’re looking for a talented Machine Learning Engineer to join an innovative team developing high-performance software and cutting-edge hardware used across entertainment, engineering, medical, sports and many more.
In this role, you’ll be part of a collaborative research and development environment, working on challenging computer vision problems and delivering solutions that power real-world applications.
What you’ll be doing:
- Tackling computer vision challenges such as object detection, human pose estimation, and modelling shape, appearance, and movement.
- Applying advanced ML methods (CNNs, ViTs) alongside non-ML algorithms.
- Working with large spatio-temporal datasets.
- Taking projects from research prototypes through to production.
- Collaborating with a skilled, multidisciplinary team in a hybrid setup.
What we’re looking for:
- Strong academic (research Masters/PhD) or equivalent industry experience in computer vision & machine learning.
- Proven track record applying ML techniques to solve vision problems.
- Python, PyTorch, and Lightning experience essential; C++ a bonus.
- Experience with model optimisation (e.g., quantisation for GPUs) is desirable.
- A proactive, collaborative mindset with a passion for innovation.
What’s on offer:
- Private medical cover (including optical & dental)
- Life cover & permanent health insurance
- Free on-site parking and many more...
If you want to be part of a forward-thinking team shaping the future of motion capture and computer vision, we’d love to hear from you.
Diversity & Inclusion
Humand Talent and our client believe that innovation is stronger when built by diverse teams. We’re proud to support equal opportunity for all, and welcome applicants regardless of age, disability, gender identity, race, religion or belief, sex, sexual orientation, or background. We celebrate difference - and we want to hear from you.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Technology, Information and Media
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#J-18808-LjbffrMachine Learning Engineer ID42778 employer: Humand Talent
Humand Talent is an excellent employer, offering a dynamic work culture that prioritises collaboration and innovation in the heart of Oxfordshire. Employees benefit from a hybrid working model, competitive growth opportunities, and a strong emphasis on mentorship, making it an ideal environment for those looking to advance their careers while contributing to impactful software development projects.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer ID42778
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving computer vision and ML techniques. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning Engineer ID42778
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, PyTorch, and any other relevant tools in your application. We want to see how you've tackled computer vision challenges in the past!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background to what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Humand Talent
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around computer vision techniques like CNNs and ViTs. Be ready to discuss how you've applied these methods in past projects, as this will show your depth of knowledge and practical experience.
✨Showcase Your Projects
Prepare to talk about specific projects where you've tackled computer vision challenges. Highlight your role, the technologies you used (like Python and PyTorch), and the impact of your work. This gives interviewers a clear picture of your capabilities.
✨Collaborative Mindset
Since the role involves working in a multidisciplinary team, be ready to discuss how you collaborate with others. Share examples of how you've worked with different teams or disciplines to solve complex problems, showcasing your proactive and innovative approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions in machine learning and computer vision. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
