Netrolynx AI
Machine Learning Engineer
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Job Description - Machine Learning Engineer (Computer Vision)
About the Company
Platform Recruitment is a leading recruitment agency specializing in connecting talented professionals with innovative organizations across various technology sectors. Renowned for our commitment to excellence, we work closely with industry leaders to facilitate the placement of top-tier candidates in roles that drive technological advancement and business growth. Our extensive network and deep understanding of the tech landscape enable us to match candidates with roles that align with their skills and career aspirations. At Platform Recruitment, we are dedicated to fostering a diverse and inclusive workplace, ensuring equal opportunities for all applicants and employees.
About The Role
We are seeking a highly skilled Machine Learning Engineer with expertise in Computer Vision to join our dynamic engineering team. This role involves developing sophisticated machine learning solutions tailored for complex, real-world environments. The successful candidate will play a pivotal role in taking models from research concepts through to deployment, working collaboratively with engineers, data scientists, and domain specialists. The position offers an exciting opportunity to contribute to cutting-edge projects that have tangible impacts across various industries, including autonomous systems, surveillance, healthcare, and more. The role is based in Oxford, with a competitive salary package up to £160,000, depending on experience and qualifications.
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Qualifications
The ideal candidate will possess a strong academic background and practical experience in machine learning and computer vision. Essential qualifications include a degree from a leading Russell Group university in fields such as Computer Science, Mathematics, Engineering, or Physics. Candidates should have at least two years of professional experience in machine learning, AI, or computer vision engineering roles. Proficiency in Python programming is required, along with hands-on experience using frameworks such as PyTorch, TensorFlow, or similar. Demonstrated expertise in developing computer vision models—including object detection, image classification, segmentation, and tracking—is essential. Experience working with real-world datasets and deploying models into production environments is highly desirable. Excellent communication skills and the ability to work effectively within multidisciplinary teams are also critical for success in this role.
Responsibilities
- Responsible for the end-to-end development of computer vision models, including designing, training, and deploying these models into production systems.
- Work across the full machine learning lifecycle—from data collection and preprocessing to model evaluation and optimization.
- Build scalable, robust, and efficient solutions that can operate reliably in real-world conditions.
- Evaluate model performance continuously, identify areas for improvement, and implement enhancements to ensure optimal results.
- Contribute to technical decision-making processes.
- Collaborate with cross-functional teams to understand project requirements.
- Stay updated with the latest advancements in computer vision and machine learning techniques.
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Benefits
Platform Recruitment offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. Benefits include:
- Competitive salary packages
- Flexible working arrangements
- Opportunities for career development through training and certification programs
- A supportive work environment that encourages innovation and collaboration
- Additional perks may include health insurance, pension schemes, and generous holiday allowances
We believe in recognizing and rewarding talent, fostering a culture of continuous learning, and providing resources that enable our team members to excel in their careers.
Equal Opportunity
Platform Recruitment is committed to creating an inclusive environment where diversity is valued and all employees and applicants are treated with fairness and respect. We are proud to be an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other protected characteristic. We believe that diverse teams drive innovation and better decision-making, and we actively encourage candidates from all backgrounds to apply for our roles.
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