At a Glance
- Tasks: Design and deploy AI solutions using cutting-edge computer vision and deep learning technologies.
- Company: Leading digital commerce organisation at the forefront of AI transformation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI and continuous improvement.
- Why this job: Join a dynamic team to innovate and enhance customer experiences with AI.
- Qualifications: Strong Python skills and experience with machine learning frameworks like PyTorch and TensorFlow.
The predicted salary is between 63000 - 77000 £ per year.
- JOB TITLE
- Senior AI Engineer – Machine Learning (Computer Vision)
- LOCATION
- North London – hybrid
- SALARY
- £650 per day outside IR35
- LENGTH
- 6 months
- ABOUT THE BUSINESS
Our client is a leading digital commerce organisation undergoing a significant technology transformation.
This is an exciting opportunity to join a business at the forefront of AI adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth.
- THE SENIOR AI ENGINEER – MACHINE LEARNING (COMPUTER VISION) OPPORTUNITY
- Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative AI technologies.
- Build and maintain scalable data pipelines, ensuring high standards of data quality, governance, and reliability.
- Develop multimodal AI models that combine visual, textual, and customer data to deliver enhanced automation and personalisation capabilities.
- Apply MLOps best practices across the AI lifecycle, including CI/CD, monitoring, model deployment, testing, and performance optimisation.
- Collaborate with product, engineering, and cloud teams to create secure, scalable, and responsible AI solutions while supporting ongoing innovation.
- YOUR KEY SKILLS
- Strong commercial experience with Python and machine learning frameworks such as Py Torch, Tensor Flow, and Hugging Face.
- Proven expertise developing and deploying computer vision and deep learning solutions in production environments.
- Experience fine-tuning and optimising pre-trained models for specific business applications.
- Hands-on knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG), and model fine-tuning techniques.
- Understanding of modern software engineering practices including Git, CI/CD, Containerisation, and MLOps methodologies.
- Experience delivering end-to-end machine learning projects from concept through to production deployment.
- Strong understanding of AI evaluation frameworks, model testing, benchmarking, and performance measurement.
- Knowledge of responsible and ethical AI principles, including bias detection and risk mitigation.
- Excellent stakeholder management and communication skills, with the ability to work across multidisciplinary teams.
- Self-motivated individual with a passion for learning, innovation, and continuous improvement.
- APPLY NOW
If you're an experienced AI Engineer looking to work on cutting-edge computer vision and generative AI projects at scale, we'd love to hear from you.
Apply today or contact the team for a confidential discussion about this opportunity.
C4S Search specialise in connecting exceptional technology talent with innovative organisations across the UK.
We partner with businesses that are transforming their industries through technology, helping professionals take the next step in their careers.
Computer Vision Engineer in London employer: C4S Search Ltd Careers
C4S Search is an exceptional employer, offering a dynamic work environment within a well-established law firm in London. With a strong focus on employee growth and development, the company provides opportunities to lead innovative IT projects while fostering a collaborative culture that values both technical expertise and effective communication. Employees benefit from a supportive atmosphere, competitive remuneration, and the potential for hybrid working arrangements after probation, making it an attractive choice for IT professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer in London
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at C4S Search Ltd Careers who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at C4S Search Ltd Careers!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at C4S Search Ltd Careers to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Computer Vision Engineer in London
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at C4S Search Ltd Careers!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Computer Vision Engineer at C4S Search Ltd Careers! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at C4S Search Ltd Careers
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that C4S Search Ltd Careers uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at C4S Search Ltd Careers that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest C4S Search Ltd Careers, so it's relevant and sparks conversation during your interview.
