Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop cutting-edge machine learning models to solve real business challenges.
- Company: Join Tektora, a dynamic tech company in London focused on innovation.
- Benefits: Enjoy a competitive salary, comprehensive health insurance, and paid time off.
- Other info: Great opportunities for professional growth and continuous learning in a vibrant environment.
- Why this job: Make an impact in AI/ML while collaborating with top professionals in the field.
- Qualifications: Master's degree in a relevant field and strong programming skills required.
The predicted salary is between 28800 - 48000 £ per year.
Location: London, United Kingdom
Salary: Competitive, based on experience
Job Responsibilities
- Design and develop machine learning models to drive business solutions.
- Analyse large datasets to identify trends and improve AI algorithms.
- Collaborate with cross-functional teams to integrate AI solutions into existing processes.
- Conduct experiments and analyze results to draw insights and optimize models.
- Stay updated with the latest industry trends, tools, and technologies in AI and machine learning.
- Document processes, models, and results, presenting findings to stakeholders.
- Mentor junior engineers and support them in their projects and career growth.
Essential Qualifications
- Master's degree in Computer Science, Data Science, Artificial Intelligence or related field.
- Strong programming skills in Python, R, or Java.
- Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
- Solid understanding of statistics, data structures, and algorithms.
- Proficiency in data manipulation and visualization using tools like pandas, NumPy, or Matplotlib.
- Excellent problem-solving skills and ability to work under tight deadlines.
Desired Experience
- Minimum of 2 years of relevant experience in AI/ML development.
- Experience in deploying machine learning models in production environments.
- Familiarity with cloud technologies such as AWS, Azure, or Google Cloud.
- Demonstrable experience in delivering successful AI/ML projects from concept to deployment.
- Exposure to Big Data technologies (e.g., Hadoop, Spark) is a plus.
Salary & Benefits
- Competitive annual salary, commensurate with experience.
- Comprehensive health insurance package.
- Paid vacation and holidays.
- Opportunities for professional development and continuous learning.
- Dynamic work environment aimed at promoting innovation and growth.
- The opportunity to work with a team of highly skilled professionals in the field of AI and ML.
How to Apply
Interested candidates are encouraged to submit their resume and a cover letter outlining their qualifications and experience for the AI / ML Engineer position at Tektora.
AI / ML Engineer in London employer: Tektora
Contact Detail:
Tektora Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Engineer in London
✨Network Like a Pro
Get out there and connect with people in the AI/ML field! Attend meetups, webinars, or industry conferences. You never know who might have a lead on your dream job or can introduce you to someone at Tektora.
✨Show Off Your Skills
Create a portfolio showcasing your projects and experiments. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your expertise in machine learning!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding of algorithms. Practice common ML problems and be ready to discuss your past projects. Confidence is key, so show them what you've got!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Tektora. Let's get you that AI/ML Engineer role!
We think you need these skills to ace AI / ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your relevant experience, especially with machine learning frameworks and programming languages like Python or R. 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 AI and ML, and how your background makes you a great fit for our team. Don't forget to mention any projects you've worked on that relate to the job.
Showcase Your Projects: If you've got any cool projects or experiments you've conducted, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills and creativity in AI/ML.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep everything organised and ensures your application reaches the right people. Plus, it's super easy!
How to prepare for a job interview at Tektora
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and frameworks mentioned in the job description, like Python, R, TensorFlow, and PyTorch. Brush up on your knowledge of statistics and algorithms, as you might be asked to solve problems on the spot.
✨Showcase Your Projects
Prepare to discuss your previous AI/ML projects in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Stay Current with Trends
Familiarise yourself with the latest trends and technologies in AI and machine learning. Mention any recent advancements or tools you’ve been exploring, as this shows your passion for the field and commitment to continuous learning.
✨Practice Collaboration Scenarios
Since collaboration is key in this role, think of examples where you’ve worked with cross-functional teams. Be prepared to discuss how you integrated AI solutions into existing processes and how you mentored junior engineers, as these experiences will highlight your teamwork and leadership skills.