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
Tektora is an exceptional employer that values innovation and collaboration, providing a dynamic work environment in Farnborough. With a strong focus on employee development, we offer extensive training opportunities and a supportive culture that encourages professional growth. Join us to be part of a team that not only delivers cutting-edge network solutions but also prioritises your career advancement and job satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land AI / ML Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tektora!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI / ML Engineer at Tektora.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tektora.
✨Apply Directly through Our Website
When you find a suitable opening like AI / ML Engineer at Tektora, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI / ML Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tektora, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tektora. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tektora
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tektora!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
