At a Glance
- Tasks: Lead exciting AI projects using cutting-edge technologies like Deep Learning and NLP.
- Company: Join a dynamic startup in London with a vibrant team of young professionals.
- Benefits: Enjoy competitive pay, professional growth, and flexible work options.
- Other info: Collaborative environment with opportunities for remote work and career advancement.
- Why this job: Make an impact by working on innovative solutions that others only dream about.
- Qualifications: Experience in software development and knowledge of machine learning techniques required.
The predicted salary is between 63000 - 77000 £ per year.
Want to work with the latest technologies on projects that include Deep Learning, NLP, LLMs, Backend Development and more?
- Modality: On-site
- What do we offer
- Challenging projects
- Use state of the art machine learning algorithms and techniques
- Opportunity to join a growing startup with multiple professional development opportunities
- Work on stuff other people only read about
- Excellent work environment, full of highly motivated and talented young professionals.
- Opportunity to work on-site and remotely.
Responsibilities
- Willing to take ownership of machine learning projects that include state-of-the-art solutions
- Participating in the research and design of new solutions and complex architectures
- Being proactive in proposing new tools, solutions, and methodologies
- Working with object trackers deployed in edge hardware, using the latest NLP models, building generative models for image and video, work with the latest libraries and frameworks (Lang Chain, Diffusers, Tensor RT, etc)
- If you have
- Experience in software development roles
- Knowledge of popular machine learning techniques and algorithms
- Experience in NLP or LLMs
- Advanced English
- Good communication skills, proactive and eager to take on new challenges and learn new things
- Good interpersonal skills and teamwork interests.
- Familiarity with Scrum or Agile methodologies
- Required tools: Python, Docker, SQL, AWS (or GCP, Azure), Git, Langchain
- It's a plus
- Experience in the financial industry.
- Experience in Dev Ops, experience with Kubernetes.
- Experience leading teams
- #J-18808-Ljbffr
Senior AI Engineer employer: Marvik
Marvik is an attractive employer due to its focus on cutting-edge technologies and a collaborative work environment. Employees have the chance to work on challenging projects while enjoying professional growth opportunities. The company promotes a culture of innovation and proactive contribution from its team members.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Marvik or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Marvik.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Marvik.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Marvik that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Marvik.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Marvik and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Marvik
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Marvik uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
