At a Glance
- Tasks: Develop and implement machine learning models while collaborating with a dedicated success lead.
- Company: Innovative tech firm focused on integrity and responsibility.
- Benefits: Competitive pay structure, AI tooling, and a two-week paid trial.
- Other info: Opportunity to work closely with engineers and receive personalised feedback.
- Why this job: Join a dynamic team where your contributions truly matter and grow your skills.
- Qualifications: Experience in machine learning and a passion for continuous learning.
The predicted salary is between 60750 - 74250 £ per year.
You are placed for the work and kept on it.
The client meets you, not a profile, and the engineer they interview is the engineer who ships.
Benefits, equipment and AI tooling are included in the 25% of every rate that is not your pay, and every embedded person has a dedicated success lead on our side.
Pay follows the published 60 / 25 / 15 split, wherever you are.
Most roles start with a two-week paid trial on real work, so both sides decide on evidence rather than another interview.
- What we look for
- 01 Integrity & responsibility
Explain your choices, name uncertainty, and take responsibility when something needs to change.
- 02 Talent & capacity to learn
Show us work you understand, what made it difficult, and what you would do differently now.
- 03 Care for the work
Notice the details that affect another person. Ask questions, follow through, and learn from mistakes.
- 04 Communication & listening
Make a complex idea clear, listen to another view, and give feedback someone can use.
- 05 Curiosity & contribution
Bring questions, share what you learn, and help the people around you become better at the work.
We read everything. If the fit is right, you hear from an engineer, not a form.
Machine Learning Engineer London · Senior employer: Lateral, Inc
Lateral, Inc is an attractive employer due to its unique hands-on approach to machine learning engineering, allowing employees to engage directly with clients. The company supports professional development through a two-week paid trial period, ensuring both parties can validate fit before committing. Additionally, employees benefit from dedicated success leads and comprehensive resources for their work.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer London · Senior
✨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 Lateral, Inc 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 Lateral, Inc.
✨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 Lateral, Inc.
✨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 Lateral, Inc 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 Machine Learning Engineer London · Senior
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 Lateral, Inc.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lateral, Inc 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 Lateral, Inc
✨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 Lateral, Inc 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.
