At a Glance
- Tasks: Research and develop innovative AI/ML solutions for real-world challenges.
- Company: Join a cutting-edge tech company in Cambridge focused on advanced AI solutions.
- Benefits: Competitive salary of £60,000-£120,000 plus comprehensive benefits.
- Other info: Dynamic R&D team with opportunities for career growth.
- Why this job: Make an impact by working on groundbreaking machine learning projects.
- Qualifications: Strong STEM degree and experience in Machine Learning required.
The predicted salary is between 72000 - 88000 £ per year.
Full Time On-site Cambridge, UKPosted 16 hours ago60,000-120,000 GBP / Year Machine Learning Engineer job in Cambridge | Salary: 60,000-120,000Hexwired has partnered with an innovative technology company developing advanced AI and machine learning solutions for complex, real-world applications.
They are looking for a Machine Learning Engineer to join a multidisciplinary R&D team in Cambridge working on cutting-edge machine learning projects from concept through to deployment.
Research and develop innovative AI/ML solutions for challenging technical problems.
Design, train and evaluate machine learning models across a variety of applications.
Analyse research papers and apply the latest ML techniques.
Key Skills required for this Machine Learning Engineer role: Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject.
Commercial or research experience in Machine Learning (industry, Ph D, MSc or personal projects).
Strong Python programming skills.
Experience with one or more ML frameworks such as Py Torch, Tensor Flow, Keras or JAX.
They are looking to pay circa 60k – 120k along with a comprehensive benefits package.
If you're interested in this Machine Learning Engineer job in Cambridge, please apply.
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Tagged as: C++, Machine Learning, Python, Software
Machine Learning Engineer*in in Cambridge employer: Hexwired Recruitment
Hexwired is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, they provide ample opportunities for professional development and a competitive benefits package, making it an ideal place for Data Analysts looking to make a meaningful impact in the software sector.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer*in in Cambridge
✨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 Hexwired Recruitment 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 Hexwired Recruitment.
✨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 Hexwired Recruitment.
✨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 Hexwired Recruitment 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*in in Cambridge
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 Hexwired Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hexwired Recruitment 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 Hexwired Recruitment
✨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 Hexwired Recruitment 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.
