At a Glance
- Tasks: Drive innovation in speech technology through cutting-edge machine learning projects.
- Company: Join a leading voice AI company committed to inclusivity and global impact.
- Benefits: Flexible working, competitive salary, health benefits, and generous holiday allowance.
- Other info: Dynamic hybrid work environment with excellent career development opportunities.
- Why this job: Make a real difference in the world of speech AI with top industry experts.
- Qualifications: Experience in machine learning and strong technical writing skills.
The predicted salary is between 72000 - 88000 £ per year.
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Senior Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions.
It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards.
Understanding of the modern Machine Learning stack, for example:
- Experience in distributed training techniques.
- Technical writing skills as evidenced by relevant publications or blogs.
The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers' stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.
Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We’ll do all we can to help you develop your skills and give you the tools you need to thrive. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.
No matter what stage of your career you’re at - from paid internships and first-job opportunities through to management and senior positions - we’ll support you with the training and development needed to reach your career aspirations with us. We offer incredibly flexible working, regular company lunches, and birthday celebrations. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course).
Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. That's not just about our tech – it's the heart and soul of who we are. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don’t just open the door to diversity – we actively welcome it. So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued.
For more information on us, please visit our website and follow Speechmatics on our social channels via Twitter, Facebook, LinkedIn, and YouTube.
Senior Machine Learning Engineer - AI in Cambridge employer: Speechmatics
At Speechmatics, we pride ourselves on being an exceptional employer that values innovation and security in the tech industry. Our hybrid work culture promotes flexibility and work-life balance, while our commitment to employee growth is evident through global opportunities and comprehensive benefits, including private medical and dental care. Join us to be part of a forward-thinking team where your contributions to governance, risk, and compliance will make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer - AI 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 Speechmatics 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 Speechmatics.
✨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 Speechmatics.
✨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 Speechmatics 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 Machine Learning Engineer - AI 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 Speechmatics.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Speechmatics 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 Speechmatics
✨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 Speechmatics 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.
