At a Glance
- Tasks: Design and optimise machine learning models, build scalable pipelines, and deploy production systems.
- Company: Join a forward-thinking tech company in West London with a hybrid work model.
- Benefits: Competitive salary of £60,000, flexible working, and opportunities for professional growth.
- Other info: Open to international applicants; UK experience not required.
- Why this job: Make an impact by solving real business problems with cutting-edge machine learning technology.
- Qualifications: 4+ years in ML Engineering, strong TensorFlow skills, and experience with production ML pipelines.
An opportunity for an experienced Machine Learning Engineer to build, deploy and operate production-grade machine learning systems at scale. This is a hands-on ML Engineering role rather than a GenAI-focused position. You'll work across the full machine learning lifecycle, from model development and training through to pipelines, deployment, serving, monitoring and ongoing optimisation.
The role:
- Designing, training and optimising machine learning models using TensorFlow
- Building and maintaining scalable ML pipelines using TFX
- Deploying and serving models within production environments
- Monitoring and maintaining ML systems to ensure reliability and performance
- Working with large-scale structured and unstructured datasets
- Contributing to experimentation and continuous model improvement
- Collaborating with engineering, data and product teams to deliver ML solutions that solve real business problems
Your experience:
- 4+ years of relevant, hands-on Machine Learning Engineering experience
- Strong commercial experience with TensorFlow
- Hands-on experience with TFX (TensorFlow Extended) and production ML pipelines
- Experience taking ML models from development through to production deployment
- Strong understanding of MLOps, model serving, monitoring and maintenance
- Experience building scalable ML systems in production environments
- Strong Python skills
Experience with recommendation systems, personalisation, ranking algorithms or high-volume/real-time data would be beneficial, but isn't essential. Experience with TensorFlow Serving, Triton, TorchServe, Scala or production GenAI applications would also be advantageous. UK experience isn't essential. Previous UK experience isn't required. Applications are welcome from experienced Machine Learning Engineers who have built their careers internationally and are now looking to establish or continue their career in the UK. You must already have the right to work in the UK for the duration of the 12-month contract, as sponsorship isn't available for this position. If you've built and operated production ML systems using TensorFlow and TFX and are looking for your next opportunity in the UK, this could be a strong fit.
Senior Machine Learning Engineer employer: Maxwell Bond
Join a forward-thinking company in West London that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact real business solutions. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in machine learning. Enjoy the flexibility of a hybrid work model, allowing you to balance your professional and personal life while being part of a supportive team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Maxwell Bond who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Maxwell Bond!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Maxwell Bond to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Maxwell Bond!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Senior Machine Learning Engineer at Maxwell Bond! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Maxwell Bond
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Maxwell Bond uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Maxwell Bond that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Maxwell Bond, so it's relevant and sparks conversation during your interview.
