At a Glance
- Tasks: Build innovative machine learning solutions and collaborate with diverse teams.
- Company: Join a dynamic team at Faculty, where curiosity drives success.
- Benefits: Enjoy a supportive environment with opportunities for growth and learning.
- Other info: Work alongside brilliant minds and take ownership of exciting challenges.
- Why this job: Make a real impact in professional and financial services using cutting-edge technology.
- Qualifications: Experience in machine learning, Python, and cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
As a Machine Learning Engineer in our Professional and Financial Services business unit, you will work on project teams delivering bespoke machine learning solutions to our clients. You will be responsible for implementing data-driven approaches, contributing to the design of scalable software architectures, and ensuring best practices are followed throughout development.
You will collaborate closely with our commercial team to help shape and deliver high-quality projects. In the early stages of client engagements, you will contribute to defining the technical scope, ensuring that proposed solutions are both feasible and aligned with business objectives. Your work will play a critical role in ensuring we deliver impactful software within agreed timeframes.
This role offers the opportunity to apply cutting-edge machine learning techniques to complex challenges in professional and financial services, while working alongside colleagues from diverse technical and commercial backgrounds.
What You'll Be Doing
- Building software and infrastructure that leverages Machine Learning;
- Creating reusable, scalable tools to enable better delivery of ML systems;
- Working with our customers to help understand their needs;
- Working with data scientists and engineers to develop best practices and new technologies;
- Implementing and developing Faculty's view on what it means to operationalise ML software;
- Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems;
- Working with senior engineers to scope projects and design systems;
- Providing technical expertise to our customers.
Who We're Looking For
- Understanding of, and experience with the full machine learning lifecycle;
- Working with Data Scientists to deploy trained machine learning models into production environments;
- Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch;
- Experience with software engineering best practices and developing applications in Python;
- Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure);
- Demonstrable experience with containers and specifically Docker and Kubernetes;
- An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques;
- Demonstrable experience of managing/mentoring more junior members of the team;
- Outstanding verbal and written communication.
Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution.
What we can offer you:
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Machine Learning Engineer - Professional and Financial Services in London employer: Dormont Manufacturing Co
At Faculty, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. As a Machine Learning Engineer, you'll have the opportunity to work with a diverse team of experts, engage in meaningful projects that challenge your skills, and benefit from continuous professional development. Our commitment to intellectual curiosity and excellence ensures that you will thrive in an environment where your contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Professional and Financial Services in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and frameworks. Practice explaining your past projects and how you tackled challenges. Confidence and clarity can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in what we do at StudySmarter.
We think you need these skills to ace Machine Learning Engineer - Professional and Financial Services in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience, especially with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background fits. Don’t forget to mention your experience with cloud architecture and software engineering best practices – it’s what we care about!
Showcase Your Projects:If you’ve worked on any cool projects, make sure to include them! Whether it’s deploying ML models or building scalable tools, we love seeing practical examples of your work. It helps us understand your hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Machine Learning Stuff
Make sure you brush up on the full machine learning lifecycle and be ready to discuss your experience with frameworks like Scikit-learn, TensorFlow, or PyTorch. Be prepared to share specific examples of how you've deployed models into production environments.
✨Show Off Your Software Engineering Skills
Since this role involves software engineering best practices, come armed with examples of applications you've developed in Python. Highlight your understanding of cloud architecture and any experience with Docker and Kubernetes, as these are key to the job.
✨Communicate Clearly and Confidently
Outstanding verbal and written communication is a must. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate closely with both technical and non-technical team members. Think about how you can convey your ideas effectively during the interview.
✨Be Ready to Collaborate
This role requires working in cross-functional teams, so be prepared to discuss your experience collaborating with data scientists, engineers, and commercial teams. Share examples of how you've contributed to defining technical scopes and ensuring project alignment with business objectives.
