At a Glance
- Tasks: Design, build, and deploy machine learning models to tackle complex business challenges.
- Company: Join a growing SME in Bristol with a focus on innovation.
- Benefits: Competitive salary, flexible working, and ongoing development opportunities.
- Other info: Collaborative environment with a small team of experts.
- Why this job: Make a real impact by turning insights into impactful products.
- Qualifications: 3+ years experience, Python and SQL skills, familiarity with ML frameworks.
The predicted salary is between 60000 - 84000 £ per year.
We are looking for a Machine Learning Engineer to join our Bristol-based client, to deliver end-to-end solutions on exciting new projects which have come about due to growth.
You’ll be designing, building and deploying machine learning models which solve complex business challenges, working closely with cross-functional teams at all stages, to turn insights into impactful products.
In this role you will:
- Work end-to-end on new ML models from development through to training and optimising
- Work closely with a small team of data scientists, engineers and product managers
- Implement scalable data pipelines and deployment strategies for new models
- Continuously improve solutions and conduct performance evaluations of models
What we’re looking for:
- 3+ years of industry or research experience
- Python and SQL proficiency, with experience using ML frameworks e.g. PyTorch
- Experience with Azure cloud
- Driven to progress within a growing SME
What our client is offering:
- £70,000 - £80,000 salary DOE
- Flexible working arrangements with 2 days on site
- Ongoing development and progression opportunities in line with your interests and skills
Machine Learning Engineer employer: Peaple Talent
Join a dynamic and innovative organisation in the UK that prioritises employee growth and development, offering a collaborative work culture where your contributions are valued. As an IP Engineering Lead, you will benefit from a supportive environment that encourages technical excellence and leadership, with ample opportunities to shape engineering standards and advance your career in the rapidly evolving field of network services.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow Machine Learning enthusiasts. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your past projects. Practising coding challenges can also give you an edge when it comes to technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you a better chance of landing that interview.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, SQL, and any ML frameworks like PyTorch. We want to see how your skills match 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 passionate about machine learning and how your previous projects align with our client's needs. Let us know what excites you about this opportunity!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your work and how you’ve tackled complex challenges.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Peaple Talent
✨Know Your ML Models
Make sure you brush up on the machine learning models you've worked with. Be ready to discuss specific projects where you designed, built, or deployed models. Highlight your problem-solving skills and how your contributions made a difference.
✨Showcase Your Technical Skills
Since Python and SQL are key for this role, prepare to demonstrate your proficiency. You might be asked to solve a coding challenge or explain your approach to data manipulation. Practise common algorithms and frameworks like PyTorch to show you're up to speed.
✨Understand the Business Impact
Be prepared to discuss how your work as a Machine Learning Engineer can solve complex business challenges. Think of examples where your insights turned into impactful products. This shows you understand the bigger picture and can communicate effectively with cross-functional teams.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and growth opportunities. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
