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- Tasks: Lead the delivery and scaling of innovative Machine Learning products.
- Company: Join DeGould, a multi-award-winning software and AI company.
- Benefits: Enjoy flexible working, 25 days holiday, and enhanced parental leave.
- Why this job: Make a real impact in a fast-paced, growth-focused environment.
- Qualifications: Strong Python skills and experience with MLOps and Machine Learning frameworks.
- Other info: Collaborative culture with opportunities for professional development.
The predicted salary is between 43200 - 72000 £ per year.
DeGould requires a communicative Head of Machine Learning to lead the delivery and scaling of our Machine Learning products. The role assists with model quality, MLOps implementation, and the transition from R&D to production, working closely with Product, R&D, and Engineering leadership. They will lead and support team leads while championing best practices in Machine Learning across the organisation.
Duties & Responsibilities
- Improving our Spec Check and Defect Detection Products.
- Delivering both above by leading on implementation of our Machine Learning Products through the application of MLOps.
- Being responsible for the delivery and quality of the models we deliver to our customers across our Products.
- Working closely with the Head of Product and CTO in formation of a new delivery team for Data Science.
- Working closely with our R&D and Product teams to make sure there’s a clear delivery path from R&D concept to deliverable product.
- To manage your team leaders effectively and provide them with the feedback they need to be accountable leaders of their products.
- To build and set best practices for the deployment of pipelines for training detection, segmentation and/or classification machine learning models.
- To drive and champion adoption of best practices for Machine Learning across the organisation.
Skills
- Ability to communicate effectively about complex technical problems to stakeholders at multiple levels.
- To be able to engage with their team and other stakeholders within the business to drive change and improve outcomes (to act as a multiplier beyond their own ability to act).
- Strong knowledge of Python (numpy, pandas, seaborn, matplotlib, dvc, streamlit, opencv and more).
- Strong knowledge of modern programming paradigms (OOP, functional programming etc).
- Ability to write clean, robust, readable, error handling and error tolerant code.
- Good knowledge of at least one of PyTorch, Keras, Tensorflow, Nvidia TAO (TLT).
- Working knowledge of core AWS concepts and services such as EC2, ECS, EKS, or Cloudwatch.
- Good knowledge of DevOps and MLOps tools, including usage of CI/CD pipelines (e.g. GitHub Actions).
- Technical understanding of CNNs including YOLOv4/v5, Detectron2 or similar.
- Technical knowledge of relevant ML performance metrics and how to apply them to monitor performance.
About the Company
DeGould is an exciting, multi-award-winning company, in the software and AI sector. The company develops and delivers innovative vision and damage detection systems to a range of blue-chip corporate clients. As the company embarks on an exciting growth phase the company plans to expand the team, further develop existing products, and explore opportunities for new ones.
Benefits
- Competitive salary and benefits including:
- Flexible working can be agreed.
- 25 days holiday per annum (excluding bank holidays).
- Life assurance/death in service of 4 times basic salary.
- Additional days holiday for birthday.
- Company sick pay scheme.
- Cycle to work scheme.
- Pension auto enrolment after 3 months service.
- Enhanced maternity, paternity and shared parental leave.
Behaviours
As an employee of DeGould Ltd, you are required to meet a number of common standards of behaviour, accountabilities and outcomes. In addition, and in relation to this role it is expected that the successful candidate will exhibit these behaviours:
- Empathy – able to put themselves in the shoes of others.
- Creative – open to new ideas and demonstrates good design skills in their work.
- Analytical - capable of working through the detail when required.
- Flexible - thriving in a fast paced, changing and opportunity rich environment.
- Collaborative – enthusiastically works with colleagues and customers alike.
- Dependable - deliver on stakeholder commitments in a timely manner.
Head of Machine Learning in Exeter employer: DeGould
Contact Detail:
DeGould Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Machine Learning in Exeter
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to MLOps and model delivery. Practice explaining complex concepts in simple terms – it’s all about effective communication!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Head of Machine Learning in Exeter
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Head of Machine Learning role. Highlight your experience with MLOps, model quality, and any relevant projects that showcase your skills in Python and machine learning frameworks.
Showcase Your Communication Skills: Since this role involves communicating complex technical problems, give examples in your application of how you've effectively engaged with stakeholders at different levels. We want to see how you can bridge the gap between tech and non-tech folks!
Highlight Leadership Experience: As a Head of Machine Learning, you'll be managing team leads. Share your leadership experiences and how you've supported teams in achieving their goals. We love seeing candidates who can inspire and drive change!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at DeGould
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around Python and MLOps tools. Be ready to discuss your experience with frameworks like PyTorch or TensorFlow, and how you've applied them in real-world scenarios. This will show that you’re not just familiar with the theory but can also implement it effectively.
✨Communicate Clearly
Since the role requires effective communication about complex technical problems, practice explaining your past projects in simple terms. Think about how you can convey your ideas to stakeholders at different levels, ensuring they understand the impact of your work without getting lost in jargon.
✨Show Your Leadership Skills
Be prepared to discuss how you've managed teams in the past. Highlight specific examples where you’ve provided feedback, driven change, or championed best practices. This will demonstrate your ability to lead and support team leads effectively, which is crucial for this position.
✨Emphasise Collaboration
The job involves working closely with various teams, so be ready to share examples of successful collaborations. Talk about how you’ve engaged with R&D and Product teams to ensure smooth transitions from concept to deliverable product. This will showcase your ability to thrive in a collaborative environment.
