Overview:
Machine Learning Engineer. UK HYBRID WORKING. Band 3. Full time, Mon - Fri 37.5 hours per week. Flexibility, bonus scheme (10% of basic salary based on business and personal performance) and many more fantastic benefits!
We’re AND-E – one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth.
We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first-class leadership credentials to bring our people with you on this journey and take us to the next level.
As a member of the MOTIX Algorithm Innovations team, you will be part of the Machine Learning team responsible for model building and providing support for telematic data services. Your primary responsibility will be to translate the needs and requirements of various departments (such as security, data governance, and performance) into robust and dependable machine learning products that can be deployed in a production environment.
Additionally, you will have the opportunity to gain practical experience with a top-tier data platform. Your responsibilities will include the day-to-day management of team activities, ensuring timely and accurate delivery of reports, and contributing strategically to the team's direction and the generation of valuable insights for analytics purposes.
If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you.
BE THE NEXT BIG THING, NOW.
Responsibilities:
- To deliver projects and innovation in the data science section of Motix through the development of Machine Learning models and projects to address and extend business requirements and needs.
- Responsible for implementation and support of machine learning solutions. Involves research, planning, designing, optimizing, testing and deployment of algorithms as well as design and delivery of development infrastructure, technologies and pipelines.
- Manage full lifecycle of machine learning algorithms projects from research to deployment and ongoing operation.
- Responsible for individual project deliverables including quality of code and models, managing project-level schedules and tasks, ensuring deliverables are fit-for-purpose, as well as communication and planning relevant project details with other teams.
- Individually responsible for projects as well as supporting the wider team to provide the business with quality data-driven enhancements and predictions with a high level of confidence to internal and external partners.
- Ensure that provided products and services are fit for purpose, meeting or exceeding requirements and expectations.
- Drive innovation and improvements within the platform and wider business to deliver business value.
- Communicate with the business and other developers, ways to maximise product suitability, to drive innovation and to ensure existing algorithms and their predictions are of expected quality.
- Continuously identifies and assess opportunities for improvements in our products and platform making recommendations to adapt and improve existing products and services.
- Research and develop effective and efficient solutions.
Knowledge, Experience and Qualifications:
Degree or higher degree in a STEM area (or equivalent work experience)
Technical Skills
- Experience with Python and/or JVM-related languages, such as Java, Kotlin or Scala.
- Experience with a scientific computing stack. (NumPy or Breeze, Pandas or Saddle, Scikit-Learn or Spark MLlib etc.)
- Experience with a web framework (Flask/Fastapi, ktor/PLAY)
- Good experience with cloud computing (AWS preferred).
- Demonstrable experience with data science projects. (Open source, academic, and/or commercial)
- Demonstrate good ability and instincts to data analysis.
- Experience with deploying predictive models and algorithms in a production environment.
- Proven experience in working with large data sets.
- Extensive knowledge of regression and classification supervised machine learning algorithms.
- Knowledge of unsupervised machine learning algorithms and dimensionality reduction techniques.
- Experience in building deep learning algorithms.
- Knowledge of optimisation methods specifically as applied to machine learning/artificial intelligence.
- Experience in communicating and demonstrating analysis results to an audience.
- Knowledge of concurrent design patterns.
- Experience of Continuous Integration and Continuous Deployment tools (e.g. Gitlab CI, Jenkins etc.)
- Understanding of software architectures and software engineering best practices.
- Knowledge of agile practices such as Kanban, XP or Scrum
Personal Skills
- Strong communication and organisation skills with the ability to operate in a team with mixed disciplines.
- Able to communicate clearly at all levels of the business.
- Initiative to drive projects to fruition and demonstrate
Our Community
Benefits:
Bonus scheme- Hybrid working- flexibility
- Wagestream – flexible pay
- Full training programme
- Competitive holiday allowance plus bank holidays
- Buy/sell up to 5 days holiday
- Money towards driving lessons (Safe driving scheme offers access online learning and driving lessons for colleagues and their spouses & dependents)
- Life assurance
- Many other lifestyle discounts
- Healthcare cash plan offers money back on everyday health-related expenses
- Employee Assistance programme
- Flu Jab Voucher is offered during the flu season to protect against the unpredictable flu virus
- Virtual GP online service with appointments available 365 days of the year
- Pension Advisory Service non-advised surgeries to support in the planning of retirement
- Enhanced Family friendly policy
- Season ticket loan
- Free fresh fruit Tuesdays
- Cycle scheme - choose a bike, hire it for an agreed time then snap it up for a fraction of the cost
It is our community’s unwritten rule to be as flexible as we can be. We understand life happens and on occasion we all need a bit of give and take in our day; we don’t want you missing your child’s school play, the new fridge being delivered and we know the boiler engineer comes at some point between 8 and 6! We believe our colleagues should have choice, flexibility and balance in their home and work life.
We care about our colleagues and their well-being and we have been nationally recognised for this. Apart from the competitive salary, we also have fantastic benefits. Focusing on colleague’s health, wealth and lifestyle. We like to think our benefits package is one of the best around!
Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics).