Reqiva are partnered with an innovative fintech start-up committed to revolutionising customer service in the financial industry. The mission is to replace dated paper and telephone customer service with a digital journey that personalizes to each customer's needs. Already a market leader with over £50 billion of mortgages serviced by their solution. The team is committed to problem-solving and creating a unique place where user empathy and data are at the core of the product and the business.
Responsibilities of the Machine Learning Engineer:
- Design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning to help our customers solve high-impact problems.
- Develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical, and practical requirements.
- Collaborate with cross-functional teams, including commercial, data science, product management, and design, to cover all aspects of AI product delivery.
- Support both technical and non-technical stakeholders to deploy ML to solve real-world problems.
- Participate in strategy design, problem formation, and prioritisation, data sourcing, and data exploration.
Requirements of the Machine Learning Engineer:
- Strong expertise in machine learning, including supervised and unsupervised learning, natural language processing (NLP), and reinforcement learning.
- Fluent in data exploration techniques and enjoys collaborating with others.
- Skilled in strategy design, problem formation and prioritization, and data sourcing, including implementing and using APIs and database administration.
- Familiar with organization data maturity concepts.
- Proficiency in Python, SQL, Airflow, AWS, Pandas, and Pytorch or Tensorflow.
- Strong focus on engineering with a keen interest and working knowledge of operationalised machine learning.
- Ability to take cutting-edge ML applications into the real world.
Benefits:
- Competitive salary and equity package
- 25 working days paid + bank holidays
- Regular team-building events and trips
- Fun and energetic team environment
- Great offices in London
- Trust & Accountability: We trust our employees to take personal ownership of growing the company and support work-life balance.
- Diversity: We prioritize diversity and inclusivity, valuing different perspectives.
If you're a pro-active and driven individual who's passionate about operationalised machine learning, we want to hear from you! This role requires in-office days (to be agreed) with flexibility to work from home.
Office Location: London
Salary: DOE
Job Type: Permanent
Email –
[email protected]
Number – 0118 959 5552