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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