Machine Learning Engineer - Python - York (hybrid)

Machine Learning Engineer - Python - York (hybrid / remote)

Overview:

are seeking a passionate and innovative Machine Learning Engineer / Data Scientist to join the team of our global financial services client out of their offices in York on a hybrid basis. If you have an entrepreneurial spirit and thrive in a dynamic environment, this could be the perfect opportunity for you.

Responsibilities:

• Lead the development and implementation of innovative strategies to drive business growth
• Identify new business opportunities and cultivate relationships with potential partners and clients
• Collaborate with cross-functional teams to execute projects and initiatives
• Analyse market trends and consumer behaviour to inform decision-making
• Stay updated on industry developments and incorporate best practices into our business processes
• Conduct market research and competitive analysis
• Develop and execute marketing campaigns
• Provide leadership and mentoring to team members
• Utilize data analytics to drive business decisions

Key skills & qualifications:

• Strong python programming skills
• Good knowledge of software engineering best practice
• Experience with TDD (pytest or equivalent)
• Experience with cloud native deployments (currently in Databricks and Azure)
• Experience with Databricks
• Experience with managed endpoints, AKS or equivalent
• Experience with VCS
• Experience with CI/CD
• Proven track record of driving business growth and achieving targets
• Strong communication and negotiation skills
• Ability to think creatively and strategically
• Experience in project management and cross-functional collaboration
• Knowledge of market research and analysis techniques
• Proficiency in data analytics and business intelligence tools
• Familiarity with digital marketing and social media strategies
• Experience in strategic planning and execution
• Strong leadership and team management skills

If you are ready to take on a new challenge and make a significant impact, we would love to hear from you!