Senior Machine Learning Engineer

Work where work matters.

Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA.

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.



Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.



Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development.



We are looking for a Senior Data Scientist to join our professional services team. 

We look for people who embody:

Innovation to solve the hardest problems.

‍Accountability for every result.

‍Integrity always.

About The Role

The purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations.

This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.

What You’ll Do

• Strong grasp of statistics and probability fundamentals
• Solid understanding of machine learning algorithms for supervised and unsupervised learning
• Understanding of Transformer based models
• Experience developing AI agents
• Strong Python and SQL skills
• Experience with Cloud ML tools and version control (e.g. git)
• Experience with MLOps
• Collaborative, proactive, logical, methodical, and attentive to detail
• Excellent communication skills (verbal and written)
• Collaborate with clients to understand their business problems and design technical solutions using machine learning models
• Develop and deploy machine learning models on Google Cloud
• Use version control and agile working practices
• Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.

Requirements

What Success Looks Like

• Demonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationships
• Provides valuable feedback and acknowledges achievements in a constructive manner
• Utilizes diverse influencing techniques to achieve goals
• Possesses exceptional conflict resolution skills and can effectively negotiate in difficult situations
• Maintains a delicate balance between personal and team objectives
• Displays sensitivity to the needs of others and readily offers assistance when needed
• Capable of independently developing data solutions using appropriate tools and techniques
• Exhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areas
• Adept at evaluating and incorporating new technologies into existing solutions
• Provides expert advice and support to customers in defining effective solutions
• Skillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders.

Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

Compensation and Financial Well-being

• Competitive base salary.
• Discretionary company bonus scheme.
• Employee referral scheme.
• Meal Vouchers.

Health and Wellness

• Health Care Package.
• Life and Health Insurance.

Work-Life Balance and Growth

• Bookster.
• 28 days of annual leave.
• Floating bank holidays.
• An extra paid day off on your birthday.
• Ten paid learning days per year.
• Flexible working hours.
• Sabbatical leave (after 5 years).
• Work from anywhere (up to 3 weeks per year).
• Industry-recognised training and certifications.
• Bonusly: employee recognition and rewards platform.
• Clear opportunities for career development.
• Length of Service Awards.
• Regular company events.

Diversity and Inclusion

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.