Sr. Machine learning Data Scientist

Role Overview

We are seeking a Data Scientist to who combines strong machine learning fundamentals with the ability to build highquality production-ready software. Youll take ML solutions from problem framing and modelling through to robust implementation deployment and iteration working closely with engineers and stakeholders to deliver measurable outcomes for enterprise and regulated clients. The role suits someone focused on real world delivery and measurable outcomes rather than research in isolation.

Key Responsibilities

• Design build and deploy machine learning solutions that solve real business problems moving from prototype to production. 
• Apply traditional ML (e.g. regression/classification/clustering) and deep learning techniques where appropriate selecting models based on evidence and constraints. 
• Demonstrate strong ML fundamentals including the mathematics behind models (probability statistics optimisation linear algebra) and explain trade-offs clearly.
• Develop and deploy ML and data science solutions from proof of concept to production
• Perform data exploration feature engineering and model development on large datasets
• Track experiments metrics and model versions (e.g. MLflow)
• Collaborate with data engineers and AI engineers to integrate models into platforms
• Continuously improve models based on performance feedback and data drift

Qualifications :

Required Skills & Experience

• 5 years in applied machine learning and deep learning roles
• Strong grounding in core ML concepts and their mathematical basis:
  • Probability & statistics hypothesis testing bias/variance regularisation
  • Optimisation (e.g. gradient-based methods) loss functions evaluation metrics
  • Linear algebra fundamentals used in ML (vectors/matrices decompositions at a practical level) 
• Solid practical experience with traditional ML modelling (feature engineering model selection validation and error analysis). 
• Demonstrable exposure to deep learning (architectures training dynamics evaluation) beyond surface-level familiarity.
• Proven ability to build good quality software not just modelsclean code testing debugging and maintainable design. 
• Strong programming skills (typically Python; additional languages a plus) and experience integrating ML into production systems.  
• A clear problem-solving mindset: structured thought process ability to reason through ambiguous requirements and iterate effectively.
• Hands-on experience delivering ML solutions end-to-end including prototyping validation and production/operations.
•  Experience with Databricks and Spark
• Hands-on use of MLflow or similar model lifecycle and MLOps frameworks
• Experience with deep learning frameworks (e.g. PyTorch)
• Practical experience with GenAI / LLMs
• Exposure to AWS Bedrock & AWS SageMaker
• Strong SQL and data analysis skills

Nice to Have

• Experience in regulated or security conscious environments
  Familiarity with model governance monitoring and managing model performance over time.
  Exposure to production model deployment patterns
  Familiarity with Responsible AI and model governance
  Client facing or consulting experience

Additional Information :

Why Version 1

 At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme where employees collectively benefit from a share of our companys profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working Version 1 is tremendously understanding of life events and peoples individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiatives including; Pension Private Healthcare Cover Life Assurance Financial advice and an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts Bike to Work Fitness classes Mindfulness Workshops Employee Assistance Programme and much more. Generous holiday allowance enhanced maternity/paternity leave marriage/civil partnership leave and special leave policies
• Educational assistance incentivised certifications and accreditations including AWS Microsoft Oracle and Red Hat
• Reward schemes including Version 1s Annual Excellence Awards & Call-Out platform.
• Environment Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity inclusion and belonging schemes.

And many more exciting benefits drop us a note to find out more.

Version 1 is an equal opportunities employer.
 
We are committed to building a diverse inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds identities and lived experiences and we value the different perspectives people bring.
 
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process please contact recruiter email addressEM1  at Version 1. We will consider all requests carefully respectfully and confidentially.

Video links:

add the email address for the lead recruiter

Remote Work :

No

Employment Type :

Full-time