Senior Machine Learning Engineer (Remote)

Our client is a UK-founded software studio, that brings together a diverse group of entrepreneurs, techies, and business specialists with years of experience in delivering innovation to their clients. Now they are looking to hire a Senior Machine Learning Engineer to join their team set for a fantastic S&P 500 listed fintech company, headquartered in London. This is a great opportunity to work on cutting-edge projects within the FinTech sector, contributing to a Data Centre for Excellence. You will collaborate with cross-functional teams of data scientists, engineers, and analysts to address complex business challenges and drive impactful solutions across multiple regions, including the UK, Europe, Australia, and New Zealand. This role is ideal for someone who creates value through innovation and teamwork in a company that promotes a healthy work-life balance and offer a culture where your contributions are recognized.

Senior Machine Learning Engineer

Responsibilities:

• Collaborate with cross-functional teams including data scientists, data engineers and data analysts, as well as manage expectations of business stakeholders and work to understand business requirements and develop solutions that have an impact on the bottom line.
• Own the end-to-end development of AI & ML models for real-time and batch-based products, as well as running customer-facing services (APIs) in AWS cloud-based environments.
• Drive and advocate adoption of best practices in cloud-native MLOps (monitoring + alerting). 
• Create and be responsible for data pipelines and automation processes that enhance efficiency, accuracy and quality in data collection and data preparation.
• Mentor junior ML engineers to support their growth and encourage upskilling.
• Document analytical processes, methodologies, and findings to ensure clarity, reproducibility, and knowledge sharing across teams.

Requirements: 

• A Master degree in STEM (Computer Science, ML/AI, Physics, Engineering), along with 5+ years of experience delivering measurable value through data in a commercial setting.
• PhD degree in STEM is an advantage.
• Expert in Python 3.12+ and latest versions of frameworks, including Scikit-learn, Numpy and Pandas with practical Data Science experience of Spark SQL and Jupyter notebooks.
• Experience with MLOps pipelines on AWS and building, training, testing, and deploying ML models at scale on cloud-native infrastructure.
• Experience with CI/CD tooling and AWS products like EC2, S3, CloudWatch and AWS CDK.
• Experience with monitoring and alerting solutions such as NewRelic, Datadog or PagerDuty.
• Strong software testing approach to ensure high test coverage for financial use cases.
• Strong understanding of the structure and suitability of different ML models and approaches for training trade-offs with experience in testing and accuracy for business performance.
• Well-versed in version control, with practical experience of Git+Gitflow on Github or Gitlab.
• Excellent communications skills, able to translate technical finding into business insights.
• Comfortable managing priorities in a fast-paced and dynamic work environment.
• A self-starter, detail-oriented who thrives on integrity, initiative, team-playing and results.
• Desire to stay up-to-date and experiment with the latest Gen AI research.

Preferred Qualifications (Nice-to-Have):

• Experience in engineering leadership across multiple product roadmaps.
• Experience containerising ML models for AWS EKS Kubernetes and serverless serving.
• Experience with LangChain framework and prompt engineering on LLMs via LLMOps.
• Experience with Terraform and building resilient cloud infrastructure as code (IaC).
• Exposure to financial services and challenges with pricing and credit decision-making.

What you’ll get:

• Competitive salary and benefits package.
• Opportunities for professional growth and career development.
• Dynamic and collaborative work environment.
• Flexible work schedule and fully remote work.
• 25 days of annual paid leave.
• Additional health insurance via UNIQA.
• MultiSport card.

This position is for a company that fosters innovation and values collaboration. This resonates deeply with talaint’s core mission, and we believe it could be a compelling step forward for your career. In case you are interested in the position, please send your CV in English and we would be happy to discuss it further.

Please note that only shortlisted candidates will be contacted by our consultants. 

Applying for this position, you are authorizing talaint to work and process your personal information following the Law for Personal Data Protection.

Agency license Number 2123 was issued on 04.10.2016.