ML Engineer – Fintech

We are a London-born diverse group of techies, entrepreneurs, and business specialists with years of experience in developing innovative digital products for our clients, from startups to corporates. With prominent clients such as GSK, Emirates Development Bank, European Commission, Tide Bank, and a variety of start-ups and scale-ups and partners such as UCL, NHS, and Accenture, we find pride in our unique approach to solving our clients’ problems with technology.

At Skillwork, we firmly believe that genuine innovation thrives in a culture that is brimming with happy and talented individuals, and where clients engage not with a contractor, but with a true partner that they can talk to and rely on.

The role:

Join our team as a Machine Learning Engineer and make a meaningful impact while working in a supportive and collaborative environment. You will be part of our FinTech Client’s Data Centre for Excellence, working with data scientists, engineers and analysts. This role is ideal for someone who creates value through innovation and teamwork.

You will be working closely with our cross-functional teams, and business leaders, to drive strategic decision-making across multiple regions, including the UK, Europe, Australia, and New Zealand. We believe in empowering you to grow your skills, and you will have the opportunity to leverage your machine-learning expertise to solve key business challenges. We promote a healthy work-life balance and offer a culture where your contributions are recognised.

Responsibilities:

● Work along cross-functional teams including data scientists, data engineers and data analysts and develop solutions that have an impact on the bottom line.

● Be involved in the end-to-end development of AI & ML models for real-time and batch-based products, as well as maintaining customer-facing services (APIs) in AWS cloud-based environments.

● Drive and advocate adoption of best practices in cloud-native MLOps (monitoring + alerting).

● Monitor and support data pipelines and automation processes that enhance efficiency, accuracy and quality in data collection and data preparation

● Production and Support already in-production ML models.

● Document analytical processes, methodologies, and findings to ensure clarity, reproducibility, and knowledge sharing across teams.

Requirements:

● 3+ years of experience in a similar role.

● Proficient 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 findings 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 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).

● Ideally working knowledge of PyTorch and training deep ML models from scratch.

● Exposure to financial services and challenges with pricing and credit decision-making.

Benefits:

● 25 days of annual paid leave

● Additional health insurance via UNIQA

● MultiSport card

● Employee Referral Program

● Opportunities for professional growth and career development

● Dynamic and collaborative work environment

● Flexible work schedule and fully remote work

About Skillwork:

Skillwork is a UK founded software studio, bringing together a diverse group of techies, entrepreneurs, and business specialists with years of experience in delivering innovation to clients, from startups to corporates. With prominent clients such as GSK, Haleon, HSBC, and a number of startups and scale-ups some of which have had successful exits, we pride ourselves with our unique approach when it comes to building solutions.

At Skillwork, we firmly believe that genuine innovation thrives in a culture that fosters happiness and is brimming with talented individuals. Our team is composed of a diverse group of tech enthusiasts, entrepreneurs, and business specialists who collectively possess extensive experience in delivering groundbreaking solutions to clients ranging from startups to corporate enterprises.

As a technology company, we prioritise pragmatism and functionality over unnecessary complexity. We firmly believe in comprehending the challenges at hand, conducting thorough testing and learning processes, and ultimately constructing tailored solutions that maximise opportunities and value.

Over time, we have honed and perfected this approach, empowering our customers to transform their ideas into tangible products.

Our Mission

It is our mission to empower digital evolution and drive innovation, by bringing the right people together and creating a culture of business orientated techies.