Machine Learning Research Engineer

SS&C Technologies; United Kingdom; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading financial services technology company is seeking a talented Machine Learning Research Engineer to join their innovative R&D team. The role involves researching and implementing cutting-edge machine learning algorithms to enhance automation solutions. Candidates should have a PhD or Master's in a relevant field and at least 3 years of experience in machine learning research. Proficiency in Python and ML libraries is essential. This position offers the opportunity to work in a collaborative and fast-paced environment.

Qualifications

• Experience (3+ years) in a machine learning research or engineering role.
• Proficient in ML libraries and programming languages, especially Python.
• Solid understanding of machine learning fundamentals and MLOps practices.

Responsibilities

• Research novel machine learning algorithms and deep learning architectures.
• Design and implement robust machine learning models and pipelines.
• Collaborate with teams to translate research into production-ready features.

Skills

Machine Learning

Deep Learning

Python

Statistical Modeling

Analytical Thinking

Education

PhD or Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Azure

AWS

GCP

Job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Machine Learning Research Engineer

Company: Blue Prism Limited

Job Summary

Blue Prism is seeking a talented Machine Learning Research Engineer to join our innovative R&D team. In this role, you will be instrumental in researching, designing, and implementing cutting‑edge machine learning algorithms and models to enhance our intelligent automation platform, driving the future of enterprise‑grade AI.

Job Responsibilities

• Conduct research into novel machine learning algorithms, deep learning architectures, and statistical models relevant to intelligent automation, natural language processing, computer vision, and predictive analytics.
• Design, develop, and implement robust and scalable machine learning models and pipelines, from data ingestion and feature engineering to model training, evaluation, and deployment.
• Collaborate with product managers and other engineering teams to translate research findings into production‑ready features and components for Blue Prism's platform.
• Evaluate the performance of machine learning models, analyze results, and iteratively refine models for improved accuracy, efficiency, and real‑world applicability.
• Stay abreast of the latest advancements in machine learning research and industry best practices, actively contributing to the company's knowledge base and innovation strategy.
• Participate in code reviews, contribute to technical documentation, and mentor junior engineers on machine learning principles and techniques.
• Experiment with and develop solutions for challenging problems in areas such as anomaly detection, process mining, intelligent document processing, and human‑in‑the‑loop AI.

Job Qualifications

• PhD or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a closely related quantitative field.
• Proven experience (3+ years) in a machine learning research or engineering role, with a strong portfolio of projects demonstrating practical application of ML techniques.
• Expertise in programming languages such as Python, with proficiency in relevant ML libraries (e.g., TensorFlow, PyTorch, scikit‑learn, Pandas, NumPy).
• Solid understanding of machine learning fundamentals, including supervised/unsupervised learning, reinforcement learning, deep learning, and statistical modeling.
• Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices for deploying and managing ML models in production.
• Familiarity with data processing and big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong problem‑solving skills, analytical thinking, and the ability to conduct independent research.
• Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences.
• Ability to work effectively in a collaborative, fast‑paced, and agile environment.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.