Machine Learning Engineer / MLOps Engineer

Oxford

1 day ago

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Machine Learning Engineer (MLOps)
Location: Oxfordshire, UK
Permanent
HYBRID 3 days per week onsite
ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges.
As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation.
Key Responsibilities

Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation
Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration
Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets
Train, validate, and optimise machine learning models using modern Python-based frameworks
Integrate ML inference into real-time or near-real-time control environments
Stay up to date with the latest developments in machine learning and sensor fusion techniques
Interpret and communicate cutting-edge research in both theory and experiment with internal teams
Contribute to the wider scientific community through publications, conferences, or technical collaboration
Support and mentor colleagues, contributing to a collaborative research and engineering environment
Essential Skills & Experience
BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline
2+ years of industry experience developing and deploying machine learning models
Strong programming skills in Python for machine learning and scientific computing
Experience developing, training, and optimising machine learning models
Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn
Experience working with large datasets and high-performance computing (HPC) environments
Strong analytical and problem-solving skills in complex technical environments
Ability to communicate effectively with both technical and non-technical stakeholders
Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment
Ability to learn complex topics quickly and translate research into practical solutions
Desirable Skills & Experience
PhD in Computer Science, Mathematics, Statistics, Physics, or a related field
Experience deploying machine learning models to edge or embedded compute hardware
Experience with MLOps workflows, including continuous training, testing, and deployment pipelines
Experience with real-time systems, sensor data processing, or advanced signal processing
Exposure to quantum technologies, quantum information science, or quantum machine learning
This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies.
ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems.
Please apply via the link for immediate consideration

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