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- Tasks: Develop and implement advanced machine learning models for innovative technologies.
- Company: Dynamic tech company in Oxfordshire, leading in advanced computing.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team at the forefront of machine learning and make a real impact.
- Qualifications: BSc/MSc in relevant fields and 2+ years of ML experience required.
- Other info: Collaborative environment with opportunities to contribute to scientific research.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Machine Learning Engineer / MLOps Engineer employer: ARCA Resourcing Ltd
Contact Detail:
ARCA Resourcing Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer / MLOps Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning field on LinkedIn or at local meetups. Engaging with others can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python and MLOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to tackle complex scientific challenges using machine learning. Your next big opportunity could be just a click away!
We think you need these skills to ace Machine Learning Engineer / MLOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, ML tools, and any relevant projects that showcase your skills in developing and deploying machine learning models.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with our innovative projects. Don’t forget to mention any collaborative experiences you've had!
Showcase Your Projects: If you’ve worked on any cool projects related to signal processing or sensor fusion, make sure to include them in your application. We love seeing practical examples of your work and how you’ve tackled complex challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ARCA Resourcing Ltd
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with Python, PyTorch, and any other frameworks mentioned in the job description. Prepare to explain how you've applied these skills in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled complex problems using machine learning. Whether it's noise suppression or anomaly detection, be prepared to walk through your thought process and the impact of your solutions. This will demonstrate your analytical abilities and practical experience.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining your projects in simple terms. Use analogies if needed! This shows that you can bridge the gap between complex technical details and broader concepts, which is crucial for collaboration.
✨Stay Current with Trends
Familiarise yourself with the latest developments in machine learning and sensor fusion. Mention any recent papers or technologies that excite you during the interview. This not only shows your passion for the field but also your commitment to continuous learning.