Machine Learning Engineer

Job Description 

Location: London (Paddington) + travel to partner locations in Oxford and Cambridge areas(Hybrid – 3 days/week in-office). 

Reports to: Chief Product Officer (CPO) 

Start Date: July 2025 

Employment Type: Full-time, Permanent 

About Marley Health 

Marley Health is redefining proactive pet care through clinically validated biomarkers, wearable technology, and data-powered diagnostics. Spun out of the University of Oxford and the Royal Veterinary College, we’re building a connected ecosystem for pet health that empowers veterinarians, insurers, and pet parents alike. 

The Role - Purpose 

We are looking for an experienced Machine Learning / Data Engineer to join the team - someone who is a collaborative doer and is eager to learn from and work with some of the leading minds in clinical machine learning and veterinary health data. This is a technical, delivery focused role that blends engineering responsibility with practical involvement in the essentials of getting data into product. You will need a good background in engineering practices for machine learning in the signal processing space. You’ll like working in a small team wearing multiple hats and creative problem solving. 

What you’ll do – Key Responsibilities: 

• Ensure that data is consumable by partners and third parties (including partner systems / apps integration. 
• Build and maintain data infrastructure, i.e., cloud-based pipelines using AWS, GCP, or Azure. 
• Build data pipelines and data infrastructure including working with modern ETL tools such as Dataflow, Airflow etc. 
• Help bridge product development team and data science lab. 

What We’re Looking For  

Qualifications and experience 

Must haves: 

• Demonstrated (4-6 years minimum) industry experience. 
• Applied understanding of Machine Learning and Signal Processing working with time series analysis, data from sensors including irregular sample handling, filtering techniques, feature extraction from raw signals (e.g., accelerometery, ECG, temperature). 
• Previous hands on experience of packaging and deploying ML models to production environments or embedded systems. 
• Knowledge of working with embedded systems such as when inferences can be done on device, synchronisation cycles, power constraints, noise filtering etc. 
• Proficiency in Python, including libraries for data processing and machine learning. 
• Bash/Shell scripting for automation. 
• MSc in Computer Science or related field. 

Nice to haves: 

• Familiarity with tools like Kafka, Apache Beam, or Spark (even at basic level) is a bonus. 
• Experience with Biomedical Data, such as working with biomedical sensors and a familiarity with clinical research practices. 
• Regulated industry experience (e.g., healthtech, medical devices) is a bonus, but not required. 

What you’ll bring 

• A self-starter who is self-motivated, proactive, and thrives in an early-stage environment. 
• Not afraid to roll up your sleeves – you enjoy working directly with the tech and solving real-world problems for real users. 
• Ability to think strategically while straightening out the details. 
• Motivated by impact and excited to help build a truly novel product from the ground up. 

Why Join Us 

• Build a product that sets a new clinical standard in pet health. 
• Work alongside a mission driven, no ego team focused on execution and excellence. 
• Make meaningful contributions every day – your work will directly shape our core product. 
• Join a fast-moving company backed by top-tier investors and world class scientific expertise. 
• Competitive salary + office space in London + 25 days holiday + company laptop & supporting tech + hybrid.