Senior Machine Learning Engineer

Role overview

Challenges you'll solve

• Own end-to-end ML system design, including data ingestion, training pipelines, deployment, and real-time monitoring.
• Ensure AI features are performant, observable, and easy to debug.
• Partner with Data Scientists to turn experimental code into high-quality, extensible library modules.
• Build reusable components that improve developer efficiency and reduce cycle times.
• Translate clinical and product objectives into computational tasks and choose deep learning, NLP, or off-the-shelf approaches.
• Make build-versus-buy trade-offs aligned with long-term technical goals.
• Turn one-off experiments into repeatable platform capabilities for adoption by other product teams.
• Resolve cross-team dependencies as new, more efficient AI models are rolled out.

What you should bring

• Extensive experience with ML techniques, such as Transformer-based NLP, deep learning, tree-based methods, and Bayesian modelling.
• A proven record of moving models from Jupyter notebooks to high-availability production environments.
• Experience managing data versioning and model serving.
• Mastery of Python, C#, or Go, with a focus on extensible, modular libraries adopted by other teams.
• Experience defining offline model metrics and online metrics for real-world behaviour and triage outcomes.
• Ability to contribute rigorously to design and code reviews and identify risks such as data leakage or hardware constraints.

Preferred experience

• Experience working with sensitive regulated data, including GDPR or HIPAA, and privacy-first techniques such as differential privacy or secure data handling.
• Familiarity with infrastructure-as-code tools including Terraform or Kubernetes, or MLOps platforms such as SageMaker or Vertex AI.
• Experience fine-tuning LLMs, prompt engineering, or managing large language model latency and cost trade-offs at scale.

Compensation

• Salary range of £115,000 to £135,000 plus share options up to £30,000.

Working arrangement

• Office-first culture with an expectation to work from the Shoreditch office three days per week.
• Core hours are 10am to 4pm.
• Employees may work from anywhere for up to four weeks per year.

Benefits

• Flexible benefits covering healthcare, pension, or life insurance.
• 28 days of holiday plus bank holidays.
• Enhanced parental leave, fertility support, and parental loss support.
• Free healthy breakfasts, snacks, and lunches are provided.

About Accurx