Machine Learning Engineer

The Royal Marsden NHS Foundation Trust; Greater London; On-site; GBP 50,000 - 80,000; Full time

Job summary

An established industry player is seeking a skilled professional to lead the development of MLOps services that enhance patient treatment through advanced algorithms. This role involves creating a specialist training program for staff, managing a dedicated team, and utilizing machine learning methodologies to analyze radiological images and data. The ideal candidate will possess a strong background in machine learning and programming, with a passion for improving healthcare outcomes. Join a forward-thinking organization committed to diversity and inclusion, where your expertise will contribute to groundbreaking advancements in patient care.

Benefits

Flu Vaccination Provided

Diversity and Inclusion Initiatives

Workplace Wellbeing Programs

Qualifications

• Strong analytical and problem-solving skills for data analysis.
• Experience with machine learning for image analysis and algorithm development.

Responsibilities

• Lead and manage a team to deliver MLOps services.
• Develop machine learning algorithms for tumor detection and treatment response.

Skills

Machine Learning

Deep Learning

Python Programming

Data Analysis

Analytical Skills

Report Writing

Education

Good Honours Degree in a Relevant Field

PhD or Equivalent Doctoral-Level Qualification

Tools

Git

DVC

R

Julia

C++

Java

Job description

Detailed job description and main responsibilities

For further information on this role, please see the attached detailed Job Description and Person Specification:

• Use MLOps to evaluate algorithms that can be used prognostically or predictively for steering patient treatment and detecting response to treatment.
• To lead, create, evolve and be responsible for a specialist training programme covering all aspects of the MLOps platform. This training will be mandatory for scientists, clinicians and supporting staff members to interact with the MLOps platform.
• Develop algorithms, using machine and deep learning methodology, that may be used with a combination of radiological images and other data for tumour detection, segmentation, characterisation, response to treatment and prognostication.
• Build and line manage a team to deliver MLOps services both internally and externally, providing daily supervision and co-ordination of these staff members. This includes workforce planning and staff recruitment to grow a modern engineering and data scientist team.

Person specification

Education/Qualifications

Essential criteria

• Good honours degree or equivalent in a mathematical, engineering, scientific or computing discipline
• A PhD or equivalent doctoral-level qualification in a relevant field.

Experience

Essential criteria

• The application of machine learning and/or deep learning for image analysis.
• Scientific programming in Python.
• Competence in another scripting language (R, Julia, shell scripting, etc) or an object-oriented language (C++, Java, etc).
• Experience presenting complex information so that it is understandable to colleagues and a wider audience.
• Experience preparing work for publication in academic journals.
• Knowledge and/or prior experience with git for software version control and dvc for tracking ML experiments

Desirable criteria

• Experience with survival or time-to-event analysis
• Experience with AI software development, regulatory requirements and understanding routes to commercialization.

Skills Abilities/knowledge

Essential criteria

• Strong analytical and problem-solving skills, including the ability to select an appropriate methodology when analysing data.
• Excellent data analysis skills
• Report writing and written presentation skills.
• Knowledge of MRI and/or other medical imaging techniques.

Desirable criteria

• Knowledge of basic elements of cancer biology

The Royal Marsden values diversity and is committed to the recruitment and retention of underrepresented minority groups. We particularly welcome applications from Black, Asian and minority ethnic candidates, LGBTQ+ candidates and candidates with disabilities.

As a Disability Confident Employer, we are working to create a workplace that enables all staff to reach their full potential. We are committed to this because we know that greater diversity and inclusion will lead to an even greater positive impact for the people we serve.

Due to the high volumes of applications we receive, we reserve the right to close any adverts before the published closing date once we have received a sufficient number of applications. We advise you to submit your application as early as possible to prevent disappointment.

All applicants will be contacted by email to the address supplied on your application. Applicants are advised to check their email accounts regularly and to ensure that email filters are set to allow our emails.

Flu Vaccination - What We Expect of our Staff

At The Royal Marsden we have an immune compromised patient population who we must protect as much as we can against the flu virus. Each year, seasonal flu affects thousands of people in the UK. Occurring mainly in winter, it is an infectious respiratory disease capable of producing symptoms ranging from those similar to a common cold, through to very severe or even fatal disease.

The wellbeing of our staff and patients is of the upmost importance to us, and it is the expectation of The Royal Marsden that all patient-facing staff have an annual flu vaccination, provided free of charge by the Trust.

Employer certification / accreditation badges

Documents to download

• Job Description and Person Specification (PDF, 742.9KB)
• Job Features Form (PDF, 144.6KB)
• Royal Marsden Trust Values (PDF, 715.5KB)
• Workplace Wellbeing and Rewards Guide (PDF, 1.2MB)