Job summary
An excellent opportunity has presented itself at GOSH Data Research, Innovation and Virtual Environments (DRIVE) for a Machine Learning Engineer position. GOSH is at the forefront of using new and innovative technologies in the clinical treatment of patients and a Research and Innovation Platform is seen as essential to support the Trust's role nationally and internationally as a Biomedical Research Centre. The Trust has implemented and deployed the Aridhia Research and Innovation Platform (research platform) to provide a rich source of data for audit, research and operations and allow us to keep pace with our peers regarding recruitment to clinical trials. The research platform forms the core of the Trust's Digital Research Environment (DRE), which alongside other systems and technical infrastructure will enable GOSH to capitalise on developments such as artificial intelligence and advanced clinical decision support, underpinning research studies and improving Trust operational processes for many years to come.
Main duties of the job
The Machine Learning Engineer will join the team to assist in the development of NLP and ML capabilities. The overall aim of this role is to be a critical link in getting innovative data-based tools and technologies, that have the potential to improve the lives and outcomes of GOSH patients, into the hands of our clinical teams. We are seeking a team player with a flexible approach to work who wishes to join us at this truly exciting time as we embark on the next phase of GOSH's ambitious digital transformation programme.
The successful candidate will work closely with data science, NLP and data engineering teams and develop solutions by adopting some of the best practices of software development lifecycle, Reproducible Analytics Pipelines (RAP). The projects will involve a range of technical and usability challenges including imaging data.
We are therefore seeking for a candidate who is keen to work on contributing towards continual development of NLP and ML related workstreams and has excellent technical skills to develop computer vision and machine learning tools but also interested in working with clinical teams to understand how the tools can be created to fit within their existing workflows and provide information to them in an engaging way.
This is a fantastic opportunity to join our friendly and welcoming team with its great diversity of skills and experience, we look forward to receiving your application.
About us
GOSH is committed to recruiting the best person for the job, based solely on their ability and individual merit as measured against the criteria for the role; through a process that is fair, open, consistent and free from bias and discrimination.
We are committed to being a diverse and inclusive employer and foster a culture where all staff are valued, respected and acknowledged. All applicants will receive consideration for employment without regard to race, colour, national origin, religion, sexual orientation, gender, gender identity, age, disability status or length of time spent unemployed.
We particularly welcome applications from BAME communities, people with disabilities and/or long-term health conditions and LGBT+ community members.
We have policies and procedures in place to ensure that all applicants and employees are treated fairly and consistently. We are proud to be accredited as a Disability Confident Employer, a member of Business Disability Forum and a Stonewall Diversity Champion.
We have active and Executive supported BAME, LGBT+ and Allies, Disability and Long-Term Health Conditions and Women's staff networks. Staff networks are employee-led groups formed around interests, issues and a common bond or background. Staff network members create a positive and inclusive work environment at Great Ormond Street Hospital by actively contributing to the Trust's mission, values and efforts specific to inclusion. All of our staff networks are open to any employee.
Job description
Job responsibilities
The full job description provides an overview of the key tasks and responsibilities of the role, and the person specification outlines the qualifications, skills, experience and knowledge required. For both documents please view the attachment/s below.
Job description
Job responsibilities
The full job description provides an overview of the key tasks and responsibilities of the role, and the person specification outlines the qualifications, skills, experience and knowledge required. For both documents please view the attachment/s below.
Person Specification
GOSH Culture and Values
Essential
Academic/Professional qualification/Training
Essential
- Educated to degree level in a computer science, mathematical, science-based or relevant subject
- Postgraduate Research/Analytics qualification or equivalent relevant experience
- Maths and English GCSE grade C or above or equivalent qualification
- IT qualification in MS Office or equivalent experience
Desirable
- PRINCE2 Foundation level or equivalent qualification or relevant experience
Experience/Knowledge
Essential
- Experience with supporting software engineering infrastructure in a DevOps style (e.g. Ansible) and familiarity with MLOps tools (e.g. MLFlow)
- Experience of software engineering and the software development/deployment life-cycle, including issue tracking, testing, documentation, version control and continuous integration using Gitlab/Github, docker, Linux, poetry, PEP-8, GIT
Desirable
- Excellent knowledge and experience of developing statistical models, machine learning and other advanced data science methods such as deep learning and AI using common data science and visualisation tools, packages (such as huggingface, pytorch or tensorflow, spacy, NLTK and other NLP specific libraries) Python (incl. Anaconda), and specific experience in natural language processing of free-text data and validation
- Knowledge of data models, standards, terminologies/ontologies in healthcare (such as FHIR, OMOP) and FAIR principles
- Prior experience with use of GPUs in machine learning pipelines
- Experience of using data analytics in academic research projects
- Previous experience in the NHS, healthcare or medical research including with Information Governance processes
- Experience with Cloud environments, analytics and data storage options, such as on MS Azure, AWS, and/or GCP or with on-prem servers
Skills/Abilities
Essential
- Excellent organisational and planning skills, including prioritising to achieve deadlines under pressure and with frequent interruptions
- Ability to resolve problems and make decisions based on complex facts using the appropriate analysis, interpretation or comparison of a range of options
- Very good interpersonal, negotiating, and conflict resolution skills
Person Specification
GOSH Culture and Values
Essential
Academic/Professional qualification/Training
Essential
- Educated to degree level in a computer science, mathematical, science-based or relevant subject
- Postgraduate Research/Analytics qualification or equivalent relevant experience
- Maths and English GCSE grade C or above or equivalent qualification
- IT qualification in MS Office or equivalent experience
Desirable
- PRINCE2 Foundation level or equivalent qualification or relevant experience
Experience/Knowledge
Essential
- Experience with supporting software engineering infrastructure in a DevOps style (e.g. Ansible) and familiarity with MLOps tools (e.g. MLFlow)
- Experience of software engineering and the software development/deployment life-cycle, including issue tracking, testing, documentation, version control and continuous integration using Gitlab/Github, docker, Linux, poetry, PEP-8, GIT
Desirable
- Excellent knowledge and experience of developing statistical models, machine learning and other advanced data science methods such as deep learning and AI using common data science and visualisation tools, packages (such as huggingface, pytorch or tensorflow, spacy, NLTK and other NLP specific libraries) Python (incl. Anaconda), and specific experience in natural language processing of free-text data and validation
- Knowledge of data models, standards, terminologies/ontologies in healthcare (such as FHIR, OMOP) and FAIR principles
- Prior experience with use of GPUs in machine learning pipelines
- Experience of using data analytics in academic research projects
- Previous experience in the NHS, healthcare or medical research including with Information Governance processes
- Experience with Cloud environments, analytics and data storage options, such as on MS Azure, AWS, and/or GCP or with on-prem servers
Skills/Abilities
Essential
- Excellent organisational and planning skills, including prioritising to achieve deadlines under pressure and with frequent interruptions
- Ability to resolve problems and make decisions based on complex facts using the appropriate analysis, interpretation or comparison of a range of options
- Very good interpersonal, negotiating, and conflict resolution skills
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
Additional information
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
Employer details
Employer name
Great Ormond Street Hospital for Children NHS Foundation Trust
Address
GOSH DRIVE (Data Research, Innovation and Virtual Environments)
40 Bernard Street
London
WC1N 1LE
Employer's website
https://www.gosh.nhs.uk/ (Opens in a new tab)
