Machine learning Work, Jobs in Much Hoole, Lan (with Salaries)

Junior Data Analyst
Imperial College London —St. Mary's
- £46,614 - £56,345 a year
- Full-time
- Machine learning
- Python
4d
Data Analyst
SolutAI UK Ltd —Accrington
- £36,420 - £39,443 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- SQL
- Flexitime
Quick apply
7d
Senior Research Associate – MARS / IceDice
Lancaster University —Lancaster
- £39,906 - £46,049 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Junior Data Scientist - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- SQL
- AWS
Workday Developer
RSM UK —Preston
- Full-time
- Machine learning
- JavaScript
- Mentoring
Chemistry and AI Modeller
National Nuclear Laboratory —Risley
- From £51,166 a year
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Sick pay
17h
Senior Data Science Manager - FS
The Very Group —Liverpool
- £6,500 a week
- Full-time
- Hybrid work
- SQL
- Machine learning
- Python
- Employee discount
Quick apply
Pricing Data Scientist - Household
The Granite Group —Liverpool
- Full-time
- Hybrid work
- SQL
- Bachelor's degree
- Machine learning
- Flexible schedule
Quick apply
Senior Data Scientist - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Master's degree
- SQL
Cyber Security Engineer
Advania UK —Manchester
- £70,000 - £80,000 a year
- Hybrid work
- Azure
- Customer service
- DevOps
Senior Software Engineer - FTC
Public Library of Science —Liverpool
- £65,000 - £142,000 a year
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
- Annual leave
AI Adoption Consultant
Innovecture —Liverpool
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
Pricing Actuary
The Granite Group —Liverpool
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Python
- Flexible schedule
Quick apply
Fraud & Financial Crime Strategy Manager
Frasers Group Financial Services —Clayton le Moors
- Full-time
- Hybrid work
- Analysis skills
- Financial services
Quick apply
Systems Engineer - Modelling & Simulation (Seeker)
MBDA —Bolton
- £40,000 - £58,000 a year
- Overtime
- Hybrid work
- Data analysis skills
- Machine learning
- No degree
- Free parking
Data Engineer - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Computer Science
- Engineering
Data Platform Engineer - AWS
AO World —Bolton
- Azure
- DevOps
- SQL
- Free parking
- Employee discount
AI Solution Architect
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Computer Science
- Sales
Agentic Platform Architect / Systems Administrator
BGBx —Liverpool
- £65,000 - £75,000 a year
- Remote
- Azure
- DevOps
- Master's degree
- Annual leave
- Life insurance
Quick apply
Principal Technical & Complex Claims Leader
Prima —Manchester
- Leadership
Quick apply

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machine learning jobs near much hoole, lan

Junior Data Analyst

Imperial College London -
St. Mary's

Apply Now

Job details

Full-time
£46,614 - £56,345 a year
4 days ago

Benefits

Season ticket loan
Company pension

Qualifications

R
Tableau
Machine learning
Natural language processing
Data visualisation
Python

Full job description

Job number

MED05902

Faculties

Faculty of Medicine

Departments

Department of Surgery & Cancer

Salary or Salary range

£46,614 - £56,345 per annum

Location/campus

St Mary's Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

29 Jul 2026

About the role

The Junior Data Analyst role is a key part of the Centre for Health Policy, and the Institute of Global Health Innovation (IGHI) at Imperial. The post will involve working with multidisciplinary teams, including academics, policy fellows, clinicians, and patient and public involvement professionals to deliver quantitative analyses for both academic research and policy projects.

What you would be doing

As our Junior Data Analyst, you will develop and deliver quantitative analyses to support IGHI’s Centre for Health Policy projects. You will leverage a mix of statistics, data science, and data visualisation techniques to derive insights from healthcare data across different topics, including behavioural science, patient safety, digital health, and mental health. You will work with a broad range of healthcare datasets from national and global sources, and support both academic and non-academic (e.g. policy) outputs.

What we are looking for

We are looking for a curious and motivated individual with a strong interest in healthcare data and its potential to support real-world impact. This role is ideal for someone who is early in their career who will be able to demonstrate:

Knowledge of data access and analysis processes for sensitive healthcare data in England (e.g. HES, CPRD).
Experience of having used R and Python in a Secure Research Environment (SRE) to support academic and/or policy outputs.
Strong quantitative methodology knowledge, including statistics, machine learning, epidemiology, and natural language processing techniques.
Experience in accessing, cleaning and analysing publicly available data to update tools and data visualisations on a regular basis.
Experience of using data visualisation software (e.g. Tableau, Infogram, Plotly or similar) to communicate analytical findings.

Experience of reproducible analytical pipelines (RAP), use of version control and environment managers and their role in maintaining transparent, auditable, and reproducible analyses.

Strong ability to convey technical information to non-technical audiences, such as patients and the public.

What we can offer you

The opportunity to translate your analytics skills into outputs that will inform decision-making at the highest levels of healthcare leadership and policy development.

The opportunity to work at a world-leading institution and be part of our mission to use science for humanity.
Access to learning and development opportunities.
Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on-site leisure facilities and cycle-to-work scheme.

Benefit from sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).

Interest-free season ticket loan schemes for travel.
Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further information

This is a full-time post (35 hours per week), this role is for a fixed-term contract for 12 months.

If you require any further details about the role, please contact: Sophia Batchelor ([email protected])

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at [email protected]. We're here to help.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages.

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

Apply Now

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machine learning jobs in much hoole, lan

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