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Post-processing Machine Learning

4 months ago


South West, United Kingdom Met Office Full time

**Details**:
**Reference number**:

- 258630**Salary**:

- £20,248**Job grade**:

- Administrative Assistant**Contract type**:

- Temporary**Length of employment**:

- 12 months**Type of role**:

- Science**Working pattern**:

- Flexible working, Full-time**Number of jobs available**:

- 1Contents

Location

About the job

**Benefits**:
Things you need to know

Location
- South West EnglandAbout the job

**Job summary**:
**What we are offering**

The Met Office is delighted to open our advertising for a number of progressive Industrial Placements, which will commence from July 2023 until July 2024.

We are looking for an exceptional Industrial Placement to make a difference to our planet.

Our Industrial Placement will work in a hybrid pattern with one day a week at our Exeter HQ. Please note that any travel costs to the primary workplace location will be borne by the placement, with a salary of £20,048 in line with planned increase to National Living Wage from April 2023, plus amazing benefits.

**Why should I choose the Met Office?**
- Flexible hours and hybrid working
- Annual Leave of 27.5 days (plus Bank Holidays) and an option to buy or sell up to 5 days per year of annual leave
- Access to discounted shopping on a range of retail, leisure and lifestyle categories

**Who we are**:
Right across the world, every single day, people make decisions based on the weather. We have a strong purpose and provide critical weather services and world-leading climate science, helping people make better decisions to stay safe and thrive.

Our exceptional people deliver scientific, technological and operational expertise, working together to deliver extraordinary impact, making us one of the most trusted forecasters in the world.

Our Industrial Placement programme offers ambitious and capable undergraduates the opportunity to gain valuable experience working alongside diverse and highly skilled experts in their field. You’ll be working on projects that really matter and will make a difference. Whilst the placement is a temporary position until July 2024, there is potential for it to develop into an opportunity to join our Graduate programme after you finish your studies.

Together:

- ** We’re a force for good** - focusing on our environmental and social impact
- ** We’re experts by nature** - always learning and developing to do things better
- ** We live and breathe it** - putting our purpose at the heart of decision-making
- ** We’re better together** - understanding partnerships and inclusivity make us greater
- ** We keep evolving** - pushing boundaries to make tomorrow better for our customers

**Job description**:
**Job Purpose**:
This is an exciting opportunity to join the Met Office on a 12-month Year In Industry placement, developing your skills and knowledge and ensuring you gain the most value possible from your experience with us. You will have the opportunity to network with our cohort of Industrial Placement all over the Met Office and understand what career opportunities we can offer you after you graduate.

IMPROVER is a world class brand new post-processing system that introduces dramatically richer data and forecast accuracy improvements to Met Office downstream systems for public use. The next challenge for IMPROVER and the Met Office is to take advantage of the new era of data science and machine learning to research and implement advances in IMPROVER forecast quality to serve the public.

The placement will assist in setting up machine learning and data science infrastructure for IMPROVER, collaborating with future cloud projects (Prism), Microsoft, and the Met Office Informatics Lab to make use of newer technology where appropriate and to drive future requirements for Science platforms. As part of this they will do their own data science and exploration guided by IMPROVER scientists.

As our Post-Processing Machine Learning - Industrial Placement 2023, the key duties are:

- With experienced staff, investigate options for machine learning software infrastructure for the IMPROVER system
- Dedicate some time to your own professional development within software engineering and data science
- Take on small projects, including within data science and machine learning, to enhance operational weather forecast systems

**Person specification**:
**Essential Qualifications, Skills & Abilities**:

- Studying for an undergraduate degree with a significant numeracy, science (mathematics or a physical science) and/or IT element such as Computer Science or Data Science (We're experts by nature)
- Experience of Python in a data science or data analysis environment (We're experts by nature)
- A keen interest in data science and how it can help the Met Office (We're a force for good)
- Effective communication skills across a variety of methods (spoken, written, 1 on 1, etc) (We're better together)
- Evidence of working and collaborating well as a member of a team, using own initiative when required (We