Machine learning Work, Jobs in Forest Town East, Ntt (with Salaries)

Landscape Observatory Officer (Evidence, Policy and Engagement)
Peak District National Park —Bakewell
- £32,597 - £34,434 a year
- Full-time
- Hybrid work
- Analysis skills
- Machine learning
- Communication skills
- Free parking
11d
Condition Monitoring Engineer
ONYX Insight —Nottingham
- Full-time
- Spanish
- Maths
- Bachelor's degree
Quick apply
Researcher in Subsurface Modelling
University of Derby —Kedleston
- £29,588 - £44,746 a year
- Full-time
- Doctoral degree
- English
- Master's degree
- Annual leave
- Employee assistance programme
Data Scientist / Statistician (Model Developer)
Capital One UK —Nottingham
- Full-time
- Hybrid work
- Machine learning
- In-person
- Python
- Work from home
Machine Learning / MLOps Engineer_Nottingham (ML Engineer II)
UST —Nottingham
- Azure
- Master's degree
- SQL
7d
Data Scientist
NewAt9 Digital Ltd. —Sheffield
- £45,000 - £81,000 a year
- Full-time
- Azure
- Computer Science
- SQL
- Free parking
- Work from home
Quick apply
19h
IDAM Onboarding Engineer
DevNull Security —Sheffield
- £55,000 - £65,000 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Bachelor's degree
Quick apply
Lead Data Scientist (Model Developer) / Deep Learning Practitioner
Capital One UK —Nottingham
- Full-time
- Hybrid work
- SQL
- Machine learning
- Mentoring
- Work from home
Data Scientist Intern (PhD level)
Lubrizol —Hazelwood
- Doctoral degree
- Engineering
- Master's degree
- Free parking
- Annual leave
Data Analyst – Modelling & Automation
Exemplar Health Care Services Limited —Sheffield
- Up to £45,000 a year
- Full-time
- SQL
- Machine learning
- No degree
Data Scientist / Statistician (Model Developer)
Capital One —Nottingham
- Full-time
- Hybrid work
- Machine learning
- In-person
- Python
- Work from home
4d
Lecturer - Computer Science
Magna Carta College (MCC) Oxford —Nottingham
- £25 - £40 an hour
- Part-time
- Hospitality
- Doctoral degree
- Computer Science
Quick apply
3h
Postdoctoral Research Associate/Fellow (Fixed-Term)
University of Nottingham —Nottingham
- £32,080 - £40,497 a year
- Full-time
- Hybrid work
- Doctoral degree
- Analysis skills
- Communication skills
- Employee discount
5d
Senior Software Engineer - FTC
Public Library of Science —Nottingham
- £65,000 - £142,000 a year
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
- Annual leave
Agentic Platform Architect / Systems Administrator
BGBx —Sheffield
- £65,000 - £75,000 a year
- Remote
- Azure
- DevOps
- Master's degree
- Annual leave
- Life insurance
Quick apply
AI & Automation Solution Consultant
Experian —Nottingham
- Full-time
- Hybrid work
- AI
- Annual leave
Quick apply
11d
Research Associate in Swarm Robotics
University of Sheffield —Sheffield
- £38,784 - £39,906 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- C++
- Annual leave
- Employee discount
4d
AI/ML Developer - Contract
Delta Capita —Sheffield
- £500 - £550 a day
- Full-time
- Hybrid work
- Azure
- English
- Machine learning
Quick apply
Product Manager – AI Dubbing
RWS Group —Sheffield
- Full-time
- Data analysis skills
- Machine learning
- Software development
Project Engineer
University of Sheffield —Rotherham
- £32,080 - £39,906 a year
- Full-time
- Hybrid work
- Engineering
- C++
- Machine learning
- Annual leave
- Employee discount
13d

I want to receive the latest job alerts for machine learning in forest town east, ntt

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Landscape Observatory Officer (Evidence, Policy and Engagement)

Peak District National Park -
Bakewell

Apply Now

Job details

Full-time | Fixed term contract
£32,597 - £34,434 a year
11 days ago

Benefits

Free parking
Company pension
Paid volunteer time

Qualifications

Analysis skills
Machine learning
Communication skills

Full job description

Job Ref

LOO0726 (73)

Location

Aldern House, Bakewell

Function

Strategy Team

Salary

£32,597 to £34,434 pro rata per annum

Status

Full Time

Type

Fixed Term Contract

Hours

37 hours per week

Expiry Date

14/07/2026

More details

The Role
We are looking for an Evidence, Policy & Engagement Officer to support the development and delivery of Landscape Observatory. Landscape Observatory provides a platform for advancing the latest critical thinking in conservation management by creating high-resolution AI mapping, monitoring habitats, land use, and cultural heritage features and using this evidence to manage the impacts of climate change through Adaptive Management plan practices. In this role, you will contribute to the delivery of the three main workstreams; mapping, monitoring and climate-smart management of protected landscapes. Working closely with colleagues and external partners, you will undertake research and policy reviews, develop reports, guidance and communications, coordinate stakeholder engagement activities, and help translate complex evidence into practical information that informs decision-making. You will play an important role in maintaining partnerships, supporting knowledge exchange and ensuring the Landscape Observatory's work is accessible, relevant and impactful for a wide range of audiences.

About You
We are seeking someone who is enthusiastic, collaborative and motivated to support evidence-based decision-making for protected landscapes. You will bring experience of researching, analysing and communicating complex environmental information to a range of audiences, with the ability to translate evidence into clear, practical guidance and engaging content. You will have excellent written and verbal communication skills, strong analytical and organisational abilities, and experience of building effective relationships with partners and stakeholders. You will be confident working collaboratively across projects, supporting knowledge exchange and contributing to the development of evidence, policy and engagement activities that help shape climate-smart landscape management.

About Us
Landscape Observatory is a bold new project from the Protected Landscapes Partnership which will unite AI mapping, habitat condition monitoring and adaptive management to conserve and protect our landscapes from the impacts of climate change. We are building an Earth observation tool that prioritises both scale and precision. By combining high-resolution aerial imagery and machine learning, the project will produce detailed, standardised land cover maps for all Protected Landscapes in England, which together account for 25% of the country’s land area. These maps will provide Protected Landscapes with a powerful new evidence base to make informed, timely decisions about habitat restoration, species recovery, and climate resilience. It aims to tackle the most pressing challenges facing the UK’s protected landscapes and will serve as a collaborative hub, connecting ideas, scaling innovation; supporting every National Park, National Landscape and National Trail.

Further Information
If you have any questions about the role, please contact [email protected]. No agencies at this time please.
The start date will be no later then the 1st September due to the funding for the project. Provisional interview dates of Tues 21st or Wed 22nd July.

This is a Fixed Term contract for 1 year

Benefits
We offer a range of staff benefits including flexi-time, a high-quality defined benefit pension scheme, 26-31 days holiday (plus bank holidays) with the option to purchase more, volunteering leave and free parking at most of our offices. Please check out our Total Reward Brochure to see what else we offer.

Flexible Working
This is a full time role with flexible working options including flexible on work pattern and hybrid home/office working etc. If you would like to discuss this, please contact me on the details above or contact [email protected]

Our Values

Care – We care for the Peak District National Park, the people we work with and all those we serve. It’s at the heart of everything we do.
Enjoy – We take pride in what we do and feel good about our contribution.
Pioneer – We were born of pioneers. We will continue to explore opportunities to inspire future generations.

Equality, Diversity and Inclusion
The Peak District National Park Authority is committed to equal opportunities. We aspire to have a diverse and inclusive workplace and strongly encourage applicants from a wide range of backgrounds to apply and join us.

We are a “Disability Confident” employer and have committed to offering an interview to a proportionate number of applicants who declare a disability, if they meet the minimum criteria for the job. Please select 'Yes' if you wish to be considered under this basis.

If you are unable to apply on line and require a word version of the application form please contact [email protected]

You must have the right to work in the UK, we are unfortunately unable to offer sponsorship visas. Evidence for the right to work in the UK will be requested before appointment.

Apply Now

Refine Your Search

machine learning jobs in forest town east, ntt

Landscape Observatory Officer (Evidence, Policy and Engagement)

Condition Monitoring Engineer

Researcher in Subsurface Modelling

Data Scientist / Statistician (Model Developer)

Machine Learning / MLOps Engineer_Nottingham (ML Engineer II)

Data Scientist

IDAM Onboarding Engineer

Lead Data Scientist (Model Developer) / Deep Learning Practitioner

Data Scientist Intern (PhD level)

Data Analyst – Modelling & Automation

Data Scientist / Statistician (Model Developer)

Lecturer - Computer Science

Postdoctoral Research Associate/Fellow (Fixed-Term)

Senior Software Engineer - FTC

Agentic Platform Architect / Systems Administrator

AI & Automation Solution Consultant

Research Associate in Swarm Robotics

AI/ML Developer - Contract

Product Manager – AI Dubbing

Project Engineer

I want to receive the latest job alerts for machine learning in forest town east, ntt

Related Searches

Explore jobs in more locations

More details

Jobseeker tools

Employer Tools

Browse

Stay Connected