Machine learning engineer Work, Jobs in Yarnton, Oxf (with Salaries)

Geospatial & Data Analyst
Evenlode Landscape Recovery Limited —Oxford
- £28,000 - £32,000 a year
- Full-time
- Hybrid work
- Travel
- Scripting
- AI
- Annual leave
- Flexitime
Quick apply
Machine Learning Engineer 1
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Computer Science
- Master's degree
- Machine learning
- Annual leave
- Employee assistance programme
BOLD Fellow
University of Oxford —Oxford
- £65,336 - £84,663 a year
- Research
- University
- AI
- Annual leave
6d
Database & Data Systems Officer
Nekton Mission —Kidlington
- £35,000 - £40,000 a year
- Full-time
- Hybrid work
- Computer Science
- Computer literacy
- Master's degree
Quick apply
Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme
Machine Learning Scientist
University of Oxford —Oxford
- £39,424 - £43,984 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Software development
Engineering Science Consultant - Life Sciences (Graduate)
Capgemini —Abingdon
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
Research Assistant on AI Safety
University of Oxford —Oxford
- £35,681 - £39,424 a year
- Research
- Master's degree
- AI
14d
AI Data Adventurer Internship
Global Water Intelligence —Oxford
- £14.50 an hour
- Full-time
- University
- AI
- Internship
Research & Editorial Internship, Water Sustainability
Global Water Intelligence —Oxford
- £14.50 an hour
- Full-time
- English
- Research
- AI
Applied Scientist — AI Studio
Wiley —Oxford
- £53,000.00 - £75,866.66 a year
- Full-time
- Doctoral degree
- Research
- Agile
Senior Research Associate, Bioanalytical & Molecular Assays
Moderna, Inc. —Oxford
- Full-time
- Bachelor's degree
- AI
- Annual leave
Lead Machine Learning Engineer
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme
SEO & AI Search Specialist (AEO/GEO) – Digital Agency
Urban Element —Banbury
- £35,000 - £45,000 a year
- Part-time
- Hybrid work
- Analysis skills
- In-person
- Communication skills
- Flexitime
- Work from home
Quick apply
Associate Professorship of Law Politics and Computational Social Science
University of Oxford —Oxford
- £58,265 - £77,645 a year
- AI
- Teaching
Senior Reinforcement Learning Engineer
Gravis Robotics —Oxford
- Full-time
- Hybrid work
- English
- C++
- Machine learning
12d
Learning Content Studio Lead
Dalcour Maclaren —Bicester
- Training & development
- AI
- Leadership
- Free parking
- Annual leave
Quick apply
Postdoctoral Research Associate in the Mathematical and Computational Foundations of Artificial Intelligence
University of Oxford —Oxford
- £41,636 - £47,779 a year
- Doctoral degree
- Research
- Maths
11d
Data Scientist
Infleqtion —Kidlington
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- Travel
- Annual leave
- Work from home
Quick apply
3d
Full Stack Developer- Mobile - Remote
eSIM Go —Banbury
- £40,000 - £45,000 a year
- Remote
- English
- AI
- Communication skills
Quick apply

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machine learning engineer jobs near yarnton, oxf

Geospatial & Data Analyst

Evenlode Landscape Recovery Limited
Oxford

Quick apply

Job details

Full-time | Part-time upon request
£28,000 - £32,000 a year

Benefits

Annual leave
Flexitime
Company pension
Work from home
Sick pay

Qualifications

ArcGIS
Data integration
QGIS
Relational databases
Scripting
AI
Analytics

Full job description

About us

Evenlode Landscape Recovery (ELR) is delivering one of Defra's ambitious 25-year Landscape Recovery programmes across the North East Cotswolds. Spanning approximately 3,031 hectares and around 50 farm holdings in the Dorn, Glyme and Evenlode river catchments, the programme brings together farmers, landowners and partners to restore rivers and habitats, improve water quality, reduce flood risk and create lasting environmental and economic value.

ELR works hand in hand with the North East Cotswold Farmer Cluster CIC, a farmer-led community interest company committed to nature-friendly farming at a landscape scale. Together we combine ambitious environmental delivery with a genuinely collaborative, farmer-first approach. As we move into an exciting delivery phase, we are building a talented team to help us realise our long-term vision.

The role

The Geospatial & Data Analyst keeps the programme's data working: spatial layers, monitoring results, survey deliverables and the evidence behind them. Working alongside the Data & Systems Lead, you'll help bring data from across the programme into one coherent, reliable picture, supporting delivery on the ground, robust decision-making, and the evidence we need for public funders, investors, lenders and buyers.

Key responsibilitiesGeospatial data management

Process and maintain spatial data across the programme's GIS environment
Manage GeoPackage structure, CRS consistency and layer standards
Produce maps and spatial outputs for reporting, tenders and partner use

Data integration

Receive, check and process deliverables from partners and consultants into a consistent spatial and temporal structure
Manage outbound data as carefully as inbound preparing and issuing datasets to partners, consultants, funders and regulators, tracking licence terms and attribution requirements, and working with the Data & System leads where data-sharing agreements or personal data are involved.
Help build and maintain a versioned evidence base as the programme's core record

Analysis

Support the reconciliation of findings across different measurement streams, flagging where they don't line up
Contribute to the programme-level picture, rolling data up from parcel to farm to scheme
Help build change-over-time series from repeat surveys and monitoring
Support measurement, reporting and verification (MRV) and the tracking of environmental units and outcomes

Assurance and quality

Check consultant deliverables against specification, chasing and escalating issues
Help maintain a clear audit trail across the evidence base
Handle personal and commercially sensitive data in line with the programme's data-protection obligations

Evidence and reporting

Run the day-to-day of the request and evidence tracker
Maintain data room discipline and version control
Support the reporting obligations calendar: board, funder and regulatory checkpoint reporting

Systems and automation

Help maintain non-spatial databases, dashboards and reporting layers
Work towards automating recurring processes
Contribute to written procedures as the function matures

Person specification Essential

Competent in QGIS (or transferable experience in ArcGIS or similar), with a solid grounding in spatial data formats, coordinate systems and version control
Comfortable working with data beyond a pure GIS environment, confident with spreadsheets, databases and general data-handling tools
Applies data best practice as a matter of habit: naming conventions, version control, documentation
Able to organise and present data clearly to non-technical audiences
Comfortable making progress with incomplete information, and confident asking the right questions
Takes ownership of a task end to end, and flags problems early
Open and confident using AI tools
A degree in a numerate, scientific, environmental or related discipline, or equivalent practical experience
UK-based, with the ability to travel occasionally to the project area

Desirable

Some exposure to scripting or automation (Python, GeoPandas, SQL or similar), or a genuine appetite to learn
Familiarity with relational databases such as Airtable
Experience working with ecological, agricultural or environmental datasets
An understanding of monitoring and evaluation approaches
Experience of a small business or start-up environment

Attitude

Wants to build something that lasts, not just clear a queue
Comfortable with a role that mixes real technical depth with necessary routine
Curious by nature, and actively looks for ways to make a process faster, cleaner or less manual
Genuinely interested in the subject matter, ecology, agriculture, natural capital. You don't need a background in it, but you should want to understand the science behind the data you're handling

How we work

We're a small team delivering a scheme at a serious scale, which means the process is still being built as we go. You'll help shape how this function works, and your remit will be wider than your job title suggests
We move quickly and fix things as we learn, rather than waiting for the perfect process before we start
You’ll be trusted with real responsibility early, owning datasets and the analysis built on them
We're a close team. You'll work directly with the people making the decisions
Remote-first, with occasional travel to the project area

What you'll get

Real ownership from the start, in a function that's being built rather than maintained
Direct exposure to the natural capital market and to the investors and partners buying into it
Support to develop technically and room to grow, working closely with the Data & Systems Lead
Flexible working, a workplace pension and a generous annual leave entitlement
The chance to play a meaningful part in a flagship, long-term environmental programme

Pay: £28,000.00-£32,000.00 per year

Benefits:

Company pension
Flexitime
Sick pay
Work from home

Work Location: Hybrid remote in Oxford (Oxfordshire)

Quick apply

Refine Your Search

machine learning engineer jobs in yarnton, oxf

Geospatial & Data Analyst

Machine Learning Engineer 1

BOLD Fellow

Database & Data Systems Officer

Machine Learning Scientist

Machine Learning Scientist

Engineering Science Consultant - Life Sciences (Graduate)

Research Assistant on AI Safety

AI Data Adventurer Internship

Research & Editorial Internship, Water Sustainability

Applied Scientist — AI Studio

Senior Research Associate, Bioanalytical & Molecular Assays

Lead Machine Learning Engineer

SEO & AI Search Specialist (AEO/GEO) – Digital Agency

Associate Professorship of Law Politics and Computational Social Science

Senior Reinforcement Learning Engineer

Learning Content Studio Lead

Postdoctoral Research Associate in the Mathematical and Computational Foundations of Artificial Intelligence

Data Scientist

Full Stack Developer- Mobile - Remote

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