Machine learning engineer Work, Jobs in Upper Slaughter, Gls (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
Senior Developer
Commercial —Cheltenham
- £60,000 - £65,000 a year
- Full-time
- Hybrid work
- Continuous improvement
- AI
- SDLC
- Work from home
- Employee assistance programme
Quick apply
Senior Engineer
Ecotricity Group Limited —Stroud
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Free parking
- Work from home
Quick apply
6d
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
Machine Learning Engineer 1
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Computer Science
- Master's degree
- Machine learning
- Annual leave
- Employee assistance programme
Full Stack Developer- Mobile - Remote
eSIM Go —Banbury
- £40,000 - £45,000 a year
- Remote
- English
- AI
- Communication skills
Quick apply
BOLD Fellow
University of Oxford —Oxford
- £65,336 - £84,663 a year
- Research
- University
- AI
- Annual leave
8d
Sensory Insights Manager
Campden BRI —Chipping Campden
- Doctoral degree
- Data analysis skills
- Business development
- Employee discount
EA to the Chief Investment Officer - Cheltenham
Attivo Investments —Cheltenham
- £50,000 - £60,000 a year
- Full-time
- Hybrid work
- Microsoft Office
- Organisational skills
- AI
- Work from home
Quick apply
1d
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 Engineer, AI (SFIA 3)
Zaizi —Cheltenham
- Up to £60,000 a year
- Hybrid work
- Research
- Machine learning
- AI
- Annual leave
- Work from home
Quick apply
Machine Learning Scientist
University of Oxford —Oxford
- £39,424 - £43,984 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Software development
ML Engineer (Research Scientist - Cryosphere)
Arctic Research and Development —Cirencester
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
Full Stack Web Developer - Remote
eSIM Go —Banbury
- £40,000 - £45,000 a year
- Remote
- English
- Agile
- AI
Quick apply
Associate Professorship of Law Politics and Computational Social Science
University of Oxford —Oxford
- £58,265 - £77,645 a year
- AI
- Teaching
SOCIAL MEDIA & CLIENT COORDINATOR
AMW Media Ltd —Banbury
- £13.50 an hour
- Part-time
- Hybrid work
- Social media management
- Organisational skills
- AI
- Annual leave
- Work from home
Quick apply
Media & Marketing Officer
Swindon Town FC Community Foundation —Swindon
- £28,000 - £30,000 a year
- Weekend availability
- Microsoft Powerpoint
- Microsoft Word
- Social media management
Quick apply
10d
Research Assistant in Development Economics
University of Oxford —Oxford
- £35,681 - £38,366 a year
- Hybrid work
- Research
- Master's degree
- University
- Annual leave
5d
Technical Product Manager
Vectric Ltd —Alcester
- £55,000 - £65,000 a year
- Full-time
- Hybrid work
- CRM software
- Master's degree
- AI
Quick apply
Customer Experience Manager
Stewart Golf Ltd —Gloucester
- From £42,000 a year
- Full-time
- Management
- Team management
- In-person
- Free parking
- Life insurance
Quick apply

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machine learning engineer jobs near upper slaughter, gls

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 upper slaughter, gls

Geospatial & Data Analyst

Senior Developer

Senior Engineer

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

Machine Learning Engineer 1

Full Stack Developer- Mobile - Remote

BOLD Fellow

Sensory Insights Manager

EA to the Chief Investment Officer - Cheltenham

Machine Learning Scientist

Machine Learning Engineer, AI (SFIA 3)

Machine Learning Scientist

ML Engineer (Research Scientist - Cryosphere)

Full Stack Web Developer - Remote

Associate Professorship of Law Politics and Computational Social Science

SOCIAL MEDIA & CLIENT COORDINATOR

Media & Marketing Officer

Research Assistant in Development Economics

Technical Product Manager

Customer Experience Manager

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