Python Work, Jobs in Esh, Dur (with Salaries)

Senior Python Engineer (ML)
Sage —Newcastle upon Tyne
- Hybrid work
- Azure
- AWS
- APIs
Analytics Consultant
Version 1 —Newcastle upon Tyne
- Full-time
- Hybrid work
- SQL
- AWS
- Communication skills
- Employee assistance programme
- Employee discount
Quick apply
9h
Cloud Platform Engineer
Renaissance Learning EMEA APAC —Houghton le Spring
- Hybrid work
- Azure
- DevOps
- SQL
- Employee assistance programme
- Employee discount
1d
Data Engineer (SC Cleared)
Scrumconnect Consulting —Newcastle upon Tyne
- £400 - £450 a week
- Hybrid work
- Data analysis skills
- SQL
- AWS
Automation QA Engineer
Causeway Technologies —Middlesbrough
- Hybrid work
- Azure
- Management
- Data analysis skills
- Annual leave
- Employee assistance programme
Quick apply
13d
DevOps Engineer
Everflow —Peterlee
- £39,400 - £63,000 a year
- Full-time
- Azure
- Scripting
- Linux
Postdoctoral Research Associate
Durham University —Durham
- £38,784 - £41,064 a year
- Full-time
- Doctoral degree
- Engineering
- University
- Annual leave
- Employee assistance programme
5d
Applications Engineer
iamproperty & iamsold —Newcastle upon Tyne
- Full-time
- Salesforce
- Analysis skills
- Continuous improvement
- Annual leave
Quick apply
AI Engineer
Version 1 —Newcastle upon Tyne
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
- Employee assistance programme
- Employee discount
Quick apply
1d
Test Automation Engineer
Version 1 —Newcastle upon Tyne
- Full-time
- Java
- AWS
- JavaScript
- Employee assistance programme
- Employee discount
Quick apply
Technical Artist d3t - 12 Month Contract
Keywords Studios —Gateshead
- Hybrid work
- C++
- Scripting
- APIs
- Free parking
- Flexible schedule
Quick apply
Automation Test Engineer
Version 1 —Newcastle upon Tyne
- Full-time
- Hybrid work
- Java
- AWS
- APIs
- Employee assistance programme
- Employee discount
Quick apply
Senior Software Engineer - FTC
Public Library of Science —Newcastle upon Tyne
- £65,000 - £142,000 a year
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
- Annual leave
Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne
Oliver Wyman —Newcastle upon Tyne
- Full-time
- Doctoral degree
- English
- Machine learning
Embedded Design Engineer - FPGA Academy
Leonardo UK Ltd —Newcastle upon Tyne
- £37,400 - £71,400 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
- Flexible schedule
- Referral programme
Cloud Platform Engineer
NECSWS —Hartlepool
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Annual leave
Quick apply
Research Assistant / Associate in immunology
Newcastle University —Newcastle upon Tyne
- £33,951 - £46,049 a year
- Full-time
- Doctoral degree
- Master's degree
- University
4d
Commercial Insights Analyst
Sunderland Association Football Club —Sunderland
- Full-time
- SQL
- AWS
- In-person
Quick apply
8d
Commercial Energy Consultant
Business Bots UK LTD —Newcastle upon Tyne
- £28,811 - £47,022 a year
- Full-time
- Data analysis skills
- Presentation skills
- Organisational skills
- Free parking
Quick apply
Senior Technical Artist d3t - 12 Month Contract
Keywords Studios —Gateshead
- Hybrid work
- C++
- Scripting
- APIs
- Free parking
- Flexible schedule
Quick apply

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Senior Python Engineer (ML)

Sage -
Newcastle upon Tyne

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Job details

Qualifications

Azure
Law
Google Cloud Platform
AWS
Docker
REST
APIs
AI
Python

Full job description

Job Description

We are looking for a Senior Python Engineer (with an interest in AI/ML) to take technical ownership of our live services / production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle—from automated training pipelines to real-time inference clusters—and serve as a key software engineering contributor to our AI product stack.

*** Please note: This is a hybrid role requiring 3 days per week in our Newcastle office ***

Key Responsibilities

In this role your key responsibilities will be:

Lifecycle & Pipeline Architecture: Design and own the automated "Continuous Training" (CT) and deployment pipelines. Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible.

Software Engineering Best Practices: Lead the team in adopting professional engineering standards. This includes owning the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable.

ML Observability: Establish and own the telemetry framework for the AI stack. Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy.

FinOps & Cost Management: Own the strategy for AI cloud spend. Build monitoring and alerting frameworks to track compute costs (training and inference) and implement optimization strategies like auto-scaling and spot-instance usage.

AI Systems Engineering: Act as a lead software engineer to integrate models into the product ecosystem. Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption.

Data & Model Governance: Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts. Ensure clear documentation and audit trails for all production deployments.

What we're looking for:

Essential skills:

Demonstrating strong software engineering fundamentals, including production‑quality Python, testing, CI/CD practices, and version control

Designing and operating reliable, versioned REST APIs using an API‑first approach

Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds such as Azure or Google Cloud could be considered also)

Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability

Working effectively with real‑world data and production systems in collaboration with product, data, and platform teams

Bringing either hands‑on ML production experience or a clear interest and motivation to develop in AI/ML

Desirable skills:

Using AWS SageMaker for training, deploying, and operating machine‑learning workloads, or demonstrating equivalent experience on similar cloud ML platforms

Exposing machine‑learning models via APIs (e.g. FastAPI‑based inference services) and operating them reliably at scale

Applying MLOps practices, including model and version management, monitoring, and handling model or data drift

Implementing advanced service patterns such as asynchronous processing, event‑driven architectures, or multi‑version services

Serving LLM or GenAI‑based capabilities in production, including model serving, RAG pipelines, and inference controls

Designing reusable, platform‑level services and shared ML patterns rather than one‑off implementations

Managing cloud operational trade‑offs, including cost efficiency, latency, scalability, and reliability

#LI-MD1

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Refine Your Search

python jobs in esh, dur

Senior Python Engineer (ML)

Analytics Consultant

Cloud Platform Engineer

Data Engineer (SC Cleared)

Automation QA Engineer

DevOps Engineer

Postdoctoral Research Associate

Applications Engineer

AI Engineer

Test Automation Engineer

Technical Artist d3t - 12 Month Contract

Automation Test Engineer

Senior Software Engineer - FTC

Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne

Embedded Design Engineer - FPGA Academy

Cloud Platform Engineer

Research Assistant / Associate in immunology

Commercial Insights Analyst

Commercial Energy Consultant

Senior Technical Artist d3t - 12 Month Contract

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