Mlops engineer Work, Jobs in Durham, Dur (with Salaries)

AI Engineer
Scrumconnect Consulting —Newcastle upon Tyne
- £58,000 - £74,000 a year
- Hybrid work
- Master's degree
- Machine learning
- AI
MLOps Engineer
Scrumconnect Consulting —Newcastle upon Tyne
- £58,000 - £74,000 a year
- Hybrid work
- DevOps
- Machine learning
- AI
Lead AI Engineer
Scrumconnect Consulting —Newcastle upon Tyne
- £72,000 - £92,000 a year
- Hybrid work
- Master's degree
- Mentoring
- Scripting
Site Reliability Engineer
Trimble —Newcastle upon Tyne
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Bachelor's degree
AWS Architect
Version 1 —Newcastle upon Tyne
- Full-time
- DevOps
- AWS
- Leadership
- Employee assistance programme
- Employee discount
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AI Engineer
Scrumconnect Consulting —Newcastle upon Tyne
All production system and data access must be performed solely from within the UK. Comfortable working within secure, regulated environments and handling…
£58,000 - £74,000 a year
MLOps Engineer
Scrumconnect Consulting —Newcastle upon Tyne
All production system and data access must be performed solely from within the UK. Hybrid, based from Newcastle upon Tyne, with on-site attendance required for…
£58,000 - £74,000 a year

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mlops engineer jobs near durham, dur

AI Engineer

Scrumconnect Consulting
Newcastle upon Tyne

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Job details

Permanent
£58,000 - £74,000 a year

Qualifications

Law
Master's degree
Machine learning
AI

Full job description

Job Information

Date Opened 17/07/2026
Job Type Permanent
Industry IT Services
Work Experience 5+ years
Salary £58k - £74k
City Newcastle upon Tyne
Province Tyne and Wear
Country United Kingdom
Postal Code NE1

Job Description

About Scrumconnect Consulting

Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens.

Overview

We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect.

Key Responsibilities

Build & Integrate

Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's legacy and multi-cloud systems.

Prompt Engineering & Evaluation

Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time.

Responsible AI in Practice

Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads — this is an execution role, not a policy-setting one.

Documentation & Handover

Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers.

Required Skills & Experience

Practical experience building applications using LLMs or other foundation models, via API or self-hosted
Experience with RAG architectures, vector databases, and embedding-based retrieval
Solid general-purpose programming (commonly Python) and API design/integration skills
Prompt engineering with a systematic, evaluation-driven approach rather than trial and error
Familiarity with agentic/orchestration frameworks and multi-step AI workflows
Comfortable working within secure, regulated environments and handling sensitive data appropriately

Desirable Experience

Experience delivering digital services within UK central government or the wider public sector
Familiarity with GOV.UK Service Standard expectations
Exposure to open-source LLM tooling or communities
Familiarity with AI/ML tooling on AWS, Azure, or GCP

Location and Working Pattern

Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK.

How We Work

Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment.

How to Apply

Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance — please flag in your application if you already hold clearance.

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