Senior data and ai engineer Work, Jobs in Pulloxhill, Bdf (with Salaries)

Senior Data and AI Engineer
Renewable Energy Systems Limited —Kings Langley
- Full-time
- Azure
- Computer Science
- Engineering
Senior Security Platform Engineer (m/f/d)
NTT Global Data Centers —Hemel Hempstead
- Full-time
- English
- Bachelor's degree
- Leadership
Senior AWS Cloud Engineer | S4 | Data & AI Domain | Milton Keynes
A01 Santander UK plc —Milton Keynes
- £80,000 - £120,000 a year
- Full-time
- Hybrid work
- Spanish
- English
- AWS
Senior Software Engineer
PayPoint —Welwyn Garden City
- Full-time
- Hybrid work
- Master's degree
- Databases
- Continuous improvement
- Employee discount
Quick apply
Senior Electrical Engineer - HH2
NTT Global Data Centers —Hemel Hempstead
- Full-time
- Hybrid work
- Travel
Senior Cyber Security Engineer
Leidos —Huntingdon
- £61,500 - £78,800 a year
- Full-time
- Travel
- Agile
- Linux
- Annual leave
- Work from home
Senior Reliability Engineer
Lumentum —Towcester
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
Lead/Senior Software Engineer - Full stack
NECSWS —Hemel Hempstead
- Full-time
- Remote
- Computer Science
- DevOps
- Engineering
- Annual leave
- Employee assistance programme
Quick apply
8d
Engineer
Haven —Hemel Hempstead
- Part-time
- Remote
- Travel
- AI
- Time management
- Employee discount
Quick apply
Senior Systems Engineer
Leonardo UK Ltd —Luton
- £45,000 - £58,000 a year
- Full-time
- Hybrid work
- Bachelor's degree
- Machine learning
- No degree
- Flexible schedule
- Referral programme
Senior Information Assurance Engineer
Leidos —Huntingdon
- £61,500 - £78,800 a year
- Full-time
- Travel
- Organisational skills
- Leadership
- Annual leave
- Work from home
8d
Mid-Level Data Engineer (Microsoft Fabric)
Delphi Care Solutions —Stevenage
- £55,000 - £70,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
- Annual leave
- Employee assistance programme
Quick apply
1d
Senior Analytics Engineer - Cyber Data Platform
Tesco UK —Welwyn Garden City
- Full-time
- Mentoring
- Recruiting
- AI
- Employee assistance programme
9d
Deputy Chief Engineer
Leidos —Huntingdon
- £61,500 - £78,800 a year
- Full-time
- No degree
- Mentoring
- Agile
- Annual leave
- Work from home
Principal Software Engineer (AI/ML)
Leonardo UK Ltd —Luton
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Machine learning
- Flexible schedule
- Referral programme
Data Engineer
NICHE SKILLS LIMITED —Watford
- £39,000 - £40,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- SQL
Quick apply
Senior Consultant / Consultant - Geospatial and Data Analytics
Steer —Hemel Hempstead
- £35,000 - £45,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Annual leave
- Employee assistance programme
Quick apply
Director of Engineering Development
nLighten —Milton Keynes
- Engineering
- English
- Continuous improvement
Quick apply
Lead Software Engineer
easyJet —Luton Airport
- Full-time
- Hybrid work
- Mentoring
- AI
- Employee discount
10d
Principal Hardware Engineer I
CesiumAstro —Milton Keynes
- Full-time
- Engineering
- Laboratory experience
- Bachelor's degree

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Senior Data and AI Engineer

Renewable Energy Systems Limited -
Kings Langley

Apply Now

Job details

Permanent | Full-time

Qualifications

Data development experience
Azure
Law
Computer Science
Engineering
Test automation
Software development operations experience
Docker
CI/CD pipelines
Machine learning
Quality control
Mentoring
Data warehousing
Data pipeline
AI
DevOps implementation
Microsoft Azure
Data warehouse
Infrastructure provisioning automation

Full job description

What You'll Do

Design, build, and operate reliable, secure, and observable data pipelines and curated datasets that power enterprise reporting, analytics, and AI/ML use cases.
Lead AI/ML engineering as a core workstream, designing feature-ready datasets, model pipelines, and AI-ready data products, and applying engineering rigour (testing, versioning, observability) to ML pipelines.
Engineer data products and pipelines that support LLM and generative AI use cases, including retrieval-ready data structures and pipelines feeding AI applications.
Drive engineering automation as a standing discipline, evaluating and adopting AI-assisted code generation and testing tools to reduce manual engineering effort, and building internal tooling and patterns the wider team can use to build faster.
Own engineering quality, performance, and cost optimisation across the platform, implementing data quality controls, testing frameworks, monitoring, and observability.
Build and maintain production-grade data infrastructure on Azure / Microsoft Fabric, including data lakes, lakehouses, and modern data warehouse patterns.
Define and implement CI/CD pipelines for data and ML engineering workflows, applying infrastructure-as-code and automated quality gates as standard practice.
Apply containerisation and orchestration tooling (e.g. Docker, Airflow, or equivalent) to production data and ML workflows.
Partner across architecture, governance, data modelling, and reporting to deliver coherent, end-to-end data and AI products.
Mentor and support engineers, setting the standard for quality, craft, and engineering rigour, including how the team uses AI-assisted automation.
Contribute engineering expertise to RES's Synapse-to-Fabric migration programme, working alongside the platform architect to convert pipelines and warehouse objects at scale using AI-assisted tooling.

What You'll Bring

Previous experience as a data engineer and senior engineer. Typically 10+ years.
Azure Fabric data platform — expertise across Azure Data Factory, Synapse, Microsoft Fabric, Purview, Unity Catalogue, and Data Lake / Lakehouse architectures.
Python — advanced proficiency including open-source data and ML libraries, frameworks, and production pipeline development.
SQL — expert-level for data modelling, transformation, and complex query optimisation.
AI/ML engineering — building data infrastructure for machine learning and AI use cases, feature engineering, model pipeline support, and production ML pipeline engineering.
AI-assisted engineering automation — experience using AI coding and conversion tools (e.g. Copilot, Claude, or equivalent) to accelerate engineering work at scale, with a clear approach to validating their output.
MLOps — CI/CD for data and ML pipelines, infrastructure as code, containerisation, and orchestration tools such as Airflow or equivalent.
Data quality & observability — hands-on experience with testing frameworks, monitoring, and quality controls in production environments.
LLMs and generative AI — practical understanding of how to engineer data products and pipelines that support LLM and GenAI use cases.
Technical leadership — track record of engineering and architectural decision-making across data and AI/ML disciplines, setting standards, and delivering automated engineering work while contributing to strategy and roadmap thinking.

Your Background

Essential

Degree in computer science, data engineering, software engineering, or a related field — or equivalent hands-on experience.
Significant experience (typically 10+ years) delivering enterprise-grade data engineering solutions in production environments, with meaningful experience in ML/AI engineering.
Proven track record as a Senior Data Engineer or Senior Data & AI/ML Engineer, including building large-scale data and ML systems.
Deep expertise in the Microsoft Azure data ecosystem — ADF, Synapse, Fabric, Purview, Unity Catalogue.
Advanced Python skills including open-source data and ML libraries, frameworks, and messaging systems.
Strong experience building and maintaining production data infrastructure for AI and ML consumption, including model pipelines and feature engineering.
Experience with MLOps practices: CI/CD for data and ML pipelines, automated testing, and infrastructure as code.
Experience with modern data stack tooling — dbt, Airflow, Prefect, or equivalent orchestration and transformation frameworks.
Experience with automation tooling such as Power Automate, Power Platform, or equivalent, and practical use of AI-assisted engineering tools in production settings.
Relevant certifications in Microsoft Azure, data engineering, or AI/ML.
Exposure to working alongside data scientists and AI engineers in a shared platform model.

Desirable

Experience with a platform migration at scale — such as Synapse to Fabric or an equivalent large data platform transition — using automation or AI tooling to accelerate conversion work.

Department

Group - IT/IS - 710

Location

United Kingdom, Kings Langley
United Kingdom, Glasgow
United Kingdom, Larne
United Kingdom, Gateshead
United Kingdom

Employment type

Permanent Full Time

Apply Now

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senior data and ai engineer jobs in pulloxhill, bdf

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