Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Manager - Data & AI Engineering

Currys
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager - Data Engineering

Senior Manager - Tech data Analyst

Senior Manager, AI Architect and Data Scientist, Central Business Services

Senior Manager, AI Architect and Data Scientist, Central Business Services

Senior Manager, AI Architect and Data Scientist, Central Business Services

Senior Manager, AI Architect and Data Scientist, Central Business Services

Senior Manager - Data & AI Engineering

Waterloo - Hybrid Working
Full time

permanent 
Grade 5

 

At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.

 

The Senior Manager – Data and AI Engineering role is a senior hands on technical role. It will be accountable for leading our Data and AI Engineering and Machine Learning (ML) Ops teams in the UK and India for deliverables across UK & Ireland.  

 

Role overview:

 

As part of this role, you'll be responsible for:

 

•    Hands on Leadership of the Data and AI Engineering teams and ML Ops capability based in the UK and India
•    Increase the capability and standards of our Engineering and ML Ops function
•    Lead the evolution of our data engineering framework on Azure Databricks
•    Work with the Principal AI engineer of the adaptation and evolution of our Gen AI Platform
•    Develop and socialise Data, AI and ML Ops standards across our data engineering and data science practices
•    Assist in the creation of solution designs for the approval by our architecture, governance and security functions
•    Develop and implement patterns to ingest and analyse unstructured data 
•    Ensure cost efficient data operations on the platform 
•    Ensure delivery of robust and efficient data pipelines and architectures that support our data science teams
•    Stay abreast of the latest industry trends and technologies, integrating new technology and best practices into the team's workflows where appropriate
•    Implement, maintain and evangelise best practices for data engineering, including data governance, security, and compliance.
•    Optimize performance, scalability, and efficiency of data pipelines and ML Ops processes
•    Drive continuous improvement initiatives, leveraging feedback and performance metrics to enhance team effectiveness and project outcomes.
•    Minimise consumption and storage costs across our Azure Databricks platform

 

This role will define, document and enforce data and ML engineering standards. It will have accountability for the performant and efficient build and operation of data components on our Azure Databricks Cloud platform. The role will be responsible for ensuring that we are utilizing the optimal software components on the platform and will own our data ingestion patterns and ML Ops practice. 

 

 

You will need:

 

•    Experience delivering data engineering solutions in cross functional environments
•    Experience of leading data engineering teams / ML Ops functions and supporting Data Science teams in cross functional environments
•    Deep understanding of Azure services, including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Storage, and Azure ML
•    Proficiency in managing and optimizing cloud resources for performance and cost-efficiency
•    Extensive experience with Databricks, including Spark SQL, Delta Lake, and Databricks clusters
•    Experience in deploying, monitoring, and optimizing machine learning models in a production environment
•    Proficiency in programming languages such as Python, Scala, and SQL
•    Knowledge of scripting languages for automation and orchestration
•    Experience with DevOps practices
•    Familiarity with containerization 
•    Excellent written, oral communication and advocacy skills, with demonstrable experience of prioritising effectively, managing diverse and multiple stakeholders

 

We know our people are the secret to our success. That's why we're always looking for ways to reward great work. You'll find a host of benefits designed to work for you, including:

 

  • Company bonus
  • Private Medical
  • Pension

 

Why join us:

 

Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life.

 

Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet. 

 

Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email and we'll do our best to help.

 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.