National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

ANSON MCCADE
Leicester
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Big Data

Data Engineering Active DV Clearance Required Anson McCade is delighted to be partnering with a world-renowned consultancy as they seek to appoint Data Engineer to their talented organisation. This opportunity provides experienced individuals who are driven by curiosity and a passion for innovation, committed to building the world's leading AI-powered, cloud-native software solutions for our clients customers. With a legacy of success, our client offer global opportunities, providing a welcoming environment for those looking to advance their careers. The Data Engineer will work across product and technology ecosystem spans Research, Software, and Infrastructure, positioning you at the forefront of growth and innovation. The Data Engineer role calls for a highly analytical professional skilled in Python programming, database management, and data methodologies. Your focus will be on extracting insights from data, developing and deploying machine learning models, managing large-scale data infrastructure, and supporting the development of AI-driven products. Key Responsibilities: Data Collection and Preparation: Gather and clean data from various sources to ensure high-quality datasets that support informed decision-making. Data Analysis and Visualization: Analyze and visualize data using advanced methods to uncover patterns, insights, and trends. Statistical Analysis: Use statistical and mathematical techniques to build a solid foundation for predictive modeling. Machine Learning and AI: Design and implement machine learning and deep learning models to solve key business challenges. ML-Ops / AI-Ops: Apply ML-Ops/AI-Ops best practices to streamline model deployment and management. Big Data Management: Oversee big data infrastructure and perform data engineering tasks to ensure efficient data handling and processing. Version Control and Collaboration: Use version control tools like Git to maintain code integrity and promote team collaboration. AI-Powered Product Development: Develop, design, and support AI-based products that provide meaningful solutions aligned with business goals and user needs. Technical Skillset: Develops applications leveraging Big Data technologies, including API development. Should possess a background in traditional Application Development, along with familiarity with analytics libraries, open-source Natural Language Processing (NLP), and statistical and big data computing libraries. Exhibits strong technical skills in understanding, designing, writing, and debugging complex code. AWS (Lambda S3 DynamoDB etc) Cloudformation JavaScript Cypress testing Openshift containers

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.