Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer - Machine Learning - Hybrid

Manchester
5 months ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Data Scientist

Lead R Data Scientist - Sustainability

Data Science Engineer

Staff Data Scientist

Artificial Intelligence

My client has been a pioneer in delivering data-driven insights to the media and market research industries for over a decade. Their platform provides unique and actionable data solutions to top brands and partners worldwide, empowering them to make informed, strategic decisions.

They are seeking an experienced Data Engineer to work closely with our Machine Learning and Product teams to ensure our data products are of the highest quality. The ideal candidate will have strong analytical skills, expertise in Python and SQL, and a passion for debugging and improving data processes. This role requires collaborative problem-solving, a keen attention to detail, and the ability to translate complex business requirements into robust data solutions.

The Role:

Your primary responsibilities will involve analysing and troubleshooting issues with data products and collaborating with both Product and ML teams to devise robust solutions. You will apply strong Python and SQL skills to ensure data accuracy, integrity, and scalability, while also engaging in continuous improvements to our data products.

You will tackle complex data challenges in a fast-paced, exciting environment, leveraging cutting-edge Big Data open-source technologies like Apache Spark, as well as Amazon Web Services (AWS) solutions such as Elastic MapReduce (EMR), Athena, and Lambda to develop innovative and scalable data solutions.

Key Responsibilities:

  • Continually review and measure the performance of data products and drive innovation and improvements

  • Become a subject matter expert for data products and supporting processes and be able to present to others to knowledge share.

  • Regularly reviewing colleagues’ work and providing helpful feedback.

  • Working with stakeholders to fully understand requirements and be a technical reference point for product team members on customer calls.

  • Writing application code and tests that conform to standards.

  • Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.

    About You:

    Here’s what we’re looking for:

  • SQL and Python development experience as a Data Engineer, preferably using AWS or equivalent cloud provider.

  • Analytical skills to be able to present decisions to stakeholders in a data driven way.

  • The ability to problem-solve and break down complex problems, whilst working on complex datasets.

  • Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications.

  • Good interpersonal skills, positive attitude and willing to help other members of the team

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.